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Agent Readiness Checker

See how AI agents like ChatGPT, Comet, and Gemini perceive your site

Free tool

Check your Agent-Ready score

Takes ~5 seconds

Checks 4 agent-UX signals: <main>/<nav> landmarks, form labels, and semantic buttons. Based on web.dev agent UX guidelines.

What you get

AI visibility now depends on agents, not just answers. ChatGPT, Comet and Gemini browse the web through the accessibility tree rather than rendered pixels, so a page that looks fine can still be unusable to them. This checker tests the signals Google's agent-UX guidance treats as critical, semantic landmarks, accessible form labels and real buttons, and returns a 0-100 score with weighted fixes. To check whether AI assistants can find and connect to your MCP server, try the Agent Discoverability Score.

  • Score how well AI agents can navigate, fill forms, and act on your page.
  • Spot gaps in landmarks (<main>, <nav>), unlabelled inputs, and div-buttons that disappear in the accessibility tree.
  • Get weighted, actionable fixes: see which checks matter most and exactly how to resolve them.

How it works

  1. Enter any public URL you want to analyse.

  2. The checker fetches the page and inspects 4 agent-UX signals.

  3. Review your Agent-Ready score and per-check guidance for each gap.

Who it's for

  • Marketing teams future-proofing landing pages for ChatGPT and Comet agent traffic.
  • AEO and SEO teams adding agent-UX to their pre-launch QA checklist.
  • Engineering leads adding agent-readiness to their accessibility QA.

This checks one page. PingAura checks your whole site.

ComparedThis free toolPingAura
CoverageOne page at a timePages across your site
HistoryOne-offSaved over time
Follow-upUp to youIssues tracked
AI answersNot trackedMentions and citations
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Used by teams at

CBRE
vivo
SGT University
Airtel Business
Matrix Comsec
iQOO

Customer results

Frequently asked questions

Didn't find your answer? Talk to us

What does Agent-Readiness measure?

It measures how well your page exposes the signals AI agents need to act: semantic HTML landmarks (<main>, <nav>), accessible names on form inputs, and semantic <button>/<a> instead of <div onclick>. These are the factors Google's web.dev agent UX guide flags as the agent equivalent of mobile-friendliness.

How is this different from an AEO score?

AEO measures content discoverability: whether your page is indexable, structured, and citable by answer engines. Agent-Readiness measures whether agents can actually navigate and take action on your page once they arrive. Both matter; this tool focuses on the action-side.

How is this different from a regular accessibility audit?

Most accessibility audits flag dozens of WCAG issues at equal weight. Agent-Readiness focuses on the small set of signals AI agents actually depend on (landmarks, labels, semantic buttons) and weights them by agent impact, so the fixes you make move the needle for both AI agents and assistive tech, not just compliance scores.

Why are landmarks like <main> important?

AI agents and screen readers use landmarks to identify primary content, navigation, and other regions. Without <main>, an agent has to guess where the page's content begins, increasing the chance of acting on the header, sidebar, or unrelated boilerplate. Adding <main> is one HTML tag and improves agent reliability dramatically.

What does "non-semantic buttons" mean?

Many sites build buttons with <div onclick="…"> or <span role="button"> for styling reasons. Those elements are invisible in the accessibility tree, so agents and screen readers don't see them as actionable. Replacing them with native <button> or <a href> elements (styled however you like) makes them discoverable to agents.

Further reading

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Turn this score into a trend

Track your AI visibility every week and see what moves it, instead of checking by hand.

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