Your customers stopped Googling. They ask ChatGPT now.
And when ChatGPT answers, it recommends someone. If that someone is not you, this episode explains exactly why, and exactly what to do about it. One founder already cracked it: 10 million impressions from ChatGPT, zero dollars in ad spend, and an American Marketing Association campaign of the year award to prove it was not luck.
Anya Cheng spent her career building products and marketing at Meta, eBay, Target, and McDonald's tech headquarters before founding Taelor, an AI-powered menswear rental company in Silicon Valley. She is a Northwestern lecturer, TEDx speaker, bestselling author, and mentor at 500 Startups. In this conversation, she opens the playbook most agencies are still guessing at.
The episode starts with the business itself: an AI stylist backed by human experts that dresses busy operators for the outcome they need. A deal to close. A courtroom to win. A first date that earns a second one. Then Kayvon does what he does on every episode and reverse engineers the real gold. The conversation turns to how Taelor actually acquires customers, and the answer is not ads. It is AI search. Anya breaks down why sentiment now outranks keywords, why Reddit threads and review platforms feed the machines, why AI can analyze your video and podcast content beyond the keywords Google Search relied on, and how a human-AI content flywheel turns proprietary data into a moat no competitor can copy.
This one is for founders, operators, and marketing leaders who feel the ground shifting under their acquisition strategy. If your growth plan still assumes people find you through a search bar, you are optimizing for a behavior that is disappearing.
The conversation covers answer engine optimization, AI SEO, generative engine optimization (GEO), and the practical mechanics of getting cited by the likes of ChatGPT, Claude and Gemini. It digs into proprietary data as a competitive advantage, building content flywheels that combine human expertise with AI scale, customer acquisition without paid ads, subscription business models, and what it takes to become an AI-native company instead of a company that merely uses AI.
Topics covered:
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How Taelor's AI plus human stylist model works
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Why fashion companies were built for the wrong customer
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The shift from Google search to AI recommendations
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Sentiment, reviews, and context: the new ranking signals
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The exact content system behind 10 million ChatGPT impressions
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Why proprietary data is the only real moat in the AI era
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The 40 percent problem: fashion's unsold inventory crisis
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Dressing for outcomes: deals, courtrooms, and second dates
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