Agentic commerce's dirty little secret, and what to do about it.

Commerce engineering spent 2026 building for the agent. UCP, ACP, AP2, MCP endpoints, Instant Checkout integrations. Meanwhile the merchant’s own site, still where most revenue converts, has discovery that has not materially improved in a decade. These are treated as two roadmaps. They are one problem, and the second one is the reason the first one underdelivers.

Here is the connective fact. Roughly 63% of zero-result site searches come from subjective, use-case queries: “bike for commuting”, “something for a beach wedding”. Around 81% of US shoppers abandon after an unsuccessful search. That query shape is exactly what an AI agent sends you. If your own search cannot answer it, neither can the agent, and no payment protocol fixes that. Meanwhile Adobe finds product pages are the least machine-readable surface on the average retail site at 66%, worse than the FAQ page, while AI-referred traffic converts 54% better than non-AI traffic and grew 693% year over year over the 2025 holiday.

This session makes the case for 360 degree discovery: every surface a human or machine can find a product through, served from one product layer. I will walk the four things it requires: universal agentic feed deployment as table stakes rather than strategy; clean and enriched product data as the foundation everything else silently depends on; three search surfaces rather than one; and visualization, including virtual try-on, as the step that converts finding into buying. Plus the nine-week triage: what is realistically shippable before holiday freeze and what is not.