Agent-ready conversion: how AI agents complete, or abandon, your funnel

Who the new visitor is

Three kinds of agent now land on business websites. Answer engines (AI Overviews, ChatGPT search, Perplexity) read your pages to answer a question and decide whether to cite you. Research agents compare several providers against a brief, build a shortlist and hand it back to a person. Action agents go further: they fill the form, book the slot or complete the checkout, with the user's consent, and report back. The first group decides whether you are seen; the second whether you are shortlisted; the third whether the enquiry or the order actually arrives.

Each one is a conversion event you can win or lose, and each is lost for reasons that look nothing like the reasons humans leave. A human forgives a phone number rendered as an image; an agent cannot dial it. A human will fight through a six-step quote wizard if the price is right; an agent abandons at step two because it cannot see where the steps end.

The agent-ready checklist

These are the items we check on client sites, in the order they usually matter. Most take an afternoon.

1. Every decision fact as text. Price or range, service area, hours, response time, what is included, what is not. If it is on a slide or an image, write it down in HTML too.
2. One Organization node, consistent everywhere. Name, phone, email and area served identical in JSON-LD, footer and contact page. One phone format. Search Converts publishes one @id and one number for exactly this reason.
3. A stated offer on every money page. What you do, for whom, at what price point, and what happens after they contact you, written as a short "Direct answer" paragraph near the top.
4. A simple, labelled form. Native inputs with label for, name attributes that mean something (phone, not field_7), four to five fields, no CAPTCHA before the first attempt, and a plain success state.
5. Actionable contact links. tel: and mailto: or a booking URL present in the HTML, not injected only after a click.
6. Availability or response time stated. "A person replies within one business day" is enough for a service business; a store needs delivery dates; a clinic needs next available appointment.
7. Machine-readable summaries. An llms.txt, and where it is worth it, a small JSON file describing services, pricing and contact. Ours are documented at /api/.
8. Schema actions where they are true. potentialAction with a CommunicateAction for calling, a ReserveAction for a real booking endpoint, an OrderAction for a checkout. Never declare an action the site cannot complete.
9. No fake gates. Agents report what they find. A "free guide" that requires a phone number and triggers a sales call is reported as a gate, and the user is steered elsewhere.
10. Measure agent traffic separately. Known agent user agents and referrers in a separate analytics segment, so you can see whether they convert and where they stop.

What this does to human conversion

Every item on the checklist also helps a person. Stated prices reduce bounce from price-sensitive visitors who would have left anyway and raise the quality of the leads who stay. Labelled, short forms complete more often. A consistent phone number is tapped more often. In our own conversion work the overlap is almost total, which is why we treat agent readiness as part of conversion rate optimization rather than a separate project. The one genuinely new habit is writing the direct answer: a two or three sentence paragraph under the headline that states what you do, for whom, and on what terms. Humans skim it; agents quote it.

Where it matters most is the middle of the funnel. An agent that shortlists you and then hands the user a phone number has done your lead generation; whether that becomes a customer depends on how fast a human picks up (or an AI sales agent that replies in seconds when nobody can) and whether the call is counted at all.