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

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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 working in local SEO or testing AI visibility strategies, this episode offers a candid look at what’s happening right now in the wild.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

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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 building AI visibility and wondering how model advancements affect your actual strategy—not just your drafting workflow—this episode will help you recalibrate your approach.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slotsto help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Love the podcast? You’ll love the newsletter.
 Get the weekly 3-2-1 on AI search + marketing: Subscribe

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 trying to understand how PR fits into a modern AI visibility strategy—and how to build authority without press releases, spammy outreach, or a massive brand name—this episode offers a clear, practical starting point.

ChatGPT ads explained: I posted a short video breaking down what they change—and what they don’t. Watch here. 

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Love the podcast? You’ll love the newsletter.
 Get the weekly 3-2-1 on AI search + marketing: Subscribe

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 a marketer, content strategist, or founder trying to understand how AI assistants are reshaping search and commerce, this episode breaks down what’s changing—and what to do next.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Do you like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

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 thinking about AI search, GEO, or how your brand shows up when fewer people are clicking through to websites, this episode will help you rethink what your site is for — and what it needs to communicate more explicitly going forward.

📌 Mentioned in this episode:

• The “death of the webpage” and how its role is evolving
• Writing content for AI systems without abandoning human trust
• Clarity vs. branding in AI-driven discovery
• Content freshness, usefulness, and avoiding low-value “slop”
• How systems like ChatGPT, Gemini, and Perplexity evaluate information
• Why clearer signals beat more pages in AI search visibility

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Love the podcast? You’ll love the newsletter.
 Get the weekly 3-2-1 on AI search + marketing: Subscribe

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 a marketer, content strategist, or brand leader trying to understand why “good content” doesn’t always translate into AI visibility, this episode connects human behavior, AI systems, and the future of search.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Do you like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

How should teams plan their Q1 content strategy for AI search in 2026? By shifting focus away from publishing volume and toward how AI systems evaluate, connect, and reuse content over time.

In this episode of Found in AI, Cassie breaks down how AI-driven search is changing what “good planning” actually looks like. If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode explains why that approach falls short and how to plan with clarity rather than guesswork.

Rather than focusing on tactics, the episode outlines a strategic framework for planning content, social, and authority together, based on how AI systems assemble answers and assess trust.

In this episode, you’ll learn:

• How AI search systems evaluate and assemble answers differently from traditional search
• Why separating content and social planning weakens AI visibility
• How to plan Q1 content using the FSA framework (Freshness, Structure, Authority)
• Why AI visibility depends on 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 new ideation
• How AI share of voice reveals hidden strengths and real gaps

If you’re planning Q1 right now and trying to account for AI-driven search behavior, this episode will help you plan more intentionally without starting from scratch.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing

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📬 Love the podcast? You’ll love the newsletter.
 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 trying to understand how AI visibility is being measured—and why traditional SEO metrics no longer tell the full story—this episode breaks down what’s changing and how to respond.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Send us Fan Mail

📬 Do you like this podcast? You’ll love the newsletter.
Join the weekly 3-2-1 on AI search + marketing: subscribe

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 questioning old SEO playbooks, noticing traffic patterns shift, or trying to build a durable strategy for 2026, this episode helps separate what still works from what AI is actively devaluing.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing, Conductor

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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 relying on domain authority as a long-term moat, this episode shows why AI search changes the rules — and what to do about it.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

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