Agent readiness means both kinds of AI reader can buy from you

AI shoppers reach your store two ways, and readiness means serving both. The first kind opens and reads your pages like a very fast customer, the assistants and browser agents. Most of them never execute JavaScript, so a product that only exists after scripts run reads as blank. The second kind never loads a page at all. The feed-based shopping systems behind ChatGPT and Google choose from the catalog data they hold, which means the feed has to carry the attributes, fit notes, and policies a recommendation needs.

The Agent-Ready Storefront publishes your structured catalog and brand facts, attributes, fit notes, policies, and differentiation, in formats external agents can read and reason over. Your brand gets described in your own words instead of whatever a public scrape guessed. The enriched catalog is distributed to ChatGPT, Google Shopping and AI results, Perplexity, and Gemini, and kept current as your catalog changes. Kinect's agents are themselves accessible to AI, so a buyer agent can ask questions about your brand and get specific answers back, agent talking to agent. And because the same clean catalog, live stock, and quotable policies are what checkout protocols consume, the store stays ready for AI checkout as UCP arrives. The wider context on this shift is in the AI storefront guide.

Kinect publishes a free, no-email UCP Test that walks the path an AI shopping agent walks and scores four pillars out of 100. Data depth counts for 45 points, what agents actually get when they query your catalog. Page readability counts 20, including whether products exist in the HTML before JavaScript runs. Protocol counts 20, covering your UCP manifest and declared capabilities. Agent access and the purchase path count 15, covering robots rules, bot walls, and whether machine callers reach a working cart. Every probe is read-only. The test never adds to a cart or places an order.