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. 3d ago

    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

  2. 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

  3. 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

  4. Aug 6

    Microsoft Clarity's AI Visibility Metrics and Google's Reddit Denial

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 measureWhy "share of authority" being platform-defined mattersThe question to ask your team this week about ClarityHow to treat Microsoft's conversion stats before you put them in a deckWhat Clarity shows you — and the layer it doesn'tWhy a newsletter with a public archive is a retrieval surface, not just a listThe gap in Google's Reddit denialThird-party mention concentration and why it's a riskResources: 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

  5. Aug 4

    How Approval Layers Slow Down AI Search Visibility — with Rose Ann Mullet

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 movesThe "if we get the SEO right, AI will follow" argument, and why Rose and her SEO manager both knew betterA 50% lift in ChatGPT-referred traffic after restructuring one section of a corporate site — and why they never got to properly test itWhy regional and local offices describing the brand differently is an entity problem, not a brand-consistency nitpickFreshness as a retrieval signal, and why your approval chain sets a ceiling on itHow Rose applied Freshness, Structure, and Authority to a solo attorney's personal brand, LinkedIn, and dormant blogGetting that attorney recommended by AI within 30 days — including the competitive-set caveat that makes the result honestWatching AI characterize a client using language from content Rose ghostwrote for himWhy competitor analysis is now a weekly exercise instead of an annual oneWhere local PR fits into a visibility strategy for service businessesI'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. Jul 30

    AI Overviews Hit 43%, Search Console Adds Social, and the AI Correction Gap

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe 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 updateSearch 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 cardWhy 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 questionsThe correction gap: why old news resurfacing inside AI summaries is an entity accuracy problem, and why suppression is the wrong fixI'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

  7. Jul 28

    Is Your AI Visibility Problem Actually a Messaging Problem?

    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 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 noticingThe hub-and-spoke model: product marketing as the source of messaging for PR, demand, partner, and salesCorroboration as a trust signal, and why consistency across surfaces beats volumeWhy big companies quietly solved this decades ago, and what small brands can borrowThe digital footprint gap, and why challenger brands compete against a mountain of existing contentHow LLMs decompose a query, fan it out, and let retrieved chunks compete on completeness and semantic alignmentWhy efficiency is a retrieval criterion most people ignoreThe hiring problem: why "AI search optimization" job descriptions are mostly technical SEOWhat happens when your predecessor's positioning is still live across the internetI'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

  8. Jul 23

    Google's Earnings, the Publisher Revolt, and What It All Means for AI Visibility

    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 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: Alphabet Q2 2026 earnings Tech Brew interview with Liz ReidOpenAI + Hugging Face security incident disclosureClaude "Record a Skill" announcementI'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

See All (87)

Ratings & Reviews

5
out of 5
5 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.

Information

You Might Also Like