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Every advantage you have right now, AI can copy. Your pricing. Your features. Your positioning statement. Give it a good enough prompt and it'll write something that sounds just like you — sometimes better.

In this episode, Jeff Payne breaks down the two things that remain genuinely uncopyable in an AI-saturated market: your brand — the emotional expectation customers have of you before they ever interact with you — and how you actually treat your customers, especially when something goes wrong. Using a 10 year client relationship with Portland periodontist Dr. Kamran Haghighat as a real-world example, Jeff walks through what it looks like to build both, and offers a simple audit CEOs can run on their own business this week.

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In Episode 35, Jeff showed you that once a brand claims a category in AI search, it holds onto it 90% of the time. This episode is the other half of that story.

New data from Semrush and analyst Kevin Indig at Growth Memo, covering more than 1,000 categories inside ChatGPT, shows that only 15.2% of categories currently have a clear owner. The rest — 53.7% — are wide open, with no brand holding a repeatable lead.

Here’s the twist: split those categories by how much actual AI search demand they carry, and ownership gets rarer, not more common, as the stakes go up. The biggest categories, which account for 98% of all demand in the study, have the lowest ownership rate of the entire dataset — just 11.3%. As a result, 89.3% of all AI search demand sits in categories where nobody has locked in the lead.

Jeff also breaks down how ownership varies dramatically by industry — from 61.6% owned in retail to 0% owned in legal — and lays out the strategic question every business owner should be asking their team this week: which of your core categories still has the door open, and are you even trying to be the answer there?

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Somewhere right now, an AI is pitching your product to a potential customer — and you have no idea what it's saying.

In this episode, Jeff breaks down a sharp new piece of research on how leading companies are shaping their AI narrative on purpose, not by accident. AI doesn't read your website and form a balanced opinion — it skims, and it disproportionately weights structural prominence: headers, navigation, footers. What you put in those spots is what AI repeats back to prospects.

Jeff walks through three real examples: how Rippling turned a corporate espionage scandal into an owned-media asset by publishing the story on their own blog first; how Clay engineered near-perfect AI citation accuracy just by moving customer proof into the website footer; and how Lovable rebuilt its pricing FAQ with tables that speak directly to how language models cite information.

This is a practical, no-jargon breakdown for business owners who want to stop hoping AI tells their story right — and start building it where AI is already looking.