What agent readiness actually measures

Four questions, one score

Agent readiness sounds abstract until a model skips your site for a competitor's. AI assistants now answer the question before anyone clicks a result, so readiness decides whether agents can read, trust and use your site.

The methodology lists every check under one of these four headings. The public score counts the core checks only, so a shop and a blog are measured on the same questions.

Fetch

An assistant reaches a site as an unattended HTTP client with no cookies, no JavaScript budget worth the name and no patience for a challenge page. If GPTBot, PerplexityBot or ClaudeBot is blocked in robots.txt, or the edge answers them with a bot wall, nothing downstream matters: the site is simply absent from the answer.

This is also the most common single reason a well-built site scores badly. A bot rule written years ago to keep scrapers out now keeps the buyers' assistant out too.

Read

Fetching returns HTML; reading requires meaning. A model resolves a page far more reliably when the facts are also present as structured data: what the entity is, who publishes it, what it costs, when it changed. Client-side rendering that leaves the server response empty is the equivalent of handing over a blank sheet.

The rubric rewards the machine-readable copy of a claim, not its visual presentation. A price rendered by JavaScript into a styled div is invisible; the same price in Product markup is quotable.

Trust

Assistants hedge. Given two comparable sources they name the one they can attribute: an organisation with an identity, content with a named author, a policy that states what automated clients may do. Attribution is not decoration; it is the reason one of the two gets cited.

Act

The last question is whether an agent can do something beyond reading: follow a feed, call an endpoint, complete a checkout. This is where the score stops being an SEO metric. A site that can only be read is a source; a site that can be acted on is a participant.

Get your own agent-readiness score

Every check described here is in Qomvia's free score, with a fix for each one that fails.

The free scan runs all 26 checks of the agent-readiness score in about a minute and lists every failing check with a copy-paste fix; the free Site monitor re-scans weekly, no signup for the score. The AI monitor then asks your buyers' questions to ChatGPT, Gemini and Grok every day and shows whether you are named, which rival is named instead and which sources the models used. Qomvia Market and the MCP server take it one step further, letting agents act on the recommendation. Sign up free or see plans and pricing.