Bing's New AI Visibility Data, ChatGPT Citation Shifts & the Attribution Problem – Found in AI: AI Search Visibility, SEO, & GEO

Send us Fan Mail📬 You like this podcast? You’ll love the newsletter.Join the weekly The Visibility Report: subscribeAI 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/

1. Bing's New AI Visibility Data, ChatGPT Citation Shifts & the Attribution Problem 22:44
2. Writing for Humans vs. LLMs: What Actually Needs to Change? 28:25
3. Google Updates Content Guidance as AI Agents Reshape Search 17:43
4. Are AI Visibility Tools Measuring the Wrong Things? 17:12
5. Google AI Mode Monitoring + Why AI Citations Don’t Equal Recommendations 12:59

Found in AI, a podcast dedicated to helping marketers and founders learn AEO and GEO strategies in this new wave of AI search, is hosted by Cassie Clark, AI Search Visibility Consultant and Fractional Content Strategist.

AI search is rewriting the rules of visibility. Found in AI is the podcast that helps marketers, founders, and content teams understand what’s happening right now — and what to do about it.

If you want to stay visible in ChatGPT, Perplexity, Google’s AI Overviews, and every emerging AI engine, this is the show for you.

Listen wherever you get your podcasts.

Want to work with Cassie? Here’s how to start.

Why Found in AI Exists

Search is changing faster than anyone expected. AI engines are now interpreting content instead of simply indexing it.

For years, marketers were trained to write for SEO, optimize for keywords, and think in “rankings.”

However, AI search doesn’t rank pages (and labeling it as such is categorically incorrect). Instead, LLMs reuse ideas.

That shift has left a massive gap:

• Marketers aren’t sure how to stay visible
• Founders don’t know how to measure success anymore
• Content teams are still producing “SEO content” for a world that no longer works that way
• Almost no one is explaining this shift clearly and practically

Found in AI exists to fix that.

Every episode breaks down the new rules of AI-driven discovery — GEO, AEO, semantic structure, entity building, long-tail strategy — and gives marketers a way to stay visible in ChatGPT, Perplexity, Google’s AI Overviews, and every emerging AI engine.

This podcast, particularly the 5-Step AI Search Visibility Strategy episode, is your map through the biggest search transformation we’ve seen in two decades.

About the Host

I’m Cassie Clark, a fractional content strategist who helps startups and enterprise brands build content systems that actually work.

I started Found in AI because I kept seeing the same pattern everywhere: teams were doing everything “right” by traditional SEO standards… but their visibility inside AI engines wasn’t moving.

Once I realized that AI search uses a completely different set of signals, I knew I needed to document what I was learning in real time.

This podcast is the result of my AI visibility and search optimization experiments.

It’s where I break down AI search without the jargon, explain how visibility really works now, and teach marketers how to build content that AI engines can actually understand and reuse.

If you want your content to be found in AI, you’re in the right place.