Agentic commerce readiness
An AI shopping agent buys on a person's behalf. It reads a catalog, compares options, and completes a checkout without a human filling in a form. Agentic commerce readiness is the work of making a site one of those agents can actually transact with, rather than one it skips because the path is unclear or blocked.
What an agent needs to buy
An agent needs three things in machine-readable form. It needs to find the offer, with a price and currency it can parse rather than infer from a layout. It needs a checkout it can drive through a protocol, not a page built for a mouse. And it needs the purchase to behave predictably, so the same call produces the same result every time. A catalog that looks perfect to a person can still be opaque to an agent on all three counts.
The protocols in play
Checkout is becoming a protocol rather than a page. Stripe and OpenAI shipped Instant Checkout inside ChatGPT in 2025. Google and Shopify introduced a universal commerce protocol in early 2026. The discovery layer is settling on a small set of standards. An A2A Agent Card describes the interface, AP2 authorizes agent payments, ACP carries the checkout, and x402 lets an agent meet a price with HTTP 402 and continue. A site does not need all of them, but it needs the ones its buyers' agents speak, declared where an agent looks.
Where sites fail the agent
Most catalogs lose the agent before checkout. A price that lives only in rendered HTML, a CAPTCHA wall, a maintenance interstitial, or a discovery file that claims a capability the endpoint does not answer. Each one ends the purchase silently. The agent does not complain, it moves to a competitor whose path resolves. The failure looks like no traffic rather than a broken page, which is why it goes unmeasured.
Readiness is testable
Whether an agent can buy is observable, the same way agent-readiness is. Declare the offer as structured data, expose a checkout an agent can call, publish the discovery files the protocols define, and back every claim with an endpoint that answers. Then test it the way an agent would, by driving the path end to end and watching where it stops. turva.dev built and verified its own agent commerce surface this way, across A2A, AP2, ACP and x402, checked by independent scanners.
For an audit of whether AI shopping agents can discover and complete a purchase on your site, contact info@turva.dev.