AI
AgentScan
Production-ready content scan

Make your website
legible to AI agents

AgentScan runs a focused production scan for the signals agents actually use to discover and parse content. You get clear pass/fail outputs and direct implementation prompts for your team.

Included checks

robots.txt
sitemap.xml
Link headers
Markdown negotiation
AI bot rules
Content Signals

Production readiness pillars

Deterministic discovery

Ensure bots and agents reliably find your policy, sitemap, and machine-readable references.

Machine-readable delivery

Support response formats agents can parse predictably, including markdown negotiation.

Explicit AI policy

Define how AI crawlers may access and use content with clear bot directives and signals.

Why this tool exists

Most technical audits treat AI-agent access as a side note. We built this project to make agent-readiness a first-class release concern with a clear, repeatable signal set that can be tested before and after every deployment.

Why this matters in production

AI agents rely on machine-readable policies and content paths to browse safely and summarize accurately. Missing crawl directives, weak discovery signals, or poor negotiation behavior can reduce visibility and break automated flows.

How teams use this scanner

01

Baseline audit

Run the scanner before release to establish a readiness baseline for your domain.

02

Fix and verify

Apply generated prompts, redeploy, and rescan to confirm pass status on target checks.

03

Ongoing QA

Include scans in recurring QA to detect regressions after CMS, CDN, or routing changes.

What makes this content unique

  • Original guidance focused on AI-agent content interoperability
  • Check-by-check operational prompts mapped to real deployment tasks
  • Production-centric language for engineering and platform teams

What this scan does not cover

  • Business logic correctness inside authenticated/private application flows
  • Legal compliance determinations for your jurisdiction or content usage model
  • Comprehensive application security assessment or penetration testing

FAQ

What does this scanner test?

The production profile checks six high-impact signals: robots.txt, sitemap discovery, Link headers, markdown negotiation, AI bot directives, and Content-Signal declarations.

Is this just another generic SEO checker?

No. AgentScan is purpose-built for AI-agent content behavior, not traditional backlink or keyword scoring. It focuses on machine-readable delivery and agent crawl policy.

Do you permanently store scanned URLs?

Results are session-based in your browser for immediate review. You can rescan any public URL at any time.

Who should use this in production?

Engineering, platform, and content teams use it before releases, migrations, and CDN changes to prevent AI-readiness regressions.