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Instantly Score Your Page's Agentic Browsing Readiness

Enter a URL and get your readiness score. The report surfaces your top blocker and prioritizes fixes so agents can reach, read, and interact with your page.

• See a snapshot of how AI reads your site
• Get a plain-language summary of what is holding the page back
• Check up to three pages per day, free

Check Whether AI Agents Can Reach Your Page

AI agents need the right signals to reach your page. The report checks key access signals and flags what is getting in the way.

• Check for explicit AI crawler rules
• Verify the right access signals are in place
• Confirm sitemaps and page resources are reachable
• See which access checks are passing or failing

See If AI Agents Can Read and Interact With Your Page

Small markup gaps can stop agents from interacting with your page. The report checks every interaction signal and flags what needs fixing.

• Flag hidden interactive elements and navigation gaps
• See which interaction checks pass or fail
• Spot controls agents can't read or use
• Get fixes for every flagged issue

Check Page Stability and Rendering for AI Agent Use

Rendering issues can cause agents to misread or abandon a page. The report checks stability signals and flags what needs fixing.

• Check whether the layout stays stable during agent interactions
• Confirm key content is available without rendering JavaScript
• Flag rendering issues that could cause agents to fail

AI Agent Readiness FAQ

Is the Agentic Browsing Readiness Checker free to use?

Yes the agentic browsing readiness checker is free to use. You get three free checks per day. No account or credit card required. Enter a URL and click "Get Free Report."

What does the Agentic Browsing Readiness Score measure?

The agentic browsing readiness score reflects how easy it is for AI agents to reach, read, and interact with a page. It checks agent access signals (robots.txt, HTTPS, indexability), machine-readable guidance (JSON-LD schema, llms.txt), agent interaction UX (form labels, accessible names, navigation structure), and page stability (Core Web Vitals, rendering).

What are the two sub-scores?

Agent Access & Readability measures whether agents can reach the page and read its content. Agent Experience & Stability measures whether agents can interact with the page reliably, including accessible controls, form labels, layout stability, and rendering speed.

What is agentic browsing?

Agentic browsing is when an AI system navigates, reads, and interacts with web pages on a user's behalf. These systems follow links, fill forms, and extract information. Pages that are not set up for agents can block them, confuse them, or return incomplete results.

What does the checker actually test?

It runs 21 Lighthouse-inspired checks across four areas: agent access (robots.txt, HTTPS, sitemaps, canonicals), machine-readable guidance (JSON-LD schema, llms.txt, WebMCP signals), agent interaction UX (accessible names, form labels, navigation structure), and stability and rendering.

What is llms.txt and do I need it?

llms.txt is an optional file you can add to your site root to point AI systems to your most important URLs and topics. It is not required for a high readiness score, but the checker flags whether one exists so you can decide if it is worth adding.

How is this different from a standard accessibility audit?

This checker is focused on AI agent usability, not human accessibility. It borrows some accessibility signals, like labeled form fields and accessible button names, because agents rely on the same markup to interact with pages. But it also checks signals specific to agents, like robots.txt AI crawler rules, raw HTML readability, and llms.txt.

What is a good Agentic Browsing Readiness Score?

There is no fixed benchmark, but higher scores can mean agents can reach, read, and interact with your page more reliably. The report shows exactly which checks are passing and which are failing so you can see what is pulling your score down.

What should I fix first?

Start with access blockers, robots.txt restrictions, missing HTTPS, or noindex tags that prevent agents from reaching the page. Then, address agent interaction issues like unlabeled buttons and form fields. Stability and rendering issues like slow LCP or poor INP can be tackled after the critical access and interaction gaps are resolved.