Found in AI: AI Search Visibility, SEO, & GEO – Details, episodes & analysis

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Found in AI: AI Search Visibility, SEO, & GEO

Cassie Clark

Business

Technology

Business

Frequency: 1 episode/4d. Total Eps: 86

Found in AI is a podcast for marketers, founders, and content strategists who want to understand—and win—AI search visibility in the new era of search.

Hosted by Cassie Clark, fractional content strategist and AI search visibility consultant for startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google’s AI-powered search experiences discover, select, and surface content.

Each episode breaks down real-world experiments, SEO, GEO / AEO, and content marketing strategies designed to help brands get found in AI-generated answers, not just traditional search results.

You’ll learn how to:

-Optimize content for AI-driven search and answer engines

-Blend traditional SEO with AI search optimization

-Build entity authority across search, social, and AI platforms

-Drive traffic, leads, and trust as search behavior continues to evolve

If you’re trying to future-proof your content strategy and understand how AI is reshaping discovery, Found in AI gives you the frameworks, insights, and tactics to stay visible—wherever search happens next.

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#52
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#56
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#68

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https://cassieclarkmarketing.com/ai-search-visibility-audit/
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https://cassieclarkmarketing.beehiiv.com/
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https://cassieclarkmarketing.com/
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https://www.linkedin.com/in/cassie-wilson-clark/
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https://www.linkedin.com/in/davidkirkdorffer/
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Score global : 58%

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Is YouTube the Missing Piece in Your AI Search Strategy?

Episode 37

Tuesday, February 24, 2026 • Duration 19:21

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In this episode of Found in AI, Cassie explores a real-time experiment in AI search visibility.

Today’s guest, Zechariah Tokar, shares how he’s been using simple YouTube videos—created with Google’s NotebookLM—to influence local search results. And, it’s working. But it also raises bigger questions about what AI systems are rewarding right now—and what that means for brands.

In this episode, you’ll learn:

Why YouTube may be overweighted in local and AI-driven search
How short, low-production videos can create entity signals
Where NotebookLM fits into rapid video testing
Why middle-of-funnel questions may outperform “best of” keywords
How to treat YouTube as an experiment—not a long-term shortcut

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

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What Does Claude Sonnet 4.6 Actually Change for AI Search Strategy?

Episode 36

Thursday, February 19, 2026 • Duration 11:51

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In this episode of Found in AI, Cassie breaks down Anthropic’s release of Claude Sonnet 4.6—and why this isn’t just another model upgrade.

While most coverage focuses on coding benchmarks and token limits, this episode looks at what actually matters for marketers and strategists: how stronger reasoning, larger context windows, and improved stability change the way you should plan your AI search optimization strategy.

Rather than treating Claude as a drafting assistant, Cassie explores how Sonnet 4.6 makes it viable to use AI as a unified intelligence layer—analyzing sales calls, support tickets, churn data, and existing content to surface the insights that truly drive AI visibility.

In this episode, you’ll learn:

What a 1M token context window actually means (and what it doesn’t)
Why larger context doesn’t equal “bigger search”—but does mean deeper reasoning
How improved model stability changes what’s practical in content analysis
Why Claude has quietly become the default content partner for many B2B teams
How to use unified customer data to inform AI search optimization strategy
Why internal data quality directly impacts external AI visibility
How recurring objections, language patterns, and positioning gaps shape inclusion in AI-generated answers
Why search is moving from retrieval to synthesis to execution
What structured clarity and consistent terminology signal to AI systems
How to think about AI as a strategic reasoning layer—not just a writing tool

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

What Is Digital PR and How Does It Build Authority in AI Search?

Episode 27

Tuesday, January 20, 2026 • Duration 22:46

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Why does digital PR matter more now than it did five years ago? Because modern PR isn’t about press releases or volume—it’s about authority, credibility, and human expertise, which are the exact signals AI systems rely on when deciding what to surface, cite, and recommend in generated answers.

In this episode of Found in AI, Cassie is joined by Kelly Jura, Head of Product and User Experience at QWOTED, to break down what digital PR actually looks like in 2026 and how earned media plays a critical role in AI search visibility.

Rather than treating PR as a one-off tactic, this episode explores how earned media compounds—building trust signals that benefit search, AI answers, and long-term brand visibility.

In this episode, you’ll learn:

What “digital PR” really means today—and how it’s changed
Why authority, trust, and consistency matter more than backlinks alone
How journalists actually decide who to quote (and who to ignore)
Whether you need a PR agency—or can do this yourself
What makes a source credible enough for earned media mentions
Why fully built profiles matter for matching and visibility
The biggest mistakes founders and brands make when pitching journalists
How AI systems mirror journalistic trust signals
Why being quotable is more important than being available
How earned media influences AI citations and recommendations
Why promoting your mentions matters just as much as earning them
How digital PR compounds over time, even when pitches don’t convert immediately

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

Why Are Discovery and Checkout Moving Inside AI Search?

Episode 26

Thursday, January 15, 2026 • Duration 08:58

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Are AI assistants starting to replace websites for discovery and shopping? In many cases, yes. And the shift is already underway.

In this episode of Found in AI, Cassie breaks down two platform moves that reveal where AI-powered search is headed: Apple’s integration of Gemini-powered capabilities into Siri and Apple Intelligence, and Google’s rollout of checkout directly inside AI-driven experiences. Together, these changes show how discovery, evaluation, and purchase are increasingly happening inside AI interfaces instead of on traditional websites.

The episode explains how AI systems like Siri, Gemini, and other generative assistants decide what to surface, which brands to trust, and when users should move from question to purchase, often without a click.

In this episode, you’ll learn:

What Apple’s partnership with Google means for Siri and AI-driven discovery
Why conversational and spoken AI changes how content must be structured
How Google’s AI checkout affects attribution, funnels, and conversion tracking
Why discovery, evaluation, and purchase are moving inside AI systems
What brands should prioritize to stay visible, trusted, and chosen in AI-driven journeys

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

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

If No One Clicks Anymore, What Is a Website For?

Episode 25

Tuesday, January 13, 2026 • Duration 21:01

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In today’s episode of Found in AI, I sit down with Karl-Gustav Kallasmaa, founder of Attensira, to unpack a question more marketers are quietly running into this year:

If AI is now the primary interface for search, what role does the website actually play?

We explore what Karl calls the death of the webpage. We cover:

Why websites are becoming a reference layer, not the primary destination
What information AI systems actually need from brands (and what they ignore)
Why clarity is starting to matter more than clever branding
How writing for machines and humans requires different tradeoffs
What “machine-readable” really means for B2B and e-commerce brands
Why content volume still matters, but only when it answers real questions
How outdated or vague information forces AI systems to guess (and why that’s risky)

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

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

Let’s connect:

LinkedIn → Website →

Why Is Reddit Replacing TikTok as a Search Tool for Gen Z?

Episode 24

Thursday, January 8, 2026 • Duration 05:47

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Why is Reddit overtaking TikTok as a preferred search tool for Gen Z? Because when people are trying to make decisions—not just get inspired—they prioritize context, trust, and lived experience.

In this episode of Found in AI, Cassie breaks down recent reporting from The Guardian showing that Reddit has surpassed TikTok as a search destination for Gen Z users in the UK. While it might look like a social media trend on the surface, the shift reveals something deeper about how search behavior is changing—and why those changes closely mirror how AI search systems evaluate and reuse content.

The episode explains why Reddit’s structure, long-form discussions, and experience-based answers outperform entertainment-driven platforms when users are trying to decide what to do, buy, or believe. Those same characteristics also make Reddit content easier for AI systems to surface and cite in generated answers.

In this episode, you’ll learn:

Why Reddit is becoming a default search tool for Gen Z
The difference between inspiration-driven discovery and decision-driven search
What Reddit’s rise reveals about trust, context, and explainability
How AI search systems evaluate and reuse content from community platforms
What this shift means for brand visibility beyond traditional SEO

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

Or request your 7-Day AI Search Visibility Audit:

How Should You Plan Your Q1 Content Strategy for AI Search in 2026?

Episode 23

Tuesday, January 6, 2026 • Duration 11:07

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In today’s episode of Found in AI, I break down how to think about planning your Q1 content strategy as AI search rapidly reshapes how visibility actually works.

If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode will help you zoom out. AI systems don’t evaluate content the way traditional search engines do — and that has real implications for how brands should approach content, social, and authority moving forward.

This isn’t a tactics-heavy episode. It’s about how to think so you can plan with clarity instead of guesswork.

We cover:

How AI search actually evaluates and assembles answers
Why planning content and social separately weakens AI visibility
How to think about Q1 planning using the FSA framework (Freshness, Structure, Authority)
Why AI visibility is about patterns and reinforcement — not one “perfect” post
Where SEO still plays a critical role — and where it stops being sufficient
Why auditing existing content should come before ideation
How AI share of voice reveals hidden strengths and real gaps

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

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

What Does Google Search Console’s New Beta Reveal About AI Visibility?

Episode 22

Thursday, January 1, 2026 • Duration 09:34

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Get the weekly 3-2-1 on AI search + marketing: Subscribe

What does Google Search Console’s new beta reveal about AI visibility? That discovery and authority are no longer defined solely by websites—and Google is beginning to measure visibility the way AI systems already do.

In this episode of Found in AI, Cassie breaks down a quiet beta test in Google Search Console that surfaces social channels alongside traditional web metrics. While it may look like a minor reporting update, the change signals a broader shift in how Google defines discovery, influence, and authority in an AI-driven search landscape.

The episode explains why brands can now appear in AI-generated answers without ranking traditionally and why ranking alone is no longer a reliable indicator of visibility. It also connects Google’s evolving measurement approach to how AI answer engines already evaluate content across websites, social platforms, and creators.

In this episode, you’ll learn:

What the new Google Search Console beta reveals about how search visibility is evolving
Why surfacing social channels in Search Console is more than a feature update
How this change aligns Google’s metrics with how AI answer engines work
Why brands can appear in AI answers without traditional rankings — and vice versa
How AI systems evaluate influence across websites, social platforms, and creators
How this update maps directly to the FSA framework (Freshness, Structure, Authority)
What marketers should take from this shift as they plan content and visibility strategies for 2026

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

How Is AI Search Changing What Actually Works in SEO?

Episode 21

Tuesday, December 30, 2025 • Duration 31:40

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What SEO still works in AI search, and what no longer does? The answer has less to do with rankings and far more to do with trust, authority, and how brands show up across the web.

In this episode of Found in AI, Cassie sits down with Pat Reinhart of Conductor to unpack why AI-driven search isn’t just changing SEO—it’s exposing which strategies were never built to last in the first place. The conversation breaks down why “ranking in ChatGPT” isn’t a real concept, how large language models evaluate visibility, and why share of voice is becoming more important than traditional keyword positions.

The episode also explores how AI systems assess brand authority through mentions, citations, sentiment, and reputation—and why attempts to game the system are increasingly ineffective.

In this episode, you’ll learn:

Why AI search is not simply SEO in disguise and where the fundamentals diverge
What SEO practices still support visibility in AI-driven search
Why share of voice matters more than rankings in LLM-based systems
How brand mentions, citations, and sentiment influence AI visibility
Why reputation and consistency outperform manipulation in AI search
How to think about ChatGPT, Gemini, and other models without chasing every engine
What signals help brands earn trust inside AI-generated answers

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

Or request your 7-Day AI Search Visibility Audit:

Does Domain Authority Still Matter in AI Search? (A 96-Hour Case Study)

Episode 20

Tuesday, December 23, 2025 • Duration 16:56

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Why isn’t domain authority enough in AI search? Because authority in AI-powered systems is continuously reassessed based on freshness, structure, and how closely content matches user intent in the moment.

In this episode of Found in AI, Cassie walks through a real-world case study where a single content update—optimized specifically for AI search—displaced legacy SEO publishers in under 96 hours across systems like Google Gemini and Perplexity.

The episode breaks down how AI search engines evaluate sources differently from traditional search, why domain authority is no longer a permanent advantage, and how visibility shifts when AI systems identify a clearer, more reusable primary source.

In this episode, you’ll learn:

Why domain authority alone is no longer a reliable safety net in AI-generated answers
How one content update led to a 96-hour shift in AI Share of Voice
What AI Share of Voice (AI SoV) measures and why it behaves differently from keyword rankings
How AI search creates a winner-take-most dynamic around a primary source
Why legacy publishers weren’t penalized — they were simply outcompeted
How the FSA framework (Freshness, Structure, Authority) aligns with how LLMs evaluate content
Why SEO still matters, but must be paired with structure AI systems can interpret
What this case study signals for Series A, Series B, and enterprise teams heading into 2026

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

Found in AI: AI Search Visibility, SEO, & GEO – Details, episodes & analysis

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Found in AI: AI Search Visibility, SEO, & GEO – Details, episodes & analysis

Podcast details

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