This resonates with what I'm seeing on the search/discovery side. I've been collecting data on how brands surface across AI engines (ChatGPT, Perplexity, Google AI) and the signals that drive AI recommendations are already diverging hard from traditional SEO.The correlation between Google rankings and LLM citations in my dataset is around 0.31, basically, being #1 on Google means almost nothing for whether an AI agent would recommend you. What does matter: structured data, review density on aggregators, Reddit mentions, and how "citable" your product information is.Your point about brands optimizing for agent evaluation instead of human browsing feels right, but I'd push back slightly on the timeline. Most brands don't even know they're invisible to current AI search, 78% in the data I've looked at don't appear at all on purchase-intent queries. We're not even at the "optimizing for agents" stage yet. We're at the "realizing AI is already recommending your competitor" stage.Curious how you see the transition: do brands start adapting because agents force them to, or because early movers in AI visibility pull ahead and everyone else reacts?