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 optimization expert 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

    SEO Agencies Have 2 Years Left

    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 your SEO agency is still selling you the same playbook they sold you in 2022, this episode is going to be uncomfortable. And it should be. Cassie sits down with Gilad Bechar, CEO and Founder of Moburst — a 13-year-old growth agency working with Google, Reddit, Uber, and Samsung — to talk about why traditional SEO no longer moves the needle in AI search, and what brands need to be doing instead. They get into why ChatGPT being trained on Bing changes your entire infrastructure strategy, how each AI engine (ChatGPT, Gemini, Claude, Perplexity, Grok) ranks content differently, the right way to think about Reddit as a long-term visibility play, and the mental model shift that separates the brands earning AI citations from the ones still treating AEO like SEO with a different name. Gilad's prediction: a lot of SEO-only agencies won't make it to 2028. Here's why he's probably right. Key Topics Covered Why SEO points and AI search points are not the same currencyHow ChatGPT, Gemini, Claude, Perplexity, and Grok each rank content differently — and why you need to reverse-engineer each oneThe Bing infrastructure problem: why ChatGPT visibility starts with Microsoft, not GoogleWhy claiming your business in the Microsoft ecosystem matters as much as Google Business ProfileHow to match the AI engine to your audience (developers vs. older generation vs. tech-savvy)The Reddit recency rule: why you should target threads from the last 7–12 months, not 5 years agoWhy a one-person marketing team can't realistically execute full AI search visibilityThe holistic strategy: PR, podcasting, LinkedIn thought leadership, video, Wikipedia, and digital PR working togetherGilad's prediction on SEO agencies and the next two yearsLet’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/ 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 optimization expert 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.

    24 min

  2. 6D AGO

    Google Bets Big on Agents, Bing Bets Big on AI Reporting

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe Google held Cloud Next '26 in Vegas this week and barely mentioned AI Overviews. They spent three days on agents instead — and that tells you everything about where the next phase of AI search is heading. Meanwhile, at SEO Week in New York, Microsoft Bing previewed the next chapter of their AI Performance dashboard, and it's further ahead than what Google currently gives us inside Search Console. In this episode, Cassie breaks down:  What Cloud Next means for AI search visibility (hint: it's bigger than ChatGPT and Perplexity now)What Bing's new Citation Share, Grounding Query Intent, and GEO Recommendations mean for marketersWhy now — not Q4 — is the moment to optimize for agentic commerce.Plus quick hits on Google's back-button hijacking penalty, DeepSeek V4, and the agentic commerce trend line connecting Microsoft and OpenAI. If you want help finding out where your brand currently shows up in AI engines, head to cassieclarkmarketing.com to start an AI search visibility audit. Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    16 min

  3. APR 28

    What Happens When AI Gets Your Brand Wrong?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe What if the AI answer about your brand is wrong? Not just incomplete or outdated—actually, factually wrong? That's the question Cassie and Franklin Rios, CEO of NextNet, dig into in this episode. NextNet has been in the organic search game for 20 years, and Franklin has watched the industry shift through every major Google update. Now he's tackling the next paradigm: how AI engines decide which sources to trust, which brands to cite, and what happens when bad actors flood the system with low-quality content designed to hijack the answer. Spoiler: it's already happening. Franklin shares a real story about a consumer who asked an LLM for the American Express customer service number, got served a fraudulent number, and had their personal information stolen. It's not a one-off. It's a glimpse into the brand safety risk almost no marketing team is auditing for yet. In this conversation, Cassie and Franklin cover: Why AI accuracy is now a brand safety issue (and the audit nobody's running yet)How LLMs actually decide who to trust as a sourceWhat "vectorization" means in plain English—and why content teams should care even if they're never going to touch a vector databaseWhy citation is the name of the game in AI search, and how that maps directly to the FSA FrameworkThe real economics of ChatGPT ads—$200K minimum spends, $60 CPMs, and whether it's actually worth itWhy becoming the answer organically is the long game that compoundsWhether you're a content lead at a B2B SaaS company, a CMO trying to figure out where to put your AI search budget, or a founder wondering if your brand is even visible inside ChatGPT, this episode gives you a sharper way to think about what visibility actually means in 2026. Resources: What is the FSA Framework? Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    27 min

  4. APR 23

    Why 93% Zero-Click Isn't a Bug (It's the Product)

    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 on Found in AI, Cassie Clark breaks down the three AI search stories shaping 2026 strategy right now, and why the one that looks like a small UX tweak is actually the biggest. On April 16, Google rolled out a Chrome update for AI Mode that opens clicked links side-by-side with the AI conversation instead of in a new tab. The AI Mode panel now becomes a permanent layer in the browsing experience, and new data shows 93% of AI Mode searches end without a click to any external site. A SE Ranking study covered by WIRED found that the most-linked domain inside AI Mode answers is Google.com itself. Meanwhile, Statcounter's March 2026 data dropped in early April — Google Gemini overtook Perplexity to become the #2 source of AI chatbot referral traffic worldwide, Claude nearly tripled month-over-month, and ChatGPT dipped below 80% for the first time. The AI referral market is fragmenting, and single-platform visibility strategies are now a liability. OpenAI also shipped gpt-image-2 on April 21 — its first image model with reasoning built in — and the implications for multimodal retrieval matter more than they look. In this episode: Why Google's split-screen AI Mode is an enclosure strategy, not a UX upgradeWhat the 93% zero-click rate actually tells you about product designThe Statcounter data showing how AI referral traffic is redistributing across ChatGPT, Gemini, Perplexity, and ClaudeWhy a single-platform AI visibility plan is a liability in 2026How the FSA Framework maps to the new AI search realityFive tactical moves to make this weekResources: SEO Roundtable's AI Mode Article Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    17 min

  5. APR 21

    Agentic Conversion Rate: The GEO Metric Nobody's Tracking Yet

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe With ChatGPT agents, Claude in Chrome, Perplexity Comet, Cowork, and Gemini agents now doing the reading — and the deciding — on behalf of buyers, there's a new gap in GEO measurement that almost nobody is tracking yet. Cassie is calling it Agentic Conversion Rate (ACR), and this episode is where she introduces it. In this episode, Cassie walks through the full 5-layer GEO measurement framework (Presence, Positioning, Performance, Pipeline, and the new one — Action), defines ACR, explains why it matters now, and gets honest about what you can actually measure in April 2026 versus what the tooling still needs to catch up to. Plus: which businesses should prioritize ACR immediately, which ones can keep focusing on citation for now, and the biggest gap in GEO tools right now that no dashboard is solving. If you're running a GEO strategy — or trying to figure out whether you should be — this is the framework. What You'll Learn Why most GEO measurement frameworks (including the one Cassie was teaching a month ago) are already out of dateThe full 5-layer GEO measurement framework for 2026: Presence, Positioning, Performance, Pipeline, and ActionWhat Agentic Conversion Rate (ACR) is, why Cassie coined it for GEO, and why it matters nowHow agents are already making shortlist, comparison, and purchase decisions on behalf of buyers — and what that means for your contentThe honest answer to "how do you measure ACR?" in April 2026 (hint: imperfectly, and that's okay)Which business models should prioritize ACR immediately (and which can keep focusing on citation for now)Why GEO tools show you the numbers but never tell you what to fix — and what to do about that gapResources: The FSA Framework on HubSpot GEO Metrics 2026 Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    22 min

  6. APR 16

    The Week AI Search Grew Up: A Third AEO, Google's AI Contribution Pilot, and the NYT Accuracy Study

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe Four stories this week, all pointing in the same direction: AI search is no longer experimental. A Google Cloud AI director just published a new optimization framework, Google is quietly piloting AI visibility reporting inside Search Console, the NYT dropped hard numbers on AI Overviews accuracy, and Ask Maps is reshaping local search around recommendations. Cassie walks through each story, connects it back to the FSA Framework, and closes on the throughline she keeps coming back to: when infrastructure solidifies, behavior follows. In this episode, you'll learn: Why Agentic Engine Optimization is a third optimization layer (not a replacement for SEO or GEO) and the 500-token rule for your highest-value pagesWhat Google's AI Contribution Report pilot signals about where publisher reporting is headed—and why it matters even without screenshots yetWhy "91% accurate" still means hundreds of thousands of wrong AI Overview answers every minuteThe ungrounding problem Gemini 3 made worse, and what it exposes about AI Overview manipulation on high-intent commercial queriesHow Lily Ray's fake-expert listicle test maps onto the Authority pillar of FSAWhat changes in local SEO when Ask Maps stops listing businesses and starts recommending themWhy reviews, Google Business Profile specificity, and agency reporting all need to evolve with this shiftWhether you're a marketer, a founder, or an in-house SEO, this episode connects the week's biggest headlines to a clear next step for your visibility strategy. Resources: The FSA Framework on HubSpot Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    25 min

  7. APR 14

    Should You Skip SEO and Go Straight to AI Search? [2026 UPDATE]

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly 3-2-1 on AI search + marketing: subscribe Should you skip SEO and go straight to AI search? In 2026, the short answer is no—and the longer answer reveals why SEO is actually doing more work than ever, just quietly underneath every AI-generated answer. In this UPDATE to one of Found in AI's most downloaded episodes, Cassie revisits the SEO, AEO, and GEO conversation she had with Ioana Wilkinson back in August—and unpacks what's changed in the eight months since. From Bing's new AI Performance dashboard to Yahoo Scout's quiet launch on Bing's grounding API, the AI search ecosystem now runs on infrastructure that rewards SEO fundamentals more than ever. The episode walks through the FSA Framework—Freshness, Structure, and Authority—as a practical system for showing up in AI-generated answers, and closes the loop on a real-world experiment updating a HubSpot bio to shift how LLMs describe a brand. In this episode, you'll learn: Why SEO is the foundation every AI engine retrieves fromWhich AI answer engines actually run on Bing's index (it's more than you think)What Yahoo Scout is and why marketers should pay attentionHow AEO and GEO fit together as layers on top of SEOThe FSA Framework: Freshness, Structure, and Authority explainedResults from a real experiment using off-site authority signals to change how LLMs describe a brandWhat to fix first when AI engines describe your brand wrong (hint: it's almost never your website)If you've been wondering whether SEO still matters in an AI-first world, or where to start with AI search optimization, this episode connects the dots and gives you a clear next step. Resources: Should You Skip SEO and Go Straight to AEO for AI Search (OG) What's the Difference Between SEO, AEO, and GEO in AI Search? (OG) Let’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    29 min

  8. APR 9

    Gemma 4, Google's Core Update, and Why Your Search Console Is About to Look Weird

    Send us Fan Mail 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe Google released Gemma 4 this week, and while the tech press is treating it as a developer story, Cassie argues it's actually one of the most important content strategy stories of the year. Open-weight models mean companies can download a frozen snapshot of Google's AI and deploy it into internal chatbots, customer support tools, and vertical search products that run for years — each one carrying a frozen version of how the model understood your brand on training day. Cassie also unpacks a double whammy hitting Google Search Console right now: a long-running impression-logging bug dating back to May 2025 that's finally being corrected, and the March 2026 core update, which completed its 12-day rollout the morning of this recording. Together, those two events — plus the recent spam update — are about to make your data look weird for reasons that have nothing to do with your content strategy. The episode wraps with quick hits on Anthropic's Claude Mythos Preview and Project Glasswing, plus Microsoft's viral Copilot Terms of Service moment. In This Episode: Why Gemma 4 is a content strategy story, not a developer story, and what "open-weight" actually means for how AI tools get built on top of Google's modelsHow every open-weight model release creates a frozen snapshot of the internet that gets deployed into internal chatbots and enterprise tools for years after training endsWhy enterprise software upgrade cycles mean a Gemma-powered chatbot built next month could still be shaping buyer perception of your brand in 2028Why Google Search Console has been over-reporting impression counts since May 2025, and what to do when your numbers drop over the next few weeksHow to interpret Search Console data when three Google updates — the spam update, the March 2026 core update, and the impression bug fix — all hit in the same windowAnthropic's Claude Mythos Preview and Project Glasswing: a quick look at the model Anthropic decided not to releaseMicrosoft's "Copilot is for entertainment purposes only" ToS moment and what it says about building long-term strategy around any single engineLet’s connect: LinkedIn → Cassie Clark | Fractional Content Strategist Website → https://cassieclarkmarketing.com Download Freshness, Structure, Authority: The Framework for AI Search Visibility: Amazon 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/

    16 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 optimization expert 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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