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

Cassie Clark
  • 5.0 (5)
  • 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. 2d ago

    ChatGPT’s Search Index, llms.txt Confusion & the Rise of AI Shopping

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 indexWhy ranking in Bing isn’t a proxy for ChatGPT visibilityHow freshness appears within ChatGPT’s retrieval infrastructureOpenAI’s experiments with its own shopping indexWhat Common Crawl learned from 584,107 llms.txt filesThe difference between llms.txt and robots.txtWhy llms.txt does not control AI crawler accessMicrosoft’s recommendations for preparing for agentic commerceWhy structured product data matters when AI agents are shoppingThe difference between AI visibility and agent readinessWhy businesses should prepare for AI discovery even while the technology continues to changeSources Peec AI: “ChatGPT Built Its Own Search Index”Search Engine Journal: “Common Crawl Finds Widespread Confusion Around llms.txt & robots.txt”Microsoft Advertising: “How Businesses Win When AI Does the Shopping”-- 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/

  2. Sep 3

    Google Is Moving From AI Search to AI Agents

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 chatbotHow AI Mode is expanding from travel research into hotel bookingWhat Google's home decor features tell us about the changing buying journeyWhy AI search visibility is still critical, but may actually be the beginning of the journeyThe difference between being recommended by an AI engine and being ready for an AI agent to take actionWhy agentic commerce will require more than content and SEO teams alonePlus, 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/

  3. Aug 31

    Is Your Best Content Invisible to AI Search?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 divergeWhy creating more content isn't necessarily the answer when valuable information is already buried inside your existing assetsHow Informatica is testing a hybrid gating strategy that makes the main ideas from PDFs accessible without completely abandoning lead captureWhat Daniel's team has seen so far from turning gated information into accessible, answer-first contentWhy strong point-of-view content can give AI engines something distinct to associate with your brandWhat "chunking" actually means — and why it doesn't mean chopping every article into tiny piecesWhy Daniel is experimenting with moving key takeaways from the bottom of articles to the topHow outdated website content can continue shaping what AI engines believe about your company, even when those pages aren't driving meaningful search trafficThe old Informatica product page that was reinforcing an outdated brand perception — and what happened after Daniel's team rewrote itWhy monitoring how AI engines characterize your brand can uncover a much bigger positioning or business problemWhat Daniel has learned about getting enterprise stakeholders and senior leadership on board with AI search initiativesI'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/

  4. Aug 27

    Google AI Mode Gets More Links + Yahoo Scout’s AI Search Push

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 authorityWhy Google's new AI Mode link carousels matter for marketers and publishersWhat John Mueller's latest comments actually mean for GEO and AI search optimizationWhy Yahoo Scout is worth watching as AI search continues to fragmentWhat marketers should learn from Yahoo's broader push for users and relevanceA quick update on Google's August 2026 spam updateWhy brands need to become sources that both people and AI systems want to findMentioned 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/

  5. Aug 25

    Does YouTube Help You Show Up in AI Search?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 searchWhy Ryan has "never been more bullish" on YouTube as an AI search marketerHow YouTube can become the foundation for blog posts, newsletters, short-form video, and other contentWhere to start if your brand wants to build a YouTube presence, from defining your ICP to finding the topics they're actually searching forWhy Ryan recommends at least one long-form YouTube video a week — and why he favors evergreen content over constantly chasing trendsThe relationship between traditional SEO and AI search optimization, and why Ryan pushes back hard on claims that SEO is deadWhere llms.txt fits into Ryan's strategy — and why he considers it a small piece of a much bigger visibility puzzleWhy podcast appearances, media coverage, speaking, video, and other off-site signals can help establish what a person or brand is known forWhy starting your own podcast or another form of long-form content can create a foundation for visibility across multiple platformsI'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/

  6. Aug 20

    Reddit's ChatGPT Citations Just Dropped 86% + What It Means for AI Search Visibility

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 graduallyWhat the Reddit-Google licensing tension might (or might not) have to do with itWhy volatility before an update announcement usually isn't that updateWhat Google Trends' new regional Explore Maps add for content researchI'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

  7. Aug 13

    Microsoft Clarity's New AI Citation Filter, LinkedIn's B2B Guide, and Claude Has a New Watermark

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 youHow to use Share of Authority data now that you can filter by query typeWhy LinkedIn articles and posts do different jobs in AI searchThe org alignment problem LinkedIn's own guide surfacesWhat Profound's citation timing data means for how you evaluate new contentWhat Gemini's milestone signals about where AI search is headedWhat Shopify's Q2 data says about buyer behavior in research-heavy categoriesWhat we actually know about Claude's watermarks — and what's still noiseI'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

  8. Aug 11

    Start Here: The 5-Step AI Search Visibility Strategy from 80+ Episodes

    Send us Fan Mail 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 problemThe five-step strategy: Describe → Structure → Refresh → Corroborate → MeasureHow the FSA Framework (Freshness, Structure, Authority) fits into a broader visibility strategyWhy fixing your brand description across surfaces is step one — before you touch your contentThe weekly assignment you can do in an afternoon to find your actual roadmapEpisodes mentioned: Step 1 — Description Is Your AI Visibility Problem Actually a Messaging Problem? — with David KirkdofferHow Does Local SEO Translate to AI Search Visibility? — with Tommy LandryStep 2 — Structure (FSA) How Do AI Engines Decide What to Cite? The FSA Framework ExplainedStop Optimizing Keywords for ChatGPT — with Shane TepperWhat AI Engines Actually Want (And Why Your Blog Posts Aren't It) — with Bryan McAnultyStep 3 — Freshness (FSA) How Approval Layers Slow Down AI Search Visibility — with Rose Ann MulletWhy Aren't AI Engines Citing Your Content? (Hint: You're Missing Knowledge Graph Enrichment) — with Paul RoweStep 4 — Authority (FSA) What Does It Take To Actually Get Cited in AI Search? — with Jonathan BentzThe 24-Hour Reddit Citation — with Carl PetersonSEO and PR Are Finally Married (And AI Search Is Why) — with Basha ColemanStep 5 — Measurement What Do Bing's AI Performance and ChatGPT Ads Mean for Search?What is an AI Visibility Audit? (And Do You Need One?)AI Competitive Intelligence: How to Track What's Citing Your Competitors — with Vlad PivnevIf you're new here: New to AI search: What's the Difference Between SEO, AEO, and GEO?How Do AI Engines Decide What to Cite? The FSA Framework ExplainedShould You Skip SEO and Go Straight to AI Search? [2026 UPDATE]Trying to measure it: What is an AI Visibility Audit?How Should Brands Measure Visibility in AI Search?What Do Bing's AI Performance and ChatGPT Ads Mean for Search?Selling this internally: Is Your AI Visibility Problem Actually a Messaging Problem? — with David KirkdofferHow Approval Layers Slow Down AI Search Visibility — with Rose Ann MulletYou Can't SEO Your Way Into AI Search VisibilityWant the arguments: SEO Agencies Have 2 Years Left — with Gilad Pichar"Good SEO is Good GEO." But Is That True?AJ Ghergich / Botify three-part series (Parts 1–3)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

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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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