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, an AI search consultant and marketing strategist who works with startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google's AI-powered search experiences find information, interpret brands, and influence buying decisions. 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

    Google AI Search Changes, Walmart's AI Shopping Agents & ChatGPT's Tracking Bug

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe What happens after AI search recommends your brand? Does someone click through to your website? Can an AI agent purchase your product? And can you actually measure the traffic you're getting? In this October 22 Found in AI news update, Cassie Clark looks at three developments that show where AI search is heading beyond brand mentions and citations. Google is making source links more visible in AI Overviews and AI Mode, but a big question remains: will those changes increase website traffic? Walmart has launched Agent Gateway, giving approved AI agents a way to shop and complete purchases. And OpenAI has fixed the ChatGPT UTM tracking bug that caused referral traffic to disappear from analytics earlier this month. Well, mostly. In This Episode Google's AI search updates: Why Google is moving source links higher in AI-generated answers, what the growth of Preferred Sources tells us about brand trust, and why we still need click-through data.Walmart's Agent Gateway: How Walmart is opening its shopping infrastructure to approved AI agents, why its approach differs from Amazon's, and what this means for agentic commerce.ChatGPT's tracking bug: What happened to ChatGPT referral traffic between October 8 and 15, why visits were showing up as Direct traffic in GA4, and what marketers should check in their October reporting.The bigger takeaway? AI search visibility is only part of the picture. Brands also need to consider what happens after a recommendation, whether that's a website visit, a purchase, or another action that drives business results. More from Cassie Clark Marketing Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing. ---  Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

  2. 4d ago

    HubSpot's Loop Marketing: Rethinking Marketing for the AI Era

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe The traditional marketing funnel no longer reflects how people discover brands. Buyers are turning to AI search engines, social media, podcasts, and trusted voices to research their options. So what does that mean for marketers? In this episode of Found in AI, Cassie Clark welcomes Caitlin Milliken-Flohr from HubSpot to discuss Loop Marketing, a new framework designed around how buyers discover and engage with brands today. Caitlin breaks down the four stages of Loop Marketing — Express, Tailor, Amplify, and Evolve — and explains how marketers can use AI to better understand their audiences, scale content without losing their brand identity, and reach buyers across different channels. They also explore how smaller teams can build visibility without enormous budgets, why internal thought leaders are an overlooked marketing asset, and how shorter experiments can help teams learn what's working before committing more resources. In this episode Why HubSpot introduced Loop MarketingThe four stages: Express, Tailor, Amplify, and EvolveMaintaining brand identity while scaling content with AIUsing customer insights to personalize marketingWhere AEO and AI search visibility fit into a broader strategyBuilding brand authority through employees and thought leadershipTesting marketing ideas with shorter sprints and measurable KPIsMore from Cassie Clark Marketing Need help with your AI search visibility strategy? Cassie Clark is an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. Explore AI search visibility audits, content strategy, and team training at Cassie Clark Marketing. Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/ Wondering what AI search means for your business? Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies. Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership. www.cassieclarkmarketing.com

  3. 5d ago

    Are AI Visibility Tools Measuring the Wrong Things?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe In this episode of Found in AI, Cassie Clark talks with Peter Rota, an SEO professional with 15 years of experience, about the rapidly growing market for AI visibility tools — and where those platforms still have room to improve. Cassie and Peter discuss why actionability remains one of the biggest challenges with AI visibility software, what teams should look for when evaluating a platform, and why a visibility score alone may not tell you very much. They also dig into one of the biggest AI search measurement questions: should brands care more about being cited, mentioned, or actually recommended? Peter shares his own hierarchy — recommendation, mention, then citation — and explains why citations can sometimes come dangerously close to becoming a vanity metric if they aren't connected to meaningful business outcomes. In this episode: Where AI visibility tools are useful — and where they still fall shortWhy AI visibility data needs to lead to actionWhat to consider before paying for an expensive AI visibility platformWhy prompt-based visibility scores don't tell the whole storyWhy mentions and citations shouldn't be combined into one metricThe difference between being recommended, mentioned, and citedWhen citations risk becoming a vanity metricWhy the intent behind the prompt mattersHow to identify a perception gap between your website and an AI system's understanding of your brandWhy lower-funnel prompts may be more valuable to trackWhether your next AI search investment should be software or a person who can actually turn the data into strategy-- 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/ Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

  4. 5d ago

    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/ Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

  5. Oct 15

    Bing's New AI Visibility Data, ChatGPT Citation Shifts & the Attribution Problem

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe AI search measurement is getting more sophisticated, but is the data becoming more reliable? In this week's Found in AI news update, Cassie Clark covers Bing's new Topics Portfolio beta, Ahrefs research showing shifts in ChatGPT citations toward primary sources, and Nozzle's findings about misleading Google results served to rank trackers. She also explores why missing ChatGPT referral tracking data could make AI-driven traffic harder to measure, plus Yahoo's latest AI search experiment. In this episode: Bing Topics Portfolio: What the new AI Performance beta reveals about topic-level citations, grounding queries, and content opportunities.ChatGPT citation trends: Why primary sources may be gaining ground and what the Ahrefs findings mean for brands publishing original content.Google SERP tracking concerns: What Nozzle found in 27.5 million search results pages and why marketers should validate sudden ranking changes.ChatGPT referral attribution: Why missing UTM parameters and referral data could make AI search traffic appear to decline even when visits are still happening.Yahoo's AI search tests: How follow-up questions are becoming part of the search experience.-- 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.  Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

  6. Oct 13

    Writing for Humans vs. LLMs: What Actually Needs to Change?

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe In this episode of Found in AI, Cassie Clark talks with content marketer Ben Hale about what actually changes when you start creating content for AI search — and what doesn't. Cassie and Ben talk about how audience behavior should determine which AI engines you prioritize, why distribution is becoming an increasingly important part of content strategy, and how content needs to change when it moves from your website to platforms like Reddit. They also dig into the difference between AI mentions and citations, whether getting cited is actually enough to call your strategy successful, and how marketers can test new AI search tactics without chasing every new optimization trick that comes along. In this episode: Why you shouldn't treat AI search engines as a monolithHow to decide which AI engines actually matter to your audienceWhy third-party distribution belongs in your AI search strategyWhy copying brand content directly onto Reddit doesn't workHow to create product and comparison content that's actually usefulHow content structure can affect AI citationsWhy getting cited is only a leading indicator of successThe difference between AI mentions and citationsWhat still matters about writing for humansHow to design AI search experiments with clear timelines and success criteriaWhy marketers need to be willing to abandon tactics the data says aren't working-- 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/ Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/ Wondering what AI search means for your business? Cassie Clark Marketing helps startups and enterprise brands understand how AI systems discover and recommend them, identify what affects their visibility, and develop executable strategies. Services include team training, AI visibility diagnosis, strategic consulting, and fractional marketing leadership. www.cassieclarkmarketing.com

  7. Oct 8

    Google Updates Content Guidance as AI Agents Reshape Search

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe AI search is moving beyond citations and recommendations. As consumers use AI to discover businesses (and personal agents begin browsing the web on their behalf), brands need to think about the entire information environment surrounding them. In this episode of Found in AI, Cassie Clark breaks down Google’s updated guidance on main content and fake authors, new data showing rapid growth in AI-powered local search, and Profound’s research into personal agents like Muse and Instinct. Together, these developments point to a larger shift: AI visibility is becoming less about optimizing for a single answer and more about whether humans and AI agents can discover, understand, verify, and act on information about your brand. In this episode: What Google’s new “good main content” guidance means for SEO and GEOWhy content structure matters without becoming another GEO hackWhy brands cannot manufacture authority with fake expertsHow AI is changing local business discoveryWhy AI recommendations still trigger additional verificationHow personal agents like Muse and Instinct browse the webWhat agent-driven discovery could mean for websites and marketersWhy AI visibility and agent readiness are becoming connected problems-- 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/ Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

  8. Oct 1

    Google AI Mode Monitoring + Why AI Citations Don’t Equal Recommendations

    Send us Fan Mail 📬 You like this podcast? You’ll love the newsletter. Join the weekly The Visibility Report: subscribe Google is expanding AI Mode’s monitoring capabilities, letting users have Google continuously watch the web for new information instead of repeatedly running the same search. In this episode of Found in AI, Cassie Clark looks at what persistent search could mean for content freshness and AI search visibility. Cassie also breaks down new research from Graphite analyzing nearly 500,000 AI shopping responses across ChatGPT and Google. While large and small retailers appeared at similar rates among cited sources, major retailers were significantly more likely to become the actual recommendation — another example of why citation presence and recommendation presence should not be treated as the same AI visibility metric. Plus, Google Search Console adds reporting for multimodal searches originating from tools including Google Lens and Circle to Search, and new research from Perplexity explores why retrieval systems may need more than the single passage containing an answer to provide enough context for a useful response. In this episode: Why Google AI Mode monitoring changes the traditional search journeyWhat persistent search means for content freshnessWhat Graphite found after analyzing nearly 500,000 AI shopping responsesWhy being cited by an AI system does not guarantee your brand will be recommendedHow prompt language can affect which retailers AI recommendsGoogle Search Console’s new multimodal search reportingWhy search intent increasingly exists without a traditional typed queryWhat Perplexity’s contextual embedding research tells us about AI retrievalWhy structuring content for AI shouldn’t mean removing useful context-- Found in AI covers AI search visibility, generative engine optimization (GEO), answer engine optimization (AEO), AI search measurement, and the changes marketers need to understand as platforms like ChatGPT, Google, and Perplexity reshape search and discovery. 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 her at cassie@cassieclarkmarketing.com.  Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/ Join Cassie Clark for a free live training, How to Build an AI Search Visibility Strategy, on November 5, 2026, at 1 PM ET. Learn how to identify relevant AI search opportunities, diagnose visibility gaps, establish a measurement baseline, and prioritize your next steps. Includes live Q&A. Register for free: https://cassieclarkmarketing.com/ai-search-training/

See All (104)

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, an AI search consultant and marketing strategist who works with startups and enterprise brands, the show explores how platforms like ChatGPT, Perplexity, Gemini, and Google's AI-powered search experiences find information, interpret brands, and influence buying decisions. 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