Agent-ready product data

Agent-ready product data is a catalog an AI agent can reason about without guessing. Where a human tolerates a sparse title and a hero image, an agent needs explicit attributes - materials, dimensions, compatibility, price, availability, return terms - in a structured, machine-readable form, because it is answering a specific question and will skip a product it cannot verify.

In practice this means complete structured data (Product and Offer schema), a clean product feed, unambiguous variant and inventory signals, and answers to the comparison questions shoppers actually ask an agent. A gap a shopper would forgive - a missing "is this dishwasher safe" - is a gap that gets a product left out of the answer entirely.

Agent-ready product data is the discovery-side counterpart to agentic checkout: checkout lets the agent buy, but the data is what gets the product recommended in the first place. It is the single most common gap we see between brands that get cited by AI engines and brands that get named as the answer.