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

Cassie Clark
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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, 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. 14H AGO

    What Does Claude Sonnet 4.6 Actually Change for AI Search Strategy?

    Send a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe 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 reasoningHow improved model stability changes what’s practical in content analysisWhy Claude has quietly become the default content partner for many B2B teamsHow to use unified customer data to inform AI search optimization strategyWhy internal data quality directly impacts external AI visibilityHow recurring objections, language patterns, and positioning gaps shape inclusion in AI-generated answersWhy search is moving from retrieval to synthesis to executionWhat structured clarity and consistent terminology signal to AI systemsHow to think about AI as a strategic reasoning layer—not just a writing toolIf 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/

    12 min

  2. 2D AGO

    Can You Rank #1 in ChatGPT?

    Send a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe In this episode of Found in AI, Cassie is joined by Kristina Frunze, founder of WebviewSEO, an SEO and AI search optimization agency for B2B SaaS. Together, they unpack what AI visibility really looks like in practice—and why share of voice, intent alignment, and brand consistency matter far more than screenshots of a single AI answer. Rather than chasing the illusion of ranking, this episode reframes GEO around measurable influence, bottom-of-funnel visibility, and the structural signals AI systems use to interpret and recommend brands. In this episode, you’ll learn: Why “ranking” is the wrong mental model for LLM visibilityHow AI answers vary, even when prompts stay the sameWhat AI Share of Voice actually measures (and why it matters)Why tracking 150 prompts is usually unnecessary—and what to track insteadHow bottom-of-funnel prompts drive more meaningful visibility than top-of-funnel queriesWhether long-form content still works in AI search (and when shorter answers perform better)How to build objective, methodology-driven listicles that AI systems trustWhy brand consistency across LinkedIn, directories, and owned assets impacts LLM understandingHow messaging ambiguity weakens AI confidence signalsWhat brands can do today to improve frequency of mention in AI-generated answersIf you’re trying to separate hype from strategy in the GEO conversation—and build real, defensible AI visibility—this episode will 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/

    25 min

  3. FEB 12

    What Do Bing’s AI Performance and ChatGPT Ads Mean for Search?

    Send a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe In this episode of Found in AI, Cassie breaks down Bing’s new AI Performance dashboard inside Bing Webmaster Tools and OpenAI’s rollout of ads in ChatGPT — and explains why this week marks a maturity moment for AI search. Cassie walks through what Bing’s citation metrics actually measure, how grounding queries differ from traditional Google Search Console data, and why these insights should be used to validate entity authority, not just track keywords. She also unpacks what ChatGPT’s new ad layer signals about monetization, visibility, and the emerging “AI SERP” environment. Using the Freshness, Structure, Authority (FSA) framework, Cassie explains how brands should approach measurable AI visibility and what changes are now required as AI interfaces include both organic citations and sponsored placements. In this episode, you’ll learn: What Bing’s AI Performance dashboard actually measures (and what it doesn’t)How grounding queries differ from Google Search Console query dataWhy you should use Bing to validate entity authority and GSC to guide keyword targetingHow Freshness, Structure, and Authority show up in Bing’s recommendationsWhat ChatGPT’s ad rollout means for organic AI visibilityWhy AI engines are starting to resemble conversational SERPsHow brands should think about organic and paid visibility in AI interfacesIf you’re a marketer, founder, or content strategist trying to understand how AI visibility is evolving — and what measurement plus monetization means for your strategy — this episode will help you connect the dots between tooling, infrastructure, and opportunity. 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 February 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/

    13 min

  4. FEB 10

    What is an AI Visibility Audit? (And Do You Need One?)

    Send a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe What is an AI visibility audit? In this episode of Found in AI, Cassie breaks down what an AI visibility audit actually is, why so many brands are suddenly asking for one, and how AI engines decide which brands to recommend in their answers. Rather than focusing on rankings or traditional SEO metrics, Cassie explains how AI-driven discovery works differently — and why most brands don’t have a visibility problem, but a diagnosis problem. Using her Freshness, Structure, and Authority (FSA) framework, she walks through what AI systems look for, where brands tend to fall short, and how audits help teams understand what’s really blocking their visibility. In this episode, you’ll learn: What an AI visibility audit is (and what it is not) Why AI visibility isn’t about rankings, keywords, or dashboards How AI engines interpret who your brand is for and when to recommend it Why many visibility issues are actually authority or clarity issues How the Freshness, Structure, and Authority framework applies to AI search What signals matter most across websites, social channels, and third-party mentions What success looks like after an AI visibility audit How audits help teams focus, align, and build visibility intentionally over timeIf you’re a marketer, founder, or content leader trying to understand why competitors are showing up in AI answers — and how to diagnose what’s holding your brand back — this episode will help you rethink visibility before jumping into tactics. Resources: Baseline Audit for AI Search Visibility AI Visibility Audit Case Study: Why Alai Wasn't Showing Up in AI Answers 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 February 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/

    15 min

  5. FEB 5

    What Does Microsoft’s AEO/GEO Guide Mean for Ecommerce?

    Send us a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe What does Microsoft's AEO/GEO Guide mean for ecommerce?  In this episode of Found in AI, Cassie walks through what Microsoft actually recommends for optimizing ecommerce sites for AI engines like Copilot, why structured and consistent product data matters, and how AI systems interpret pricing, availability, and trust signals. Using Microsoft’s guidance alongside the Freshness, Structure, Authority (FSA) framework, Cassie explains what ecommerce teams should focus on now — and why page-level SEO alone is no longer enough. In this episode, you’ll learn: What Microsoft’s AEO/GEO guide reveals about AI-driven ecommerce discoveryWhy AI optimization is about clarity and consistency, not rankingsThe schema types Microsoft recommends for ecommerce brandsWhich product data fields AI systems rely on mostHow the FSA framework applies to AEO and GEO strategiesWhat ecommerce teams should audit first to improve AI visibilityIf you’re an ecommerce marketer or founder trying to understand how AI engines actually interpret your site — and how to ensure your brand is represented accurately in AI-generated answers — this episode will help you rethink what optimization really means. Resources: Microsoft: From Discovery to Influence: A Guide to AEO and GEO 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 February 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/

    7 min

  6. FEB 3

    How Should Brands Measure Visibility in AI Search?

    Send us a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe Do AI search rankings actually matter? In this episode of Found in AI, Cassie breaks down new research from Rand Fishkin and SparkToro that challenges one of the biggest assumptions marketers are making about AI-powered search: that rankings still matter. She walks through what the data actually shows about how AI engines like ChatGPT and Google AI generate brand recommendations, why rankings are wildly unstable, and why visibility — not position — is the metric brands should be paying attention to instead. Using both Rand’s research and her own Search Engine Journal displacement case study, Cassie explains how smaller brands can compete with legacy publishers in AI-generated answers by optimizing for visibility, probability, and share of voice. In this episode, you’ll learn: Why AI search engines don’t produce stable rankings — and never willWhat Rand Fishkin’s research reveals about how brands appear in AI answersThe difference between visibility frequency and AI Share of VoiceHow to correctly calculate AI Share of Voice (and what it actually tells you)Why rankings have nothing to do with appearing in AI-generated recommendationsHow a GEO strategy helped a smaller brand displace Search Engine Journal in AI answersWhy AI search rewards consistency and pattern recognition over domain sizeWhat marketers should understand before spending money on AI visibility toolsIf you’re a marketer, content strategist, or founder trying to understand how AI-powered search really works — and how to increase your chances of being included in AI answers without chasing meaningless rankings — this episode will help you rethink what visibility actually means in the age of AI. Resources: SparkToro's latest research Case Study: The Displacement of Legacy Authority: A 125-Hour AI Share of Voice Case Study 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 February 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/

    14 min

  7. JAN 29

    Can You Opt Out of AI Search Without Losing Visibility?

    Send us a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe  Can you opt out of AI search without losing visibility? In this episode of Found in AI, Cassie breaks down two recent Google updates that quietly confirm where search is headed — and why publishers and brands now face a real tradeoff between control and visibility. She unpacks what Google actually means when it says sites may be able to opt out of generative search features, how Google-Extended fits into the picture, and why opting out of AI-powered experiences isn’t a neutral decision if discovery and demand matter to your business. In this episode, you’ll learn: What Google is really signaling about the future of AI Overviews and generative searchHow Google-Extended works — and what it does and doesn’t affectWhy opting out of generative search can reduce visibility, even if rankings stay intactHow conversational follow-ups are reshaping the old SEO mental modelWhy being useful across a conversation now matters more than ranking for a single queryWhat brands should consider before deciding whether to opt out — or lean inIf you’re a marketer, content strategist, or founder trying to understand how AI-powered search impacts visibility, authority, and discovery — and whether opting out is worth the risk — this episode will help you think through the tradeoffs clearly and strategically. 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 February 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/

    9 min

  8. JAN 27

    What Does Entity Authority Actually Look Like in AI Search?

    Send us a text 📬 Love the podcast? You’ll love the newsletter.  Get the weekly 3-2-1 on AI search + marketing: Subscribe How do AI search engines decide who to trust? In this episode of Found in AI, Cassie breaks down what entity authority actually means in the context of AI search, and why strong SEO alone is no longer enough to show up in AI-generated answers. She explains how AI engines like ChatGPT, Gemini, and Perplexity build confidence in brands, creators, and concepts — and why so much of that trust is formed off your website. In this episode, you’ll learn: What entity authority is and how AI engines use it to assemble answers Why AI search prioritizes recognizable sources over perfectly optimized pages How YouTube explanations can influence AI visibility even when blog posts don’t rank Why Reddit provides critical conversational context for AI systems How LinkedIn posts can surface in AI Overviews — even without long-form articles Why consistency across platforms matters more than publishing volumeIf you’re a marketer, content strategist, or founder trying to understand why your content isn’t showing up in AI answers — and what to do about it — this episode breaks down how entity authority really works. 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/

    13 min
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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 optimization expert, 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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