Deterministic discovery
Ensure bots and agents reliably find your policy, sitemap, and machine-readable references.
Production-ready content scan
Free AI Agent Readiness Scanner for Websites
Check whether ChatGPT, Claude, Perplexity, Googlebot, and other AI crawlers can discover, fetch, and parse your website. AgentScan returns clear pass/fail results with implementation prompts.
Included checks
robots.txt
sitemap.xml
Link headers
Markdown negotiation
AI bot rules
Content Signals
Free tools
17 focused utilities for AI agent readiness, all free, no signup.
robots.txt Generator
GeneratorsBuild a robots.txt with explicit rules for AI crawlers like GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. Presets, sitemap line, copy-ready output.
robots.txt Tester
ValidatorsCheck robots.txt rules for any URL path and crawler. Paste the file, choose a user agent, and test whether access is allowed using Google's matching behavior.
Structured Data Validator
ValidatorsPaste JSON-LD or a script tag and validate schema.org structure, required fields per type, and rich result eligibility for Article, FAQPage, BreadcrumbList, and more.
sitemap.xml Validator
ValidatorsPaste a sitemap.xml and validate the structure, URL count, oversize warnings, lastmod date format, changefreq enum, priority range, and per-URL field issues.
Feed Validator
ValidatorsPaste an RSS or Atom feed and validate the structure, required elements, dates, and uniqueness. Links out to the W3C Feed Validation Service for an authoritative check.
llms.txt Generator
GeneratorsCreate an llms.txt that gives autonomous agents a structured map of your most important pages and APIs. Sections, links, and short summaries in markdown.
From the blog
Practical writing on AI agent readiness and technical SEO.
Guides
ChatGPT visibility checklist for websites
How to make a public website easier for ChatGPT-style tools and AI agents to discover, fetch, parse, and cite without relying on unsupported tricks.
Strategy
Query fan-out SEO: how to write for AI Mode
Google's AI search can expand one prompt into many related searches. Here is how to structure content for query fan-out without creating thin duplicate pages.
Strategy
AI Overviews SEO checklist for 2026
Google says AI Overviews and AI Mode still depend on core Search systems. Here is the practical checklist for crawlability, content quality, snippets, and source eligibility.
Production readiness pillars
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.