Agent legibility for ecommerce
Your next big customer might be software shopping for someone else. When an AI agent does the comparing and the checkout, the store with the cleanest, most trustworthy data wins. Here is how ecommerce brands get bought by AI.
The shift
The shopper is becoming an agent
A buyer states an outcome, find a durable rain jacket under 200 dollars that ships by Friday, and an AI agent does the rest: reads options, weighs reviews, checks availability, and increasingly buys. Your beautifully designed product page may never be seen by a human in that flow. The agent reads your data, not your layout.
This is agent legibility pointed at the moment of purchase. Being cited is good. Being bought is the whole point. For ecommerce, AI search optimization turns directly into revenue.
Start here
The ecommerce playbook
Three guides that cover getting your store recommended and bought by AI.
The work
What makes a store buyable by software
- Machine-readable product truth: title, attributes, price, availability, all current, with Product and Offer schema and clean feeds.
- Policies an agent can read: returns, shipping, and warranty as data, not fine print in a PDF.
- Genuine reviews and ratings it can corroborate before recommending you.
- A consistent entity across the web, so your facts read as trustworthy. See entities and the knowledge graph.
- Callable actions through MCP and the commerce protocols, so the agent can search and check out, not just read.
- Measurement: track whether agents and answer engines recommend you, with AI visibility.