Take AI search from theory to a live stress test

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. Each 30-minute session focuses on one lever in the AI search stack: how to structure product data so LLMs can read it cleanly, what "good" context looks like for AI recommendations, where PDPs, FAQs, reviews, and off-site content break down, how SEO and AI search intersect (and where they diverge), and what to own in-house vs. automate. 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. Expect real tradeoffs across product, marketing, and engineering.