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This episode marks the launch of a new weekly Thursday segment, where we cover the latest developments in AI search and their implications for visibility, content strategy, and discovery.

On today's show:

Google is quietly testing a new AI mode inside traditional Search — with no announcement, no documentation, and no roadmap. However, this experiment signals one of the most significant shifts in search behavior since the early 2000s.

In this episode, Cassie Clark is joined by AI researcher Adam Whistler, one of the first people to spot and analyze this hidden rollout. Together, they break down what’s changing, how AI results are being layered into Google’s default experience, and what this shift means for brands, creators, and anyone relying on organic visibility.

If Google moves AI mode into the mainstream, the discovery journey changes forever — and the time to prepare is now.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization

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In today’s episode of Found in AI, I’m breaking down the FSA Framework — the simple, practical model behind why AI engines cite some brands instantly… and completely ignore others. If you’ve ever wondered why a tiny DA4 website gets referenced over industry giants, this episode pulls back the curtain.

We dig into what really drives visibility across ChatGPT, Gemini, and Perplexity, and why traditional SEO alone can’t get you into AI answers anymore. Using freshness, structure, and authority, you can influence AI citations far more than you think.

We cover:

• Why AI search has officially overtaken traditional search behavior
• How Google’s “AI Mode” shift changes everything for content marketers
• The three factors AI engines rely on to select brand sources
• What freshness signals actually look like to an LLM
• How to structure content so AI can extract and reuse it
• Why authority = entity strength, not domain authority
• How Cassie used the FSA Framework to start appearing in AI answers
• A simple diagnostic test to see why you’re not being cited
• The 30-day plan to improve AI visibility (even with a tiny site)

If you’re trying to stay visible in a world where generative search is rewriting how people discover information, this episode gives you a clear, actionable starting point.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization

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In today’s episode of Found in AI, I’m joined by SEO strategist Beth Chernes to dig into why Reddit has suddenly become a power player in AI search — and what founders and marketers should be doing about it.

We break down how the Google–Reddit partnership is reshaping visibility, why Reddit keeps appearing in AI Overviews, and how to use the platform without getting banned, torched, or downvoted into oblivion.

We cover:

• Why Reddit is dominating Google’s AI Overviews right now
• How Reddit data is training LLMs — and what that means for your brand
• The right (and wrong) way to participate in subreddits
• How to use Reddit for social listening and pain-point research
• Why transparency matters more than ever on user-generated platforms
• How to track ROI from Reddit without being spammy
• One tiny Reddit experiment anyone can run this week

If you’re trying to stay visible in a world where generative search is rewriting how people look for answers, this episode gives you a simple, practical starting point.💬

Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, Reddit Marketing, Google–Reddit Partnership, Generative Search, AEO, GEO, AI Visibility, User-Generated Content, SEO Strategy, Subreddit Research, Social Listening, B2B Marketing, Search Trends, Digital Visibility

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In today’s episode of Found in AI, I’m joined again by Kristina Frunze of WebView SEO to break down what SEO actually looks like now that AI engines are rewriting how people find information.

We dig into the tactics that still matter, the ones that don’t, and the new visibility signals every marketer needs to understand.

We cover:

• Why “write for humans, structure for machines” is the new SEO rule
• How Google is redefining spam — and what that means for your content
• When to prioritize structured data, citations, and brand mentions
• The Reddit rollercoaster and whether it still belongs in your strategy
• How to measure visibility in a zero-click search world
• What replaces rankings as the key metric heading into 2026

If you’re trying to keep your brand visible while SEO and AI blur together, this episode gives you a grounded, no-nonsense roadmap.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, SEO Strategy, Generative Search, AEO, GEO, AI Visibility, Structured Data, Content Strategy, Zero-Click Search, Google AI, Schema Markup, B2B Marketing, Search Trends, Digital Visibility

Find the transcript here.

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In today’s episode of Found in AI, I’m bringing receipts.

My blog, cassieclarkmarketing.com, was cited in ChatGPT ahead of Semrush. (Yes, that Semrush.)

So in this episode, I’m breaking down exactly how it happened: what I tested, why it worked, and what it means for every marketer trying to figure out how to get their brand mentioned in AI search results.

We cover:

• How I structured my content to earn an AI citation (without a massive domain authority)
• Why clarity, context, and authenticity now matter more than backlinks
• The difference between SEO optimization and GEO (Generative Engine Optimization)
• How to format posts for both humans and algorithms — and why that balance wins
• Why smaller teams have a massive opportunity in the AI visibility race

If you’ve been wondering how to get your own brand cited in ChatGPT, Perplexity, or Google’s AI Overviews, this episode breaks down what’s actually working right now — based on real results.

📌 Mentioned in this episode:

• My blog post: Thought Leadership Examples — What Startups Get Wrong and How to Get It Right
• GEO (Generative Engine Optimization) experiments and frameworks
• Tools like Jetpack, Quoted, and LinkedIn for sourcing expert commentary
• AI visibility metrics and how to track citations

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Citations, ChatGPT Mentions, Generative Engine Optimization, GEO, AI Search, Answer Engine Optimization, AEO, AI Visibility, Content Strategy, AI Content Marketing, AI Search Optimization, ChatGPT SEO, Perplexity Search, Schema Markup, Topical Authority, AI-Driven Content, B2B Marketing, Digital Visibility, SEO vs AEO, AI Overviews, Generative Search

Find the transcript here.

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In today’s episode of Found in AI, I sit down with Lindsay Boyajian-Hagan, VP of Marketing at Conductor, to unpack how AI search is redefining visibility — and what brands need to know about optimizing for AEO (Answer Engine Optimization) instead of traditional SEO.

We cover:

• What AEO actually is — and how it differs from SEO in the era of AI-generated answers
• Why content depth, topical authority, and schema markup now determine who gets cited in ChatGPT, Perplexity, and Google’s AI Overviews
• How to map personas as prompts, not slide decks, to create content AI can understand and surface
• The role of structure, author schema, and data-driven content in improving AI visibility
• Practical steps to audit, prune, and rebuild your content strategy for AI search

If you’ve been noticing traffic drop-offs or wondering how to keep your brand visible when algorithms stop playing by the old SEO rules, this episode will help you recalibrate your strategy for the next era of search.

📌 Mentioned in this episode:

• Conductor’s approach to AEO and topical authority
• Schema, author markup, and structured data best practices
• AI search engines like ChatGPT, Perplexity, and Google Gemini
• Building audience-driven content systems that scale

💬 Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AEO, Answer Engine Optimization, AI Search, Topical Authority, Schema, SEO, Conductor, AI-Driven Marketing, Generative Engine Optimization, GEO, Content Strategy, B2B Marketing

Find the transcript and show notes here.

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In today’s episode of Found in AI, I sit down with Josh Spilker, Head of Content and SEO at AirOps, to unpack how the rise of the content engineer is reshaping the way marketing teams build, scale, and optimize content in the age of AI search.

We cover:

• What the content engineer role actually is — and why it’s becoming essential inside modern content teams
• How AI workflows are changing the way we handle linking, updates, and large-scale content operations
• Why freshness, structure, and systemized updates now drive visibility in AI engines like ChatGPT and Perplexity
• The skills and tech stack today’s content engineers need — from no-code tools to prompt-based automation
• How content leaders can start treating content like a product to future-proof their teams and stay visible in LLM search

If you’ve been wondering how to future-proof your content strategy — and what new skills will separate tomorrow’s marketers from the ones left behind — this episode is for you.

📌 Mentioned in this episode:

• Content engineering frameworks
• AI workflows for linking and content freshness
• AirOps and AirOps University
• ChatGPT, Perplexity, and Google AI Mode
• Systems thinking in content operations

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com
Newsletter → Get the insights

Keywords: Content Engineer, AI Search, AI Workflows, SEO, Content Operations, AirOps, Generative Engine Optimization, GEO, AEO, AI-Driven Marketing, Content Strategy, B2B Marketing

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In today’s episode of Found in AI, I sit down with Charlie Graham, founder and CEO of RivalSee, to unpack how AI visibility optimization — or AIVO — is reshaping the way brands show up inside ChatGPT, Perplexity, and Google’s AI mode.

We cover:

• How AI engines actually source, rank, and surface brand mentions
• Why long-tail, bottom-of-funnel content is outperforming top-of-funnel in AI-driven search
• How structured data, static content, and schema impact visibility in real-time results
• The difference between being linked and being mentioned — and why most brands get it wrong
• Practical ways small teams can start experimenting with AI visibility without overhauling their entire SEO strategy

If you’ve been wondering how to adapt your content strategy for the next era of search — and make sure your brand actually shows up in AI answers — this episode is for you.

📌 Mentioned in this episode:

• AI Visibility Optimization (AIVO)
• RivalC (AI visibility tracking)
• Long-tail keyword strategies for AI search
• Structured data and schema markup
• ChatGPT, Perplexity, and Google AI Mode

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AIVO, AI Visibility Optimization, AI Search, SEO, Long-Tail Keywords, Structured Data, Generative Engine Optimization, AEO, GEO, Brand Mentions, Content Strategy, B2B Marketing

Find the show notes and transcript here.