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

Cassie Clark
  • 5.0 (4)
  • Marketing

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.

  1. 1d ago

    GSC Adds Social Platforms, GPT-Live Is Here, and GEO Isn't an SEO Job

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

    10 min

  2. 3d ago

    What AI Engines Actually Want (And Why Your Blog Posts Aren't It) ft. Bryan McAnulty

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 itThe difference between training data, live web search, and deep research, and why you need a strategy for all threeHow community content captures the conversational data LLMs can't get from trainingWhy comparison and alternative pages are suddenly worth paying attention to againThe trust gap: why 90% of general consumers still don't trust AI-generated answers, and what that means for brandsIf 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

    24 min

  3. Jul 2

    What Google's AI Mode Data Reveals About How People Search Now

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

    13 min

  4. Jun 30

    Stop Optimizing Keywords for ChatGPT (with Shane Tepper)

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 insteadGoogle'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 strategyWhy 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 differentlyThe 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 visibilityWhat 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 citationsWhy third-party sources often shape AI answers without ever being cited — and what that means for brands measuring their own visibilityIf 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

    28 min

  5. Jun 23

    "Good SEO is Good GEO." But Is That True?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 brandThe four ways GEO goes beyond SEO that no amount of foundational optimization covers: content extractability, entity authority, freshness for AI retrieval, and cross-platform presenceWhy entity SEO and entity authority are not the same thing — and conflating them will leave you invisible outside your own domainWhat Google's Think with Google article gets right, what it gets wrong, and why its advice is largely limited to Google Search specificallyWhy 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 citedThe one question to ask yourself before you hit publish that tells you whether your content is actually extractableIf 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

    18 min

  6. Jun 18

    Fable, Bing's New Reporting, and a Study That Should Worry Every B2B Marketer

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 updateWhy building your AI visibility strategy around any specific model puts you at risk you can't controlBing Webmaster Tools' four new AI reporting features — Intents, Topics, Citation Share, and Compare — and how to actually use themHow to map the new Bing reporting to the FSA Framework (Freshness, Structure, Authority) so the data tells you something actionableWhy AI visibility still has no click-through data, and what we're measuring insteadA 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 freshnessIf 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

    13 min

  7. Jun 16

    SEO and PR Are Finally Married (And AI Search Is Why)

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 strategyThe most undervalued citation channel most brands are completely ignoringWhat actually counts as "news" if you're a B2B software companyHow to measure success when AI answers the question and the click never happensWhy top of funnel content matters more than ever, even though you can't track itWhether 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

    14 min

  8. Jun 11

    Schema.org's New Dataset + Claude Fable 5: What You Need to Know

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe 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 nicheWhy Fable 5's vision and long-context gains change what gets citedThe bigger pattern: AI visibility is getting measured in the openIf 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

    13 min
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Ratings & Reviews

5
out of 5
4 Ratings

About

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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