Agentic commerce, explained

Is my store ready

• How to explain agent readiness to your leadership team

  The case for agent readiness is not a forecast about how large agentic commerce will become. It is that a store can be absent from it without any signal, that the absence is usually accidental, and that most of the remedy is data hygiene which pays for itself elsewhere. Framed as a bet on a trend it invites an argument about the trend. Framed as an unmonitored failure it invites a decision.

• How to audit your store for agent readiness in an afternoon

  A first agent readiness audit fits in an afternoon if you work in the order an agent meets your store and resist fixing things as you find them. Check permission, then enumeration, then legibility, then checkout, recording what you find rather than repairing it. Fixing as you go is what turns an afternoon into a fortnight and leaves the audit unfinished.

• How often should you test your store with AI agents?

  Test on change rather than on a schedule. Agent readiness is not a property you achieve and keep: it is broken by ordinary events, a theme update, an app install, a consent banner, a bot rule change, and each of those ships without anybody thinking about agents. A calendar cadence catches breakage late. Testing on the events that cause it catches it while somebody still remembers what changed.

• Do I need to do anything for AI shopping agents?

  Most of what makes a store work for AI shopping agents is data hygiene you would want anyway: prices and availability as structured data, terms as text, a checkout that works signed out on a phone. Almost nothing requires adopting a protocol or building anything new. The one thing worth doing now is making sure your bot rules are a decision rather than an inheritance.

• How much of your traffic comes from AI agents?

  There is no industry figure that answers this for your store, because the number depends on your category, your customers and whether you are permitting agent traffic at all. What you can do is measure your own, from server logs for agent requests and from analytics for the people assistants refer, while accepting that both undercount and that neither can be backfilled.

• How to identify AI agent traffic in server logs

  Server logs are the only place an AI agent’s visit is recorded, because the request is served whether or not any JavaScript runs. Identify agents by user agent token against each vendor’s published list, corroborate with the address the request came from, and treat any hardcoded list as something that decays, because new agents appear and tokens change without notice.

• How to find AI agent traffic in Google Analytics

  Google Analytics can show you people who arrived from an assistant, because those are real browser sessions carrying a referrer. It cannot show you agent requests themselves, because most never run the JavaScript that reports a pageview. Analytics answers the referral question and your server logs answer the agent question, and confusing the two is how stores conclude that nothing is happening.

• How to check if ChatGPT can see your products

  Asking ChatGPT whether it can see your store is the least reliable way to find out, because an assistant answering from memory produces the same confident sentence whether or not it fetched anything. What decides the answer is mechanical: whether your robots and CDN rules permit the fetch, whether your catalogue can be enumerated, and whether your product data is readable once retrieved.

• Will AI agents recommend my products?

  An AI agent recommends a product by comparing candidates against a shopper’s stated constraints, so being recommended depends on whether your data answers those constraints. A store that states its price, availability, shipping cost and terms can be compared. A store that leaves any of them unstated is not judged badly, it is judged conservatively, which usually amounts to the same outcome.

• What happens when an AI agent visits your store

  An AI agent arrives at your store cold, fetches a small number of pages, and keeps only what it can read as text or structured data. It does not run your scripts the way a browser does, does not hover, does not wait, and does not have a session. Everything your storefront does to make a page feel good is invisible to it, and everything it needs has to be stated rather than shown.

• Signs your store is invisible to AI agents

  A store that is invisible to AI agents usually looks completely healthy to its owner. The signs are specific and checkable: product data that only exists once scripts have run, terms published as images, a sitemap that lists collections rather than products, and bot rules written for training crawlers that also catch shopping agents. None of them affect how the store looks to a person, which is why they survive.

• Is my store visible to AI shopping agents?

  Visibility to an AI shopping agent is decided by whether it is permitted to fetch your pages, whether it can enumerate your catalogue, and whether your product data is readable once it arrives. Those are different from the things that make you visible in search, so a store can rank well and still be effectively absent from an assistant’s view of the market.

• How to test if AI agents can buy from your store

  Test in the order an agent meets your store: whether it can find your catalogue, read your product data as text, work out your true total, and drive your checkout to the payment step. Each test rules something out rather than proving success, because only a completed attempt proves success. Run them in order, since an early failure makes every later result meaningless.

• How do I know if AI will buy on my website?

  You find out by sending an agent and watching where it stops. An AI agent reads your store as data rather than as a rendered page, so nothing you can see in a browser tells you whether one can find your products, understand your prices and terms, or reach your payment step. The failure is invisible from the inside, which is why guessing is the one approach that does not work.