Part 1: fixing how your product data reads to an AI

A five-session working series to move you from talking about AI search to pressure-testing it inside your business. Following our initial deep dive into how LLMs discover, interpret, and recommend products, we'll take one core recommendation at a time and put it to work, live. Using a real brand as the case study, we'll pressure-test each lever in practice: what works, what breaks, and what to do next. This session focuses on how to structure product data so LLMs can read it cleanly.