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

Cassie Clark
  • 5.0 (3)
  • 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, 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

    Is Google About to Replace Your Landing Page?

    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 three major AI search stories from the week—including a Google patent that has the SEO community rattled, Perplexity's most ambitious product launch yet, and a long-awaited tone fix from OpenAI. The headline: Google filed a patent describing a system that could generate AI-built landing pages tailored to a user's query, potentially replacing the need to click through to your website at all. It's not live, but it's a signal. Cassie explains why content specificity and structure matter more than ever, and how the FSA Framework applies directly. In this episode, you'll learn: What Google's AI-generated landing pages patent actually describes and what it signals about the future of searchWhy brands with vague, generic landing pages are most at risk, and what to do about itHow content specificity and the FSA Framework protect your visibility, whether this patent ships or notWhat Perplexity Computer is, how it orchestrates 19 AI models into a single workflow system, and why it matters for marketersWhy Perplexity dropping ads while ChatGPT adds them tells you something about the evolving AI search landscapeWhat OpenAI changed in GPT-5.3 Instant to fix the overly therapeutic tone that drove users away from ChatGPTWhy staying current on how AI models shift in personality—not just capability—matters for your content strategyLet’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/

    12 min

  2. 5D AGO

    What Is Entity Authority and Why Does It Matter More Than Domain Authority?

    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 sits down with Lars Lofgren—organic marketing veteran, former affiliate business owner, and SEO consultant for enterprise brands including Automattic and Perplexity—to dig into one of the biggest mental model shifts happening in search right now: the move from domain-level thinking to entity authority. Lars explains how his entire SEO framework broke between 2022 and 2024, why sites with massive domain ratings started getting crushed, and what he rebuilt from scratch after throwing out everything he thought he knew. In this episode, you'll learn: What entity authority is and why it's replaced domain authority as the primary unit of analysis in searchWhy sites with high domain ratings can still perform poorly in both traditional and AI searchHow Google and LLMs map entities across the entire web, not just your websiteWhy Lars recommends starting with social channels before SEO, especially for new or early-stage brandsHow building your entity on platforms like LinkedIn, YouTube, and Reddit gives SEO the wind at its backWhy picking at least two channels and committing to them long-term is critical for entity buildingHow the FSA Framework's Authority principle connects directly to the entity-first approach Lars describesIf you've been wondering why great content and strong domain authority aren't translating into AI visibility—or where to even start building your brand's presence in AI-generated answers—this episode lays it out. 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 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

  3. FEB 26

    Are Reddit Mentions About to Become Transactions?

    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 Reddit’s latest AI-powered shopping test—and why it’s bigger than it looks. Reddit is now surfacing interactive product carousels inside search results, pulling directly from community conversations. What looks like a simple UX update is actually a major shift: community recommendations are becoming structured, AI-surfaced commerce. In this episode, Cassie explains what this means for brands that care about AI visibility—and what to do about it before competitors catch on. In this episode, you’ll learn: Why Reddit’s AI shopping test signals a shift from citation to transaction How community mentions can become structured commerce surfaces Why Reddit search growth (60M → 80M weekly users) changes the visibility equation How to create a human-branded Reddit presence that builds credibility Why building a branded subreddit can function as AI-friendly documentation How to participate in conversations without triggering Reddit backlash What Reddit affiliate strategy could mean for AI-driven product discoveryIf you’ve been treating Reddit as optional in your AI search strategy, this episode will likely change your mind. Resources:  impact.com: Why offsite content increases brand visibility in AI search and overviews: The top 3 factors that matter. Found in AI with Danny Kirk: Why Do Reddit Comments Matter More Than Posts in AI Search? 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 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/

    10 min

  4. FEB 24

    Is YouTube the Missing Piece in Your 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 explores a real-time experiment in AI search visibility. Today’s guest, Zechariah Tokar, shares how he’s been using simple YouTube videos—created with Google’s NotebookLM—to influence local search results. And, it’s working. But it also raises bigger questions about what AI systems are rewarding right now—and what that means for brands. In this episode, you’ll learn: Why YouTube may be overweighted in local and AI-driven searchHow short, low-production videos can create entity signalsWhere NotebookLM fits into rapid video testingWhy middle-of-funnel questions may outperform “best of” keywordsHow to treat YouTube as an experiment—not a long-term shortcutIf you’re working in local SEO or testing AI visibility strategies, this episode offers a candid look at what’s happening right now in the wild. 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 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/

    20 min

  5. FEB 19

    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

  6. FEB 17

    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

  7. 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

  8. 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
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Ratings & Reviews

5
out of 5
3 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, 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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