The Agent Commerce Index — which e-commerce platforms let AI shopping agents in?

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Score by platform

Same weighted 0-100 audit as every domain page — parity across five AI crawlers, readability without JavaScript, robots.txt, structured facts, discoverability — averaged per e-commerce platform. This comparison does not exist anywhere else in public.

Look up a store

If it is already in the index you get its full per-crawler breakdown. For the deeper question — can an agent actually find a product, read its price and reach checkout — see Storefront, which walks the full purchase chain on one store at a time.

Method, in full. A domain counts as a shop when its homepage HTML — already fetched for the AI-readability audit, no extra request — carries a platform fingerprint (Shopify, WooCommerce, Magento, BigCommerce) or a declared price in JSON-LD. The seed of candidate domains comes from Leadita's tech-stack datasets (free, no signup for the domain field), not from generic traffic rankings — a 150-domain sample of the Tranco top list produced zero confirmed shops, because online stores are rare in generic-traffic rankings. Each shop then gets the same six-request audit as every domain in the Agent Web Index. The raw record is at /api/laboratorio/agentindex?shop=1.

Platform is a fingerprint, not a declaration. Detected from HTML markers, not self-reported by the store — smaller or custom-built platforms can be missed entirely.

Readable is not the same as buyable. This page scores whether an agent can read the homepage like the rest of the index. Whether it can find a product, read its price and reach checkout is a different, deeper question — that is what Storefront tests.

One vantage point, one page. All requests leave from a single server in Europe and hit the homepage only, same as the rest of the Agent Web Index.

The sample grows with every crawl. Leadita's dataset is self-reported by a third party and not individually verified; the index states its current count on every figure instead of a fixed edition.