AgentReady audits your site across 20+ technical and semantic signals — structured data, agent authentication, llms.txt, crawlability — and gives you a precise score with a step-by-step fix plan.
No setup, no account needed. Get your full readiness report in under 30 seconds.
Paste any public URL into our analyzer. We accept full domains, subpages, and staging environments.
Our engine audits robots.txt, llms.txt, structured data, API specs, auth flows, sitemap freshness, and more.
Receive a precise 0–100 score and an ordered fix-it playbook — specific steps, not vague advice.
No account required — instant results
AI agents are browsing the web on behalf of users. Be ready before your competitors are.
We audit every technical and semantic layer AI agents check — robots directives, llms.txt, JSON-LD, OpenAPI specs, authentication patterns, and sitemap freshness.
Create a standards-compliant llms.txt for your site in seconds — the emerging spec that tells AI agents exactly how to read your content.
Compare your AgentReady score against top competitors and industry averages to see exactly where you rank.
AgentReady tracks your score over time and alerts you when you regress or when new agent signals emerge.
Every failing check has a specific, implementable fix — exact code snippets and config examples, not vague advice.
Integrate AgentReady scoring into your deployment pipeline — automatically gate releases on agent readiness scores.
Rafael Torres is a web infrastructure engineer who spent a decade at Cloudflare and Fastly working on web standards and crawling protocols before the AI agent revolution made his passion project urgent. With a background in distributed systems and machine-readable content, he saw the emergence of AI agents as a fundamental shift in how the web would be accessed.
He is a contributor to the llms.txt specification, a member of the W3C Web Agents working group, and a frequent speaker at WebSummit and O'Reilly Velocity.
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Whether you're evaluating enterprise plans, curious about the API, or want to report an issue with our analysis — reach out and we'll get back within one business day.