The Agentic Browsing tab

The Agentic Browsing tab checks whether an AI browser agent can reach your page, read its controls, and operate the actions on it — not just read the text. It returns a readiness verdict, never a score.

What this tab checks

A new wave of AI browsers — ChatGPT Operator, Claude computer use, Perplexity Comet, Edge’s Copilot Mode — doesn’t only read the web. It drives a real browser and operates pages to finish a task for a person: signing up, booking, checking out. Agentic Browsing checks whether one of these agents could actually use your page, and it answers three questions:

  1. Can the agent get in? Whether a login wall, a bot challenge (reCAPTCHA, hCaptcha, Turnstile), or a hard block stops an agent before the task starts.
  2. Can it perceive the controls? Whether the buttons, links, and form fields carry accessible names an agent can identify and target. A control with no name is invisible to an agent even when a person can plainly see it.
  3. What’s in the way? Cookie and consent overlays, modals, and interstitials — and whether each one is dismissible or genuinely ends the run.

Those roll up into a single readiness verdict: Ready, Needs work, Read-only, or Blocked.

Why it matters

A page can render perfectly, read perfectly, and still be unusable by an agent. The form submits fine for a person but its button has no accessible name; a cookie wall sits in the way; a bot challenge blocks the door. On the pages where agents matter most — the ones with an action — that gap is traffic and conversions quietly routing to a competitor whose flow an agent can operate. None of it shows up in an ordinary technical scan, because the page renders fine.

How to read the results

The tab is deliberately scoreless. It returns a status and a pass-ratio, not a 0–100 number, and it never moves your AI Visibility Score — the same way Chrome’s Lighthouse treats agentic readiness: a diagnostic to act on, not a grade.

  • The verdict leads with the single thing that matters most and one ranked next step. When access is the blocker, it points you to the AI Crawlability tab, which owns getting in.
  • Access / Controls / Blockers each show a short status. Controls shows a pass-ratio like “5 of 5 named” — a count of what’s ready, not a graded score.
  • Evidence behind a toggle lists the specific controls and overlays found, so a fix is concrete: this button has no name, this overlay blocks the flow.

A Read-only verdict is not a failure. A page with no meaningful actions — an article, a policy page — correctly comes back Read-only. Not every page needs to be operable.

Common issues

  • A control has no accessible name. Give the button, link, or field a clear label (visible text, an aria-label, or an associated <label>) so an agent can target it.
  • A consent or cookie overlay blocks the flow. If it can’t be dismissed, an agent can’t get past it. Make the accept/dismiss control reachable and named.
  • A bot challenge or login wall blocks access. This is an access problem first — see the AI Crawlability tab. A challenge that stops a crawler usually stops an agent too.
  • The verdict is Read-only when you expected actions. The page has no controls an agent would operate. If it should have an action (a form, a cart), check that the control renders in the page an agent sees, not only after a later interaction.

For a fuller explanation, see What is Agentic Browsing and Why It Matters or the Agentic Browsing feature page.