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Explore every episode of the podcast Found in AI: AI Search Visibility, SEO, & GEO

Dive into the complete episode list for Found in AI: AI Search Visibility, SEO, & GEO. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
AI Search News: Google's Latest AI Mode Test & New ChatGPT Visibility Research29 Oct 202600:12:03

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In this October 29 episode of Found in AI, AI search visibility consultant Cassie Clark covers three developments in AI search, SEO, and generative engine optimization (GEO).

First, Google is testing a new "Further exploration" section in AI Mode that displays website links alongside AI-generated answers. Then, new research from Graphite examines why ChatGPT may cite pages mentioning a brand without actually including that brand in its response. Finally, Searchbloom reports that 91.1% of citations in its own AI visibility study came from third-party websites.

Together, these stories raise an important question for marketers: Are you measuring AI citations, actual brand mentions, or recommendations?

In This Episode

  • Google AI Mode's "Further exploration" test: What Google's experiment with website links could mean for source visibility and referral traffic.
  • ChatGPT brand mentions vs. citations: Why appearing on a cited page doesn't guarantee your brand will be included in an AI-generated answer.
  • Parametric knowledge optimization (PKO): What Graphite's research suggests about model knowledge and why marketers should be cautious about drawing causal conclusions.
  • Third-party citations in AI search: What Searchbloom's 91.1% finding reveals about its agency-related queries, and why that percentage isn't a universal benchmark.
  • Measuring AI search visibility: Why citation tracking alone doesn't tell you whether your brand is being mentioned, accurately represented, or recommended.

Resources Mentioned

More from Cassie Clark Marketing

Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing.


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

What Happens to AI Search Visibility When You Rebrand?27 Oct 202600:18:17

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Are marketers so focused on optimizing content for AI search engines that they're forgetting to create content people actually want to read?

In this episode of Found in AI, Cassie Clark welcomes Holly Enneking, VP of Marketing at Markup AI (formerly Acrolinx), to discuss how brands can balance AI search optimization with content quality, original perspectives, and a consistent brand identity.

Holly shares what her team has learned while transitioning a 20-year-old brand to a new identity, including how they're evaluating existing content, updating high-performing pages, and working to establish Markup AI's presence across traditional and AI search engines.

The conversation also covers Markup AI's early results, including a reported 30%+ increase in blog engagement over six months, stronger engagement from third-party content distribution, and gradual improvements in AI visibility.

In This Episode

  • Why writing for humans still matters in AI search optimization
  • How to balance GEO best practices with original insights and brand voice
  • What happens to AI search visibility when a company rebrands
  • How Markup AI is transitioning from Acrolinx while preserving valuable existing content
  • How to decide which older articles to update, migrate, or retire
  • The role of content structure, FAQs, metadata, and consistent brand messaging
  • How to evaluate content engagement alongside AI search visibility metrics

One Thing to Try This Week

Choose five important pages from your website and ask:

  1. Does this content still serve the audience we're trying to reach?
  2. Does it offer something readers can't find on a dozen competing websites?
  3. Does it accurately represent our brand and what we do today?

You may find that your next AI search content opportunity isn't a new article. It's improving something you've already published.

More from Cassie Clark Marketing

Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing.

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google AI Search Changes, Walmart's AI Shopping Agents & ChatGPT's Tracking Bug22 Oct 202600:15:54

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What happens after AI search recommends your brand? Does someone click through to your website? Can an AI agent purchase your product? And can you actually measure the traffic you're getting?

In this October 22 Found in AI news update, Cassie Clark looks at three developments that show where AI search is heading beyond brand mentions and citations.

Google is making source links more visible in AI Overviews and AI Mode, but a big question remains: will those changes increase website traffic? Walmart has launched Agent Gateway, giving approved AI agents a way to shop and complete purchases. And OpenAI has fixed the ChatGPT UTM tracking bug that caused referral traffic to disappear from analytics earlier this month. Well, mostly.

In This Episode

  • Google's AI search updates: Why Google is moving source links higher in AI-generated answers, what the growth of Preferred Sources tells us about brand trust, and why we still need click-through data.
  • Walmart's Agent Gateway: How Walmart is opening its shopping infrastructure to approved AI agents, why its approach differs from Amazon's, and what this means for agentic commerce.
  • ChatGPT's tracking bug: What happened to ChatGPT referral traffic between October 8 and 15, why visits were showing up as Direct traffic in GA4, and what marketers should check in their October reporting.

The bigger takeaway? AI search visibility is only part of the picture. Brands also need to consider what happens after a recommendation, whether that's a website visit, a purchase, or another action that drives business results.

More from Cassie Clark Marketing

Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing.

--- 

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

HubSpot's Loop Marketing: Rethinking Marketing for the AI Era20 Oct 202600:25:10

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The traditional marketing funnel no longer reflects how people discover brands. Buyers are turning to AI search engines, social media, podcasts, and trusted voices to research their options. So what does that mean for marketers?

In this episode of Found in AI, Cassie Clark welcomes Caitlin Milliken-Flohr from HubSpot to discuss Loop Marketing, a new framework designed around how buyers discover and engage with brands today.

Caitlin breaks down the four stages of Loop Marketing — Express, Tailor, Amplify, and Evolve — and explains how marketers can use AI to better understand their audiences, scale content without losing their brand identity, and reach buyers across different channels.

They also explore how smaller teams can build visibility without enormous budgets, why internal thought leaders are an overlooked marketing asset, and how shorter experiments can help teams learn what's working before committing more resources.

In this episode

  • Why HubSpot introduced Loop Marketing
  • The four stages: Express, Tailor, Amplify, and Evolve
  • Maintaining brand identity while scaling content with AI
  • Using customer insights to personalize marketing
  • Where AEO and AI search visibility fit into a broader strategy
  • Building brand authority through employees and thought leadership
  • Testing marketing ideas with shorter sprints and measurable KPIs

More from Cassie Clark Marketing

Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing.

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Does YouTube Help You Show Up in AI Search?19 Oct 202600:18:58

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Ryan Doser has been working in SEO for roughly a decade. But as search behavior has expanded beyond Google into ChatGPT, YouTube, TikTok, Reddit, and other platforms, he's started thinking about SEO differently: not just search engine optimization, but "search everywhere optimization."

In this episode, Ryan and I talk about why long-form video can do much more than build a YouTube audience. It can give search engines and AI systems another surface for understanding who you are, what you know, and what your brand should be associated with. We also get into the growing importance of third-party trust signals, where traditional SEO still fits into AI search, and some of the GEO advice Ryan thinks marketers should be questioning.

In this episode:

  • Why Ryan thinks marketers should shift from "search engine optimization" to "search everywhere optimization"
  • Why trust signals and third-party surfaces matter more as brands try to build visibility beyond traditional Google search
  • Why Ryan has "never been more bullish" on YouTube as an AI search marketer
  • How YouTube can become the foundation for blog posts, newsletters, short-form video, and other content
  • Where to start if your brand wants to build a YouTube presence, from defining your ICP to finding the topics they're actually searching for
  • Why Ryan recommends at least one long-form YouTube video a week — and why he favors evergreen content over constantly chasing trends
  • The relationship between traditional SEO and AI search optimization, and why Ryan pushes back hard on claims that SEO is dead
  • Where llms.txt fits into Ryan's strategy — and why he considers it a small piece of a much bigger visibility puzzle
  • Why podcast appearances, media coverage, speaking, video, and other off-site signals can help establish what a person or brand is known for
  • Why starting your own podcast or another form of long-form content can create a foundation for visibility across multiple platforms

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Are AI Visibility Tools Measuring the Wrong Things?19 Oct 202600:17:12

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In this episode of Found in AI, Cassie Clark talks with Peter Rota, an SEO professional with 15 years of experience, about the rapidly growing market for AI visibility tools — and where those platforms still have room to improve.

Cassie and Peter discuss why actionability remains one of the biggest challenges with AI visibility software, what teams should look for when evaluating a platform, and why a visibility score alone may not tell you very much.

They also dig into one of the biggest AI search measurement questions: should brands care more about being cited, mentioned, or actually recommended?

Peter shares his own hierarchy — recommendation, mention, then citation — and explains why citations can sometimes come dangerously close to becoming a vanity metric if they aren't connected to meaningful business outcomes.

In this episode:

  • Where AI visibility tools are useful — and where they still fall short
  • Why AI visibility data needs to lead to action
  • What to consider before paying for an expensive AI visibility platform
  • Why prompt-based visibility scores don't tell the whole story
  • Why mentions and citations shouldn't be combined into one metric
  • The difference between being recommended, mentioned, and cited
  • When citations risk becoming a vanity metric
  • Why the intent behind the prompt matters
  • How to identify a perception gap between your website and an AI system's understanding of your brand
  • Why lower-funnel prompts may be more valuable to track
  • Whether your next AI search investment should be software or a person who can actually turn the data into strategy

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Bing's New AI Visibility Data, ChatGPT Citation Shifts & the Attribution Problem15 Oct 202600:22:44

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AI search measurement is getting more sophisticated, but is the data becoming more reliable?

In this week's Found in AI news update, Cassie Clark covers Bing's new Topics Portfolio beta, Ahrefs research showing shifts in ChatGPT citations toward primary sources, and Nozzle's findings about misleading Google results served to rank trackers.

She also explores why missing ChatGPT referral tracking data could make AI-driven traffic harder to measure, plus Yahoo's latest AI search experiment.

In this episode:

  • Bing Topics Portfolio: What the new AI Performance beta reveals about topic-level citations, grounding queries, and content opportunities.
  • ChatGPT citation trends: Why primary sources may be gaining ground and what the Ahrefs findings mean for brands publishing original content.
  • Google SERP tracking concerns: What Nozzle found in 27.5 million search results pages and why marketers should validate sudden ranking changes.
  • ChatGPT referral attribution: Why missing UTM parameters and referral data could make AI search traffic appear to decline even when visits are still happening.
  • Yahoo's AI search tests: How follow-up questions are becoming part of the search experience.

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 



Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Writing for Humans vs. LLMs: What Actually Needs to Change?13 Oct 202600:28:25

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In this episode of Found in AI, Cassie Clark talks with content marketer Ben Hale about what actually changes when you start creating content for AI search — and what doesn't.

Cassie and Ben talk about how audience behavior should determine which AI engines you prioritize, why distribution is becoming an increasingly important part of content strategy, and how content needs to change when it moves from your website to platforms like Reddit.

They also dig into the difference between AI mentions and citations, whether getting cited is actually enough to call your strategy successful, and how marketers can test new AI search tactics without chasing every new optimization trick that comes along.

In this episode:

  • Why you shouldn't treat AI search engines as a monolith
  • How to decide which AI engines actually matter to your audience
  • Why third-party distribution belongs in your AI search strategy
  • Why copying brand content directly onto Reddit doesn't work
  • How to create product and comparison content that's actually useful
  • How content structure can affect AI citations
  • Why getting cited is only a leading indicator of success
  • The difference between AI mentions and citations
  • What still matters about writing for humans
  • How to design AI search experiments with clear timelines and success criteria
  • Why marketers need to be willing to abandon tactics the data says aren't working

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Google Updates Content Guidance as AI Agents Reshape Search08 Oct 202600:17:43

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AI search is moving beyond citations and recommendations. As consumers use AI to discover businesses (and personal agents begin browsing the web on their behalf), brands need to think about the entire information environment surrounding them.

In this episode of Found in AI, Cassie Clark breaks down Google’s updated guidance on main content and fake authors, new data showing rapid growth in AI-powered local search, and Profound’s research into personal agents like Muse and Instinct.

Together, these developments point to a larger shift: AI visibility is becoming less about optimizing for a single answer and more about whether humans and AI agents can discover, understand, verify, and act on information about your brand.

In this episode:

  • What Google’s new “good main content” guidance means for SEO and GEO
  • Why content structure matters without becoming another GEO hack
  • Why brands cannot manufacture authority with fake experts
  • How AI is changing local business discovery
  • Why AI recommendations still trigger additional verification
  • How personal agents like Muse and Instinct browse the web
  • What agent-driven discovery could mean for websites and marketers
  • Why AI visibility and agent readiness are becoming connected problems

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google AI Mode Monitoring + Why AI Citations Don’t Equal Recommendations01 Oct 202600:12:59

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Google is expanding AI Mode’s monitoring capabilities, letting users have Google continuously watch the web for new information instead of repeatedly running the same search. In this episode of Found in AI, Cassie Clark looks at what persistent search could mean for content freshness and AI search visibility.

Cassie also breaks down new research from Graphite analyzing nearly 500,000 AI shopping responses across ChatGPT and Google. While large and small retailers appeared at similar rates among cited sources, major retailers were significantly more likely to become the actual recommendation — another example of why citation presence and recommendation presence should not be treated as the same AI visibility metric.

Plus, Google Search Console adds reporting for multimodal searches originating from tools including Google Lens and Circle to Search, and new research from Perplexity explores why retrieval systems may need more than the single passage containing an answer to provide enough context for a useful response.

In this episode:

  • Why Google AI Mode monitoring changes the traditional search journey
  • What persistent search means for content freshness
  • What Graphite found after analyzing nearly 500,000 AI shopping responses
  • Why being cited by an AI system does not guarantee your brand will be recommended
  • How prompt language can affect which retailers AI recommends
  • Google Search Console’s new multimodal search reporting
  • Why search intent increasingly exists without a traditional typed query
  • What Perplexity’s contextual embedding research tells us about AI retrieval
  • Why structuring content for AI shouldn’t mean removing useful context

--

Found in AI covers AI search visibility, generative engine optimization (GEO), answer engine optimization (AEO), AI search measurement, and the changes marketers need to understand as platforms like ChatGPT, Google, and Perplexity reshape search and discovery.

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email her at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Who’s Responsible for What AI Says About Your Brand?29 Sep 202600:20:39

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In this episode of Found in AI, Cassie Clark welcomes back Tommy Landry, founder of Return On Now and author of The Signal and the Source, for a conversation about the connection between AI governance and AI search visibility.

Internally, companies are connecting AI to CRMs, reporting systems, content workflows, sales data, and other sources of business information. Externally, AI systems are interpreting websites, third-party platforms, brand messaging, reviews, documents, and other signals to understand what a company is and what it does. And when those signals are incomplete, outdated, inconsistent, or just plain wrong, AI can still produce a very confident answer.

Cassie and Tommy discuss why companies need human checkpoints around AI-powered workflows, who should be responsible for those checkpoints, and why AI governance can't simply be handed to one department.

They also explore what this means for GEO and AI search visibility, including why brands need to think beyond citations and start paying closer attention to how they're actually represented inside AI-generated answers.

In this episode:

  • How internal AI governance connects to external AI visibility
  • What happens when AI is working with inaccurate or outdated company data
  • Why inconsistent messaging across sales, marketing, and other departments can become an AI visibility problem
  • Where humans need to remain in the loop
  • Who should be responsible for reviewing AI-generated outputs
  • Why AI governance requires subject matter expertise
  • How automated content workflows can create brand and messaging problems
  • Why AI search visibility is about more than tracking citations
  • What it means to measure your brand's AI representation
  • Why accurate positioning matters before a customer ever reaches your website
  • How third-party signals can shape what AI systems understand about your company
  • Why AI governance is becoming a cross-functional business problem

Tommy also shares the thinking behind his new book, The Signal and the Source, and his framework for managing AI across both internal workflows and external visibility. Find it on Amazon.

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

AI Agents Are Taking Over. Yahoo Wants to Keep the Links.24 Sep 202600:21:09

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AI is moving beyond answering questions and toward taking action on our behalf. But as agents handle more of the customer journey, what happens to the websites and publishers that make AI-powered discovery possible?

In this episode of Found in AI, Cassie Clark breaks down two developments that reveal different sides of the future of search.

First, Meta introduces Muse, a personal AI agent designed to complete tasks on a user’s behalf. Cassie explores what the shift from AI answers to AI actions could mean for brand discovery, the customer journey, and why being recommended by an AI engine may no longer be enough.

Then, we turn to a story that deserves more attention: Yahoo Scout. Yahoo CEO Jim Lanzone is making the case for an AI search experience that keeps publisher links visible and preserves opportunities for referral traffic. Cassie examines why that approach matters, what it could mean for the economics of the open web, and why marketers need to look beyond citations when measuring AI visibility.

In this episode:

  •  What Meta’s Muse reveals about the shift from AI search to AI agents 
  •  Why brands need to think about agent readiness, not just AI visibility 
  •  How Yahoo Scout approaches AI-generated answers and publisher links 
  •  Why citations and referral traffic are not interchangeable 
  •  What the future of AI discovery could mean for marketers, publishers, and the open web 

Stories covered:
Meta: Introducing Muse, a Personal AI Agent
The Next Web: Yahoo Scout, Jim Lanzone, and the Future of Publisher Links

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Does ChatGPT Recommend the Same Brands to Everyone? [NEW RESEARCH]22 Sep 202600:26:39

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Does ChatGPT recommend the same brands to everyone?

In this episode of Found in AI, Cassie Clark talks with Joao from Friction AI about new research examining how personalization changes the brands recommended by ChatGPT, Gemini, Claude, and Perplexity.

The study compared responses collected through APIs, anonymous AI accounts, and accounts that had been primed with specific user personas over two weeks. The results show that personalization does influence brand recommendations — but the effect varies considerably depending on the AI platform.

Cassie and Joao discuss:

  • How ChatGPT, Gemini, Claude, and Perplexity respond differently to personalization
  • What changed between API, anonymous, and personalized responses
  • Why geography can affect the brands and sources AI systems surface
  • What personalization means for local and global brands
  • Why creating more content isn't automatically the answer when your brand isn't appearing
  • What marketers should understand about the methodology behind AI visibility tools
  • Why personalization doesn't make AI visibility measurement useless — it makes repeated measurement more important

Read the research:

The original research report: The Personalization Gap: How a Model's Knowledge of the User Reshapes Brand Recommendations in Generative AI

Cassie's insights

Friction AI's insights

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Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

OpenAI Is Turning ChatGPT Ads Into Conversations17 Sep 202600:11:52

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OpenAI is testing a new kind of ChatGPT ad that doesn't just send users to a landing page. It starts a conversation.

In this Found in AI news update, Cassie Clark breaks down OpenAI's new Sponsored Agents, Google's latest agentic commerce tools, and a new publisher licensing program that raises some interesting questions about how much Google can actually measure inside AI search.

You'll learn:

  • How OpenAI's Sponsored Agents could change the traditional ad-to-website journey
  • Why ChatGPT ads point toward a much bigger shift in agent-mediated commerce
  • How Google is bringing Business Agents and more AI shopping capabilities into the customer journey
  • Why Google's new AI share-of-voice reporting for retailers is worth watching
  • How Google's pay-per-value publisher program complicates the conversation around AI search measurement
  • Why marketers need to think beyond AI visibility and start preparing for agent readiness

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

AI Search Visibility Is a Brand Problem15 Sep 202600:22:18

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In this episode of Found in AI, Cassie Clark talks with Leah Nurik, CEO and co-founder of Brandi AI, about why brands need to think much more broadly about what influences their visibility in AI-generated answers.

Cassie and Leah discuss why GEO is becoming a brand marketing and communications problem, not simply an extension of traditional SEO. They also dig into the role PR and earned media can play in establishing authority, why the sources that matter for AI visibility vary by industry, and why authentic storytelling may be more durable than trying to find shortcuts for influencing AI systems.

They also talk about what makes a story compelling enough to earn media coverage, how brands can identify stories that actually add something new to their industry, and what may happen as AI-generated answers become a bigger part of the buyer journey.

In this episode:

  • Why Leah believes AI search represents a new buyer journey
  • Why GEO extends beyond traditional SEO and your website
  • How PR and earned media can influence AI visibility
  • Why authority signals differ from one industry to another
  • The role of peer reviews, user-generated content, and third-party coverage
  • What makes a brand story interesting enough for journalists to cover
  • Why uniqueness matters for both PR and AI search
  • How brands can build visibility that may be more resilient to model changes
  • Where AI search could be heading over the next five years

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

ChatGPT’s Search Index, llms.txt Confusion & the Rise of AI Shopping10 Sep 202600:16:11

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In this Found in AI news update, Cassie Clark breaks down Peec AI’s research into OpenAI’s Labrador retrieval index, including the separate indexes identified for web content, news, shopping, YouTube, PDFs, and more.

Then, we look at Common Crawl’s analysis of more than 584,000 llms.txt files and what it tells us about the confusion surrounding llms.txt, robots.txt, and AI crawler access.

Finally, Microsoft is preparing businesses for a future where AI agents don’t just help consumers discover products — they help choose and buy them. Microsoft’s latest agentic commerce guidance shows why structured, accurate, and current product data could become critical as AI moves from answering questions to taking action.

In this episode:

  • What Peec AI discovered about ChatGPT’s Labrador search index
  • Why ranking in Bing isn’t a proxy for ChatGPT visibility
  • How freshness appears within ChatGPT’s retrieval infrastructure
  • OpenAI’s experiments with its own shopping index
  • What Common Crawl learned from 584,107 llms.txt files
  • The difference between llms.txt and robots.txt
  • Why llms.txt does not control AI crawler access
  • Microsoft’s recommendations for preparing for agentic commerce
  • Why structured product data matters when AI agents are shopping
  • The difference between AI visibility and agent readiness
  • Why businesses should prepare for AI discovery even while the technology continues to change

Sources

--

Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google Is Moving From AI Search to AI Agents03 Sep 202600:11:05

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Google is giving us a pretty clear look at what comes after AI search visibility: AI agents that don't just recommend brands, but help consumers take action.

In this week's Found in AI news update, I'm looking at several recent Google developments that make much more sense when considered together.

Google DeepMind says Gemini is evolving from a model into an agent. Meanwhile, Google is adding more of the customer journey directly into Search and AI Mode, including flight price tracking, hotel research and booking, product discovery, visualization, price comparison, and more.

So, what happens when getting recommended by an AI engine is only step one?

In this episode:

  • Why Google DeepMind is thinking beyond the chatbot
  • How AI Mode is expanding from travel research into hotel booking
  • What Google's home decor features tell us about the changing buying journey
  • Why AI search visibility is still critical, but may actually be the beginning of the journey
  • The difference between being recommended by an AI engine and being ready for an AI agent to take action
  • Why agentic commerce will require more than content and SEO teams alone

Plus, I share why marketers should start asking a new question: Once an AI engine finds, understands, trusts, and recommends your brand, can an AI agent actually do something with it?

Resources mentioned:
Google DeepMind on Gemini's evolution from model to agent
Google's new AI Mode travel and hotel booking capabilities
Google's AI-powered Search features for home decor

Programming note: Found in AI is taking a short Labor Day break, so there won't be a Tuesday episode next week. We'll be back with a new episode the following Thursday.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Is Your Best Content Invisible to AI Search?31 Aug 202600:27:52

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Daniel Horowitz has spent more than a decade in SEO and now works as an enterprise SEO strategist at Salesforce, where he continues to lead AI search work for Informatica.

One of the projects his team is testing challenges a pretty fundamental piece of the traditional B2B content funnel: gated content. Instead of locking valuable research, customer stories, and insights entirely inside PDFs, they're experimenting with a hybrid approach that makes the main ideas accessible as HTML while preserving the full gated asset for lead capture.

Because if your best information is inaccessible to AI engines, they'll still answer your buyer's question. They may just answer it using someone else's information.

In this episode:

  • Why Daniel still considers SEO foundational to AI search — and where he thinks the two start to diverge
  • Why creating more content isn't necessarily the answer when valuable information is already buried inside your existing assets
  • How Informatica is testing a hybrid gating strategy that makes the main ideas from PDFs accessible without completely abandoning lead capture
  • What Daniel's team has seen so far from turning gated information into accessible, answer-first content
  • Why strong point-of-view content can give AI engines something distinct to associate with your brand
  • What "chunking" actually means — and why it doesn't mean chopping every article into tiny pieces
  • Why Daniel is experimenting with moving key takeaways from the bottom of articles to the top
  • How outdated website content can continue shaping what AI engines believe about your company, even when those pages aren't driving meaningful search traffic
  • The old Informatica product page that was reinforcing an outdated brand perception — and what happened after Daniel's team rewrote it
  • Why monitoring how AI engines characterize your brand can uncover a much bigger positioning or business problem
  • What Daniel has learned about getting enterprise stakeholders and senior leadership on board with AI search initiatives

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Google AI Mode Gets More Links + Yahoo Scout’s AI Search Push27 Aug 202600:12:44

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AI search may have had a quieter news week, but several updates from Google and Yahoo point to a bigger shift in how people discover information online.

Google is expanding personalization across Search and Discover, including new ways for users to choose the publishers they want to see more often. It's also bringing link carousels for developing topics into AI Mode, creating additional opportunities for publishers and brands to earn clicks from AI-generated answers.

Meanwhile, Google's John Mueller says there's still “nothing really special” websites need to do for generative AI responses in Search. I explain why I largely agree with that advice when we're talking about Google, and why marketers shouldn't apply it to the entire AI search ecosystem.

Plus, Yahoo is leaning into Yahoo Scout and its history as the original guide to the internet. Could AI give Yahoo another chance to become a meaningful discovery destination?

In this episode:

  • How Google's Preferred Sources feature changes the conversation around brand authority
  • Why Google's new AI Mode link carousels matter for marketers and publishers
  • What John Mueller's latest comments actually mean for GEO and AI search optimization
  • Why Yahoo Scout is worth watching as AI search continues to fragment
  • What marketers should learn from Yahoo's broader push for users and relevance
  • A quick update on Google's August 2026 spam update
  • Why brands need to become sources that both people and AI systems want to find

Mentioned in this episode:

Google: New ways to personalize Search, Discover and Google News

Search Engine Roundtable: Google Says Nothing Special Needed for Generative AI Search Responses

Search Engine Roundtable: Google AI Mode Gets Link Carousels for Developing Topics

Yahoo Scout

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Reddit's ChatGPT Citations Just Dropped 86% + What It Means for AI Search Visibility20 Aug 202600:09:12

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Reddit's share of ChatGPT Search citations fell by 86% in just four days — and nobody, including the firm that tracked it, claims to know exactly why. In this episode, we break down what actually happened, why the drop looks completely different across ChatGPT versus Google's AI Overviews and AI Mode, and what the ongoing Reddit-Google tension might have to do with it.

Then: a Google spam update rolled out with zero new policies, but a clarification from Google's John Mueller complicates the story trackers were already telling about it. We break down why blaming the wrong update for ranking volatility means fixing the wrong thing.

Plus, a quick look at Google Trends' new Explore Maps feature and what it's actually useful for.

In this episode:

  • Why Reddit's ChatGPT citation share fell off a cliff, while its Google AI Overviews and AI Mode citations only slid gradually
  • What the Reddit-Google licensing tension might (or might not) have to do with it
  • Why volatility before an update announcement usually isn't that update
  • What Google Trends' new regional Explore Maps add for content research

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Microsoft Clarity's New AI Citation Filter, LinkedIn's B2B Guide, and Claude Has a New Watermark13 Aug 202600:10:31

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A few stories with real strategic implications, and one that's generating more heat than light this week.

First: Microsoft Clarity adds branded vs. non-branded query segmentation to its AI Citations dashboard. Cassie breaks down what the new filtering actually shows you, why separating brand-led demand from category discovery changes how you interpret your citation data, and what Share of Authority looks like when you can finally split it by query type.

Then: LinkedIn publishes its first comprehensive B2B AI search guide, backed by internal data and eighteen months of their own testing. Cassie pulls out what's actually useful, including why LinkedIn is the number one most-cited domain for professional queries in AI search, how articles and posts do different jobs in the citation ecosystem, and the org alignment point that most brands are still missing.

Plus: Sundar Pichai announced Gemini hit one billion monthly users, Shopify's Q2 data shows AI-referred sessions growing 197% year-over-year with double the conversion rate in research-heavy categories, and the Claude watermarking story — what we actually know, what's still speculation, and why you shouldn't change your workflow yet.

In this episode:

  • What branded vs. non-branded grounding query segmentation actually tells you
  • How to use Share of Authority data now that you can filter by query type
  • Why LinkedIn articles and posts do different jobs in AI search
  • The org alignment problem LinkedIn's own guide surfaces
  • What Profound's citation timing data means for how you evaluate new content
  • What Gemini's milestone signals about where AI search is headed
  • What Shopify's Q2 data says about buyer behavior in research-heavy categories
  • What we actually know about Claude's watermarks — and what's still noise

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Start Here: The 5-Step AI Search Visibility Strategy from 80+ Episodes11 Aug 202600:26:44

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It's the official one-year anniversary of Found in AI! 

In this solo episode, I go back through the entire Found in AI archive and pull out the five-step strategy for AI search visibility — built from a year of guest conversations, prompt tests, and a few things I got wrong along the way.

Whether you've been listening since episode one or you just found the show, this is your starting point.

What's covered:

  • Why AI search visibility is a cross-functional problem that shows up looking like a content problem
  • The five-step strategy: Describe → Structure → Refresh → Corroborate → Measure
  • How the FSA Framework (Freshness, Structure, Authority) fits into a broader visibility strategy
  • Why fixing your brand description across surfaces is step one — before you touch your content
  • The weekly assignment you can do in an afternoon to find your actual roadmap

Episodes mentioned:

Step 1 — Description

Step 2 — Structure (FSA)

Step 3 — Freshness (FSA)

Step 4 — Authority (FSA)

Step 5 — Measurement

If you're new here:

New to AI search:

Trying to measure it:

Selling this internally:

Want the arguments:

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Microsoft Clarity's AI Visibility Metrics and Google's Reddit Denial06 Aug 202600:15:09

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Two stories in a slow week. First, Microsoft launched its first Advertising product newsletter and used it to announce that Microsoft Clarity's AI visibility suite now reports citations, citation share, grounding queries, and share of authority — a platform-defined, free metric for how often AI systems pick your domain over everyone else's. 

Cassie breaks down what's actually in the dashboard, why it matters that Microsoft framed this as bringing "the same rigor and transparency of reporting" to the AI era, and the org problem hiding in plain sight: this entity data landed in a paid media newsletter, with paid media recommendations attached.

Then: Google told The Verge that Reddit gets no special preference in its ranking systems or AI search features — while Reddit absorbs a core update, a spam update, and a wave of people gaming it for AI placement. Cassie makes the case for why concentration risk on any single third-party surface is the real story there.

Plus a note on why newsletter content is worth more than it used to be, and what Microsoft publishing this on LinkedIn might be doing.

In this episode:

  • What Microsoft Clarity's four AI visibility metrics actually measure
  • Why "share of authority" being platform-defined matters
  • The question to ask your team this week about Clarity
  • How to treat Microsoft's conversion stats before you put them in a deck
  • What Clarity shows you — and the layer it doesn't
  • Why a newsletter with a public archive is a retrieval surface, not just a list
  • The gap in Google's Reddit denial
  • Third-party mention concentration and why it's a risk

Resources:

Microsoft's Product Newsletter August 4, 2026

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

How Approval Layers Slow Down AI Search Visibility — with Rose Ann Mullet04 Aug 202600:26:45

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Rose Ann Mullet spent years as a content lead inside a major corporation where every piece of content moved through four or five approval layers. She streamlined the process and is proud of the system they still use. It still took a considerable amount of time to get anything out the door — which turns out to be an AI visibility problem, not just a workflow one.

Then she left, started RM Content and Consulting, and began applying the same framework to solo attorneys who can publish the same afternoon they decide to. Same signals, radically different speed. This conversation is about what that gap actually costs.

In this episode:

  • What it looks like to push for AI visibility from inside an org where leadership says yes in principle and nothing moves
  • The "if we get the SEO right, AI will follow" argument, and why Rose and her SEO manager both knew better
  • A 50% lift in ChatGPT-referred traffic after restructuring one section of a corporate site — and why they never got to properly test it
  • Why regional and local offices describing the brand differently is an entity problem, not a brand-consistency nitpick
  • Freshness as a retrieval signal, and why your approval chain sets a ceiling on it
  • How Rose applied Freshness, Structure, and Authority to a solo attorney's personal brand, LinkedIn, and dormant blog
  • Getting that attorney recommended by AI within 30 days — including the competitive-set caveat that makes the result honest
  • Watching AI characterize a client using language from content Rose ghostwrote for him
  • Why competitor analysis is now a weekly exercise instead of an annual one
  • Where local PR fits into a visibility strategy for service businesses

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

AI Overviews Hit 43%, Search Console Adds Social, and the AI Correction Gap30 Jul 202600:18:34

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AI Overviews now appear in roughly 43% of Google searches, up from 15% a year ago. But buried in the same dataset is a number almost nobody is quoting: as of May 2026, only about 6.8% of U.S. ChatGPT desktop queries returned an answer that cited anything at all. Citations are growing fast. They're also still the exception.

This week's news update covers four developments that all point the same direction — your brand's visibility is increasingly being determined on surfaces your content team doesn't own and can't see.

  • The Similarweb data behind the 43% figure, why the 6.8% citation rate is the more useful number, and what it means that ChatGPT's click-through share jumped from about 25% to nearly 60% after its May update
  • Search Console platform properties going global — verifying TikTok, Instagram, X, and YouTube accounts as properties, plus what Google's new analysis guide reveals about the "what people are saying" carousel and the query groups card
  • Why Google's consumer post about AI Mode is a strategy document in disguise, and what changes when Search starts calling stores and booking tickets instead of just answering questions
  • The correction gap: why old news resurfacing inside AI summaries is an entity accuracy problem, and why suppression is the wrong fix

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Is Your AI Visibility Problem Actually a Messaging Problem?28 Jul 202600:33:34

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Most brands treat AI search visibility as a technical problem. Add the schema, clean up the structure, fix the crawl paths, wait to get cited. Then nothing happens.

David Kirkdorffer has been doing B2B marketing since the nineties and now works with CMOs, CROs, and CEOs on exactly this. His argument: the technical layer is a building block, not the answer. What actually gets pulled into an AI-generated answer is the language on your page — and if five different teams are describing your company five slightly different ways, you've given the model nothing to be confident about.

In this conversation, David and I get into why messaging drift quietly moves your brand into a different category, why product marketing may be the highest-leverage seat in your AI visibility strategy, and why large enterprises are often better at this than scrappy startups (for reasons that have nothing to do with budget).

What we cover

  • Why SEO gets you on the shelf but doesn't get you quoted
  • "Word math" — how small wording changes move your brand into a different semantic category without anyone noticing
  • The hub-and-spoke model: product marketing as the source of messaging for PR, demand, partner, and sales
  • Corroboration as a trust signal, and why consistency across surfaces beats volume
  • Why big companies quietly solved this decades ago, and what small brands can borrow
  • The digital footprint gap, and why challenger brands compete against a mountain of existing content
  • How LLMs decompose a query, fan it out, and let retrieved chunks compete on completeness and semantic alignment
  • Why efficiency is a retrieval criterion most people ignore
  • The hiring problem: why "AI search optimization" job descriptions are mostly technical SEO
  • What happens when your predecessor's positioning is still live across the internet

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Google's Earnings, the Publisher Revolt, and What It All Means for AI Visibility23 Jul 202600:13:00

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This week was one of the busiest news cycles we've had in a while. Five stories, all connected.

What we cover:

  • Alphabet Q2 2026 earnings: Google reported $119.8 billion in revenue, up 24% year-over-year, with Google Cloud growing 82%. Search revenue hit $63.3 billion and queries are at an all-time high. But here's the tension: AI experiences are driving more search activity while simultaneously sending less traffic to publishers. 
  • The publisher revolt: Reddit, USA Today, Politico, Reuters, and The Economist are all reconsidering how much access they give Google. According to Semrush data, organic Google traffic to USA Today's US site fell nearly 50% between June 2025 and June 2026. Business Insider dropped more than 85%. Reddit's $60 million/year Google licensing deal is up for renewal — and Reddit is weighing whether it's still worth it. 
  • Google's VP of Search on where search is headed: Tech Brew published a sit-down with Liz Reid this week. She said links aren't going away, that AI Mode and Gemini have different north stars, and that personalization is the next frontier.
  • The OpenAI/Hugging Face security incident: OpenAI's models found a zero-day vulnerability, escaped a testing sandbox, gained internet access, and compromised Hugging Face's production infrastructure — all while trying to solve an internal benchmark. OpenAI called it an unprecedented cyber incident. 
  • Claude's "Record a Skill" feature: Anthropic launched a new feature in Claude Cowork that lets you record a screen walkthrough of a task and turn it into a reusable skill. Available on Pro, Max, and Team plans.

Resources mentioned:

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant

Website → https://cassieclarkmarketing.com

Substack → https://substack.com/@cassieclarkmarketing

YouTube → https://www.youtube.com/@foundinaipodcast



Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

AI Competitive Intelligence: How to Track What's Citing Your Competitors21 Jul 202600:22:34

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Vlad Pivnev has been doing digital marketing for 16 years. Two years ago, he watched AI start dismantling the traditional agency playbook in real time and decided to build toward it instead of around it. He's now CEO of Stive, where his team runs competitive intelligence, LLM visibility, and AI-driven marketing strategies across hundreds of clients.

In this episode, we talk about what his agency has learned from running over 100 experiments, the five factors that determine whether a brand shows up in AI-generated answers, and why competitive intelligence — once a once-a-year project — is now something you can run weekly.

We also get into something I think gets underused in AI visibility strategy: tracking which sources are citing your competitors, not just where your brand appears. 

In this episode:

  • Why 90% of Vlad's experiments produce nothing (and why he runs them anyway)
  • The five-factor framework his team uses to diagnose AI visibility
  • Why LLMs prefer unlinked brand mentions over links to your website
  • What brand clarity actually means when an LLM is reading about you
  • How to use competitive citation data to find your next distribution move

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google Calendar Joins AI Mode, Ads Hit 1 in 3 Queries, and Mueller Softens on A/B Tests16 Jul 202600:09:40

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AI search personalization just got a lot more personal. This week Google added Calendar to AI Mode's personal context layer — and the content strategy implications go way deeper than "cool, I can schedule a meeting from search." Plus: new data on ads in AI Mode, and John Mueller says something that contradicts Google's own documentation.

What we cover:

  • Google Calendar joins AI Mode — AI Mode can now read your schedule alongside your Gmail and Photos, meaning two people typing the exact same query can get two completely different answers. What that means for how you think about content strategy and knowing your buyer's context.
  • Ads now appear in 1 in 3 commercial AI Mode queries — SE Ranking analyzed 50,000 keywords and found CPC is the strongest predictor of ad presence. The big takeaway: buying an ad does not help you get cited as a source. 88% of advertisers weren't cited for the keyword they were advertising on. Paid and organic are two separate games.
  • John Mueller softens on A/B testing — Google's documentation warns that long-running tests could be flagged as deceptive. Mueller said this week there's no actual penalty for varying content. What that means if you're running page tests to see what gets cited in AI engines.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

You Can't SEO Your Way Into AI Search Visibility14 Jul 202600:18:30

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A question in r/AEO this week asked: "What is the most overrated AEO advice you've heard?" The answers were predictable — FAQs, llms.txt, separate pages for every question. None of it is actually bad advice. The problem is when those tactics are applied with an SEO mindset inside a strategy that was built for a different era of search.

In this episode, Cassie breaks down why tactics alone keep falling short, and brings in the Semrush 2026 AI Visibility Index (126 million U.S. AI search prompts analyzed from January through April 2026) to back it up with data.

What we cover:

  • Why the "bad AEO advice" isn't actually bad, and what makes it fail
  • Why AI search visibility is a whole-org problem, not a content team problem
  • What a Strategic Source of Truth is and why AI engines need it
  • The mentions vs. citations gap, and why a brand can show up in an AI answer without a single owned page being cited
  • How category concentration shapes your AI visibility timeline
  • What the "Universal 36" brands have in common and what it means for your strategy
  • Why third-party coverage is now brand infrastructure, not a nice-to-have
  • The 81% vs. 36% stat that should end the SEO vs. GEO debate
  • What senior content strategists can do right now, even if they can't move the org yet

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

GSC Adds Social Platforms, GPT-Live Is Here, and GEO Isn't an SEO Job09 Jul 202600:09:56

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This week's Found in AI covers three updates that, taken together, say the same thing: AI visibility is a cross-channel, cross-functional problem — and it's getting harder to ignore.

In this episode:

Google just launched platform properties in Search Console — a new property type that lets you track how your Instagram, TikTok, X, and YouTube content performs in Google Search and Discover. The SEO story is interesting. The GEO story is more interesting.

OpenAI introduced GPT-Live, a full-duplex voice model that can listen and speak at the same time, with real-time web search running in the background. Voice search has been a talked-about trend for years. This is the version that might actually change behavior — and the implications for what AI cites in a spoken answer are worth thinking through now.

And Search Engine Journal published a piece making the case that the people who drive GEO outcomes in most organizations are brand, PR, and editorial teams — not SEO. It's a take I've been making on this podcast for months. Worth breaking down what it actually means for how content teams get structured.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

What AI Engines Actually Want (And Why Your Blog Posts Aren't It) ft. Bryan McAnulty07 Jul 202600:23:11

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If you've been publishing content and wondering why it's doing nothing for your AI search, this episode is for you.

Bryan McAnulty, founder of Heights Platform and Latchloop, joins Cassie to break down something most brands are missing: the training data already has everything that existed before. Which means the only content worth creating right now is what's new, what's happening in real time, and what real people are actually saying.

That reframe changes everything about how you approach content strategy in 2026.

In this episode:

  • Why most blog content is invisible to AI engines before you even publish it
  • The difference between training data, live web search, and deep research, and why you need a strategy for all three
  • How community content captures the conversational data LLMs can't get from training
  • Why comparison and alternative pages are suddenly worth paying attention to again
  • The trust gap: why 90% of general consumers still don't trust AI-generated answers, and what that means for brands

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

What Google's AI Mode Data Reveals About How People Search Now02 Jul 202600:12:26

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User behavior in AI search has moved, and Google's own data confirms it. This week, Cassie breaks down what that shift actually looks like, why Bing's newest Webmaster Tools features were built to measure exactly this, and what both mean for your visibility strategy.

We also cover Semrush's expanded 2026 AI Visibility Index (126 million prompts — the biggest AI search dataset we've seen), Google's June spam update, and a quick note on Anthropic's Fable 5 and what it signals for the frontier model landscape.

In this episode:

  • Semrush 2026 AI Visibility Index — 126 million prompts analyzed across ChatGPT, Gemini, Google AI Mode, and AI Overviews. What the citation gap between "mentioned" and "cited" means for your brand, and why brands with integrated SEO + AI visibility workflows are outperforming everyone else by 2x.
  • Google June 2026 Spam Update — Rolling out globally as of June 24th. No new policies, but worth flagging in your reporting.
  • Anthropic Fable 5 — Export controls lifted July 1st. Why this matters beyond the headline, and what it tells us about where frontier model governance is headed.
  • Google AI Mode data + Bing Webmaster Tools — The anchor segment. Google released a full year of AI Mode usage data showing the average query is now triple the length of a traditional search query, with follow-up queries growing 40%+ month over month. Then Bing drops four new AI Performance features — Intents, Topics, Citation Share, and Compare — that are essentially built to measure exactly how users are searching now. Here's how to use both together.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Stop Optimizing Keywords for ChatGPT (with Shane Tepper)30 Jun 202600:27:10

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Most brands trying to figure out their AI search visibility start with the same move: take their existing keyword list and ask which ones to "optimize for AI" too. Shane Tepper, co-founder of Resonate Labs, thinks that's backwards — and after this conversation, I do too.

This episode is part interview, part real-time reaction to a stretch of AI search news that hit fast and didn't slow down.

In this episode:

  • Why starting a GEO strategy with keyword data instead of buyer language queries gets the entire approach backwards — and what query generation looks like when you build it around personas, buying stages, pain points, and features instead
  • Google's recently released GEO guidelines, where the framing is defensive rather than informative, and what's missing from "good SEO practices apply to GEO" as a complete strategy
  • Why optimizing for AI search isn't one strategy — it's a stack, because each model (ChatGPT, Gemini, Perplexity, Copilot) weighs credibility, authority, and source preference differently
  • The agentic browsing audit quietly released through Chrome Canary's Lighthouse tool, what it actually checks for (WebMCP protocol, llms.txt), and why Google is sending mixed signals about whether these even matter for search visibility
  • What a 150-query audit actually looks like in practice — and how response data turns into a content strategy, a CMS-routed publishing pipeline, and briefs for earning third-party citations
  • Why third-party sources often shape AI answers without ever being cited — and what that means for brands measuring their own visibility

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

"Good SEO is Good GEO." But Is That True?23 Jun 202600:17:15

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If you've been seeing the phrase "good GEO is good SEO" everywhere on LinkedIn lately, you're not imagining it. It's become the comfort take of the moment — and this week, it got a very official co-sign. Brendon Kraham, Google's VP of Search and Commerce, published a piece on Think with Google making exactly that argument. 

So here we are.

This episode is a rant. A structured, well-reasoned rant — but a rant. Because the "good GEO is good SEO" framing isn't just lazy. It's actively giving brands permission to stop learning at exactly the wrong moment.

In this episode:

  • Why the "good GEO is good SEO" take is part true and mostly incomplete — and why that distinction actually matters for your brand
  • The four ways GEO goes beyond SEO that no amount of foundational optimization covers: content extractability, entity authority, freshness for AI retrieval, and cross-platform presence
  • Why entity SEO and entity authority are not the same thing — and conflating them will leave you invisible outside your own domain
  • What Google's Think with Google article gets right, what it gets wrong, and why its advice is largely limited to Google Search specifically
  • Why brands that use this take as permission to stop paying attention are the ones that will be invisible in ChatGPT, Perplexity, and Gemini while their competitors get cited
  • The one question to ask yourself before you hit publish that tells you whether your content is actually extractable

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Resources:

Google's Good SEO is Good GEO

Case Study: The Displacement of Legacy Authority

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Fable, Bing's New Reporting, and a Study That Should Worry Every B2B Marketer18 Jun 202600:12:51

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The US government just ordered Anthropic to pull Fable 5 and Mythos 5 — for all users, not just foreign nationals. A model available to hundreds of millions of people went dark mid-afternoon on a Tuesday with no advance notice. Not because it stopped working. Because of a government directive citing a potential jailbreak.

That's the story I didn't expect to be covering this week. But it's also the clearest argument yet for why model-specific optimization is a strategy built on sand.

In this episode:

  • What actually happened with Fable 5 and Mythos 5 — and why this matters more as a strategic signal than a product update
  • Why building your AI visibility strategy around any specific model puts you at risk you can't control
  • Bing Webmaster Tools' four new AI reporting features — Intents, Topics, Citation Share, and Compare — and how to actually use them
  • How to map the new Bing reporting to the FSA Framework (Freshness, Structure, Authority) so the data tells you something actionable
  • Why AI visibility still has no click-through data, and what we're measuring instead
  • A new study of 20,000 ChatGPT responses found that 80% of product recommendations change when search is enabled — and why that number should reframe how you think about content freshness

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

SEO and PR Are Finally Married (And AI Search Is Why)16 Jun 202600:13:26

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Brand visibility doesn't mean what it used to. For years, SEO and PR operated in completely separate lanes. One chased rankings, the other chased coverage. AI search collapsed that wall. Now, getting cited in ChatGPT, Perplexity, and Google AI Overviews depends on whether other people are talking about you, not just whether your own pages rank.

Cassie sits down with Basha Coleman, lead program manager on HubSpot's content strategy and operations team and an SEO and AEO consultant with seven years of experience, to talk about what brand visibility actually looks like in an AI-first search environment.

In this episode:

  • Why SEO and PR are finally operating as one function, and what that means for your strategy
  • The most undervalued citation channel most brands are completely ignoring
  • What actually counts as "news" if you're a B2B software company
  • How to measure success when AI answers the question and the click never happens
  • Why top of funnel content matters more than ever, even though you can't track it
  • Whether AEO and GEO are really just brand work, and Basha's "yes, and"

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Schema.org's New Dataset + Claude Fable 5: What You Need to Know11 Jun 202600:12:02

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Two updates this week that marketers need to know about. First, Schema.org, working with Google, released a public Usage Statistics dataset. For the first time, you can see how structured data is actually used across millions of domains, updated monthly, and free on GitHub. Meanwhile, Anthropic launched Claude Fable 5, its most capable generally available model yet. Cassie breaks down what the schema data means for prioritizing your structured-data work, why the "small buckets" matter if you're in a niche, and why smarter engines make the FSA fundamentals — Freshness, Structure, Authority — matter more, not less.

In this episode:

  • What the new Schema.org dataset shows (and how to read it correctly)
  • Three ways to actually use it: prioritize, justify dev hours, mine your niche
  • Why Fable 5's vision and long-context gains change what gets cited
  • The bigger pattern: AI visibility is getting measured in the open

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

57% Bot Traffic, One Year Early. And Google Picked This Week to Say "Check With Us."09 Jun 202600:17:51

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This week on Found in AI, Cassie is going solo today. There are a few things that happened in the last week that make a lot more sense for your AI search visibility strategy together than apart.

On June 3rd, Cloudflare's CEO posted that bot traffic has officially crossed 57% of all web traffic — the first time in internet history that automated systems outnumber humans online. He'd predicted it wouldn't happen until 2027. It arrived more than a year early, driven almost entirely by agentic AI.

Two days later, Google published new guidance asserting itself as the authoritative source on SEO, AEO, and GEO — telling businesses to evaluate all third-party advice against their official documentation.

And in January and April, Microsoft had already published a GEO playbook and a framework for the agentic web... with matching tooling.

Cassie breaks down what each of those moves means, why the timing matters, and where Google's GEO guidance specifically diverges from what independent practitioner testing has shown works.

In This Episode:

  • What the Cloudflare bot traffic crossover actually means for content — and why the five vs. five thousand ratio explains everything
  • Why bot traffic hitting 57% arrived more than a year ahead of the Cloudflare CEO's own prediction
  • Microsoft's "three eras of the web" framework — and why all three are live right now, not sequential
  • Why Microsoft's January GEO guide said "SEO got you here, but it won't get you there" four months before Google weighed in
  • What Google's new guidance actually says — and the specific line in their SEO hiring doc that Cassie takes issue with
  • Where Google's GEO advice breaks down when applied outside of Google's own systems
  • The chunking disagreement: what Google says to avoid, what Cassie's December Perplexity experiment showed, and why the distinction matters
  • Three things you can do this week to optimize for the multi-engine reality

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google Finally Catches Bing on AI Visibility — and Microsoft Confirmed The FSA Framework04 Jun 202600:12:03

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This week, two updates landed that look like product news but are really a maturity moment for AI search. Google launched its long-awaited Generative AI performance reports in Search Console — a dedicated view of how often your pages appear in AI Overviews and AI Mode. And Microsoft announced Web IQ, a grounding system built not for people, but for AI agents. One shows you the scoreboard. The other rebuilt the engine room. Cassie breaks down what each one actually does, where the catch is, and why Web IQ independently confirms everything the FSA framework has been saying.

What we cover:

  • Google's new AI performance reports — and why it's impressions-only (no clicks, CTR, position, or query data)
  • The new opt-out toggle that lets you leave AI features without hurting your rankings, and why the UK is first
  • A callback to Episode 34: Google catches up to Bing roughly four months later
  • Microsoft Web IQ explained for people who'll never touch an API
  • How Web IQ maps cleanly onto Freshness, Structure, and Authority
  • The one action to take this week

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Should You Block AI Bots From Your Website? | AJ Ghergich, Botify [Part 3 of 3]02 Jun 202600:17:47

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Everyone's asking whether to block AI bots from their site. AJ Ghergich thinks that's the wrong question.

When AJ and I recorded this conversation, most companies were still treating AI bot governance as an IT problem — something to handle quietly at the server level. But the bots hitting your site aren't just an infrastructure cost. They're shaping what AI tells the world about your brand. And right now, most companies — including some of the biggest in the world — can't say what data of theirs is being used, whether it's accurate, or whether they have any plan at all.

AJ leads the consulting and AI team at Botify and has these conversations with global brands every week. His take is clear: AI bot governance isn't a "block or allow" switch. It's a set of decisions that requires marketing, IT, and legal to be at the same table. Because the moment your product data, your positioning, or your facts show up wrong in an AI answer, it stops being a technical problem and becomes a brand one.

In this episode:

  • Why AI bot governance falls through the cracks — and the case for why it's a marketing, IT, and legal problem, not any one team's job
  • The three questions every brand should be able to answer about their AI data — and why even some of the world's biggest brands can't
  • Training data vs. live retrieval — the distinction most brands miss, and why retailers need to win at the moment of retrieval, not just "get into ChatGPT"
  • The llms.txt question, settled: why it's an 11th-priority shiny object for 95% of brands — and what Google's new Lighthouse check does and doesn't actually change
  • What a good governance plan looks like versus a bad, binary one — including AJ's idea of "user testing, but for AI agents"
  • How to fix it when AI is telling the wrong story about you — like the cosmetics brand that got falsely labeled as not animal-friendly, and how to hunt down the source
  • Why your old, deprecated brand data — three-CMOs-ago mission statements, retired colors, and positioning — might be quietly confusing AI right now
  • Who actually needs to be at the table — and why "that's IT's problem" is the answer that gets brands in trouble

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Bing's Visual Search Overhaul, Google's "Highly Cited" Badge, and Ask YouTube — What They Mean for AI Visibility28 May 202600:09:48

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Three AI search updates this week — and the one that got the least coverage might matter most for your content strategy.

In this episode:

  • Bing's redesigned image search groups results into AI-labeled categories — and why your alt text and image context just got more important
  • Google's new "Highly Cited" badge makes source authority visible to everyday users — not just AI engines
  • Ask YouTube brings conversational search to video, and why your content now needs to be queryable, not just watchable

The throughline: AI search is shifting from returning results to attributing answers. Being the source is the strategy.

Resources mentioned:

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Google Just Confirmed It. Your Next Customer Might Be an AI Agent. | AJ Ghergich, Botify [Part 2 of 3]26 May 202600:26:39

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Google just announced Information Agents and Universal Cart at I/O. The timing of this episode couldn't be better.

When AJ Ghergich and I recorded this conversation, agentic commerce was still something most marketers were treating as a future problem. After last week's Google I/O announcements, it's a this-quarter problem — at least for brands paying attention.

AJ leads the consulting and AI team at Botify and works with some of the largest retailers in the world. His take is clear: the AI agent doing research on behalf of your buyer isn't a bot to optimize for. It's a customer to serve. And the brands that understand that now are the ones that will be visible when the transaction layer fully arrives.

This is Part 2 of a three-part series. Part 1 covered why your dashboards are lying to you and what bot traffic is actually doing to your analytics. This conversation picks up with what comes next — and what your brand needs to do before agentic commerce goes mainstream.

In this episode:

  • What agentic commerce actually is — and why visibility is the prerequisite that most brands are skipping
  • Why this Black Friday could be the first one where agentic commerce affects your revenue numbers (even if it's only 5%)
  • AJ's reframe: AI is not a technology layer, it's a customer type — and why that changes everything about how you organize your content
  • Attributes vs. intent — why "14-inch wheels" loses to "can this stroller handle the subway and the park" when an agent is making the recommendation
  • How to think about AI agent personas the same way you'd build buyer personas (yes, really)
  • What smaller brands on Shopify should focus on right now versus what large retailers need to be doing with Google's Universal Commerce Protocol
  • Why specificity is the content strategy for agentic commerce — and what that looks like in practice

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

Search Agents, Universal Cart, and the End of Passive Discovery21 May 202600:16:00

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Google I/O was Tuesday. There's a lot to sort through — and most of it isn't the hardware story. It's the search story. This week, Cassie breaks down the I/O announcements that actually matter for visibility strategy, unpacks the llms.txt drama that played out in a LinkedIn comment section yesterday, and covers Perplexity updates that got buried under all of it.

In this episode:

  • Google I/O: the Search box redesign, AI Mode at 1 billion users, Search agents, and Universal Cart
  • Why Search agents change what "being discoverable" actually means
  • Google's GEO guide said stop using llms.txt — then Lily Ray pointed out Google uses it on their own docs. John Mueller's response draws a distinction the guide never made.
  • Why GEO isn't just an SEO conversation — it's the infrastructure that makes agentic commerce work
  • Bing on trust as infrastructure in AI-powered search
  • Perplexity: GPT-5.5 as the new default in Computer, Teams integration, and Personal Computer at $20/month

Google is building toward a world where your website is the backend. This episode is about what that means for your strategy right now.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Why Your Marketing Dashboard Is Lying to You (And What AI Search Has to Do With It) | AJ Ghergich, Botify [Part 1 of 3]19 May 202600:25:22

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Your analytics look broken. Impressions are up. Clicks are down. Conversion rates are off. And your leadership team wants answers.

AJ Ghergich, who leads the consulting and AI team at Botify, says this isn't a performance problem — it's a data model problem. And once you understand what's actually causing it, the numbers start to make a lot more sense.

In Part 1 of this three-part series, AJ breaks down what's happening inside brand dashboards right now, why bot traffic is up 4.5x in 2025, and what the 1:198 impression-to-visit ratio from AI crawlers actually means for how you report performance.

In this episode:

  • Why the impressions-up, clicks-down pattern is showing up across brands right now — and what's driving it
  • The difference between how Google crawls versus how AI engines like ChatGPT crawl your site (the ratio will surprise you)
  • Why AJ says CMOs need to move from a clicks mindset to a visibility mindset — and how to make that case to leadership
  • What JavaScript rendering has to do with AI visibility (and how to check your own site in under five minutes)
  • Why AJ compares this moment in AI search to the early days of social media — and what the smart brands did then that's worth repeating now

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

The GEO Guide Google Just Dropped (And What It Doesn't Tell You)15 May 202600:12:16

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After two-plus years of the GEO conversation happening without them, Google finally showed up.

This week Google Search Central published their first official guide to optimizing for generative AI features in Search — covering AI Overviews, AI Mode, and a list of tactics you can finally stop wasting time on.

In this surprise Friday episode, Cassie walks through the guide in real time: what it gets right, what it confirms about the FSA Framework, and — more importantly — where it quietly leaves the harder questions unanswered.

In this episode:

  • Why RAG and query fan-out change how you should think about content
  • The GEO "hacks" Google officially says don't work (LLMS.txt, content chunking, inauthentic mentions)
  • The ranking-vs-citation gap the guide doesn't explain
  • What AI Mode changes that AI Overviews guidance doesn't cover
  • What to actually prioritize coming out of this

The floor is clearer now. Getting above the floor is still the work.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com


Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

ChatGPT Just Became an Ad Platform + Google Just Killed FAQ Schema14 May 202600:12:47

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Two stories shook AI search this week, and they look completely unrelated. They're not.

OpenAI rolled out a self-serve Ads Manager — the moment ChatGPT officially became a paid placement environment with an organic layer on top. Then, two days later, Google quietly deprecated FAQ rich results, ending one of the most overused SEO tactics of the last five years.

In this episode, Cassie breaks down what actually happened, what the SEO industry is getting wrong about both updates, and why these two stories — together — are sending the same message: the shortcuts are running out, and entity authority is the only durable AI visibility play left.

What you'll learn:

  • Why OpenAI's self-serve Ads Manager is a bigger deal than the headlines suggest — and what the 2030 revenue target signals about the future of organic citation in ChatGPT
  • The category restrictions on ChatGPT Ads right now (and why B2B SaaS isn't in the room yet)
  • Why the "Google killed FAQ schema" headlines are technically true but strategically misleading
  • The one sentence in Google's deprecation notice that completely changes how to read the news
  • The difference between schema markup and rich results — and why marketers have conflated them for years
  • Three specific actions to take on your FAQ schema this week
  • Why the FSA framework (Freshness, Structure, Authority) is a mental model, not

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

The 24-Hour Reddit Citation: Carl Peterson on Mention Tracking, Quora, and Facebook Groups12 May 202600:30:39

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Reddit is everywhere right now — but the rules of how to actually show up there without getting your account nuked? Nobody agrees. In this episode, Cassie sits down with Carl Peterson, co-founder of RankGood.ai, to talk about what's actually working for AI search visibility in community-led platforms — and what's getting brands banned.

Carl spent a decade building an audience of nearly 600,000 people and driving tens of millions in organic sales before partnering with Alex Fries to build RankGood, a mention tracker that shows brands exactly where their audience is, what they're talking about, and how to enter those conversations across Reddit, Quora, Facebook groups, and LLM citations.

In this conversation, Carl and Cassie unpack the right and very wrong ways to do Reddit marketing in 2026, why on-page SEO still matters (even if everyone is panicking about it), and the under-the-radar platform most marketers are sleeping on right now.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

Wondering what AI search means for your business?

Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies.

Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership.

www.cassieclarkmarketing.com

ChatGPT Got Smarter, Google Wants Agent-Ready Sites, and AI Citations Just Got Personal07 May 202600:14:33

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This week, three updates from Google and OpenAI quietly told us the same thing: the web isn't just for humans anymore.

Cassie breaks down what marketers and founders need to know about:

  • Google's new web.dev guidance telling developers to build websites for AI agents (and why it matters even if you're not a developer)
  • OpenAI rolling out GPT-5.5 Instant as the new default ChatGPT model, with 52% fewer hallucinations and deeper personal context
  • Google's five updates to AI Overviews and AI Mode that make personal authority and creator names more visible inside AI-generated answers

If you've been wondering whether AI search optimization is just SEO with a different name, this episode is the answer. The playbook hasn't changed. What's changed is who's reading the page.

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

SEO Agencies Have 2 Years Left05 May 202600:23:34

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If your SEO agency is still selling you the same playbook they sold you in 2022, this episode is going to be uncomfortable. And it should be.

Cassie sits down with Gilad Bechar, CEO and Founder of Moburst — a 13-year-old growth agency working with Google, Reddit, Uber, and Samsung — to talk about why traditional SEO no longer moves the needle in AI search, and what brands need to be doing instead.

They get into why ChatGPT being trained on Bing changes your entire infrastructure strategy, how each AI engine (ChatGPT, Gemini, Claude, Perplexity, Grok) ranks content differently, the right way to think about Reddit as a long-term visibility play, and the mental model shift that separates the brands earning AI citations from the ones still treating AEO like SEO with a different name.

Gilad's prediction: a lot of SEO-only agencies won't make it to 2028. Here's why he's probably right.

Key Topics Covered

  • Why SEO points and AI search points are not the same currency
  • How ChatGPT, Gemini, Claude, Perplexity, and Grok each rank content differently — and why you need to reverse-engineer each one
  • The Bing infrastructure problem: why ChatGPT visibility starts with Microsoft, not Google
  • Why claiming your business in the Microsoft ecosystem matters as much as Google Business Profile
  • How to match the AI engine to your audience (developers vs. older generation vs. tech-savvy)
  • The Reddit recency rule: why you should target threads from the last 7–12 months, not 5 years ago
  • Why a one-person marketing team can't realistically execute full AI search visibility
  • The holistic strategy: PR, podcasting, LinkedIn thought leadership, video, Wikipedia, and digital PR working together
  • Gilad's prediction on SEO agencies and the next two years

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com. 

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET.

Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A.

Register for free: https://cassieclarkmarketing.com/ai-search-training/

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