Product research is moving off the search bar and into AI assistants. When ChatGPT or Perplexity builds the shortlist, your brand is on it or it's invisible, and you can't buy your way in after the fact. This case study walks through one brand's real audit: where it showed up across the assistants, where it didn't, and the fixes that actually moved its share of voice. Discovery is the battleground now, not the register. 

• How to run an AI visibility audit on your own brand: what to search, where to look, and how to read your share of voice across the major assistants  
• The content, PDP, and structured-data fixes that actually move AI recommendations, and the ones that just feel productive  
• A realistic twelve-month readiness plan for agentic commerce that does not require betting the budget 

Your product page has two audiences now: the person deciding and the machine deciding for them, and it is often the first stop after an AI chat because shoppers only trust the assistant about half the time. Yet only about a third of brands pass basic SEO on their PDP, and almost none are ready for AI. This session shows how one brand rebuilt its content operation for both readers, with the test results that separated what mattered from what did not. 

• The PDP elements that most influence both shoppers and AI recommendation engines 
• A content audit you can run on your top twenty SKUs this month 
• How to prioritize fixes when the backlog is infinite and the team is not