llms.txt checker for SaaS
Check whether your SaaS gives AI crawlers the pages they need.
Run a free public-domain diagnostic to see whether llms.txt, sitemap, crawler access, and citation assets point answer systems toward useful public pages.
What you will see
A short list of gaps your team can actually fix.
llms.txt availability
Check whether the file exists, returns readable plain text, and avoids private URLs or internal metadata.
Public-page coverage
See whether important product, pricing, docs, FAQ, comparison, and proof pages are easy to find.
Crawler access
Review sitemap, robots, and rendered-page signals that affect whether public content can be read.
First fixes
Prioritize the content and navigation fixes that make the agent profile more useful without promising citations.
Safe vs unsafe guidance
Keep llms.txt useful without leaking operational surfaces.
The checker should treat llms.txt as public retrieval guidance. It should improve discovery of sourceable pages while excluding anything private, tokenized, or operational.
Safe
Canonical links to homepage, product, pricing, docs, FAQ, comparison, proof, guides, and public resource pages.
Unsafe
Protected report URLs, owner keys, API routes, payment flows, scan query pages, internal metadata, and customer-specific evidence.
First validation
Fetch /llms.txt, confirm plain text, check every listed URL is public, and compare the list against sitemap and navigation.
Who it is for
Built for founders and marketers deciding what to fix next.
- SaaS founders adding AI crawler guidance without exposing private routes
- AI tool founders whose docs and pricing pages are hard to discover
- SEO and GEO consultants validating client agent profiles
- Growth agencies building a repeatable technical-readiness checklist
Evidence limits stay visible
This diagnostic does not prove official ChatGPT, Perplexity, or Google AI Overview ranking. llms.txt is retrieval guidance for public pages, not a guarantee that AI answers will mention or cite your SaaS.
Keep going
Connect the checker, pricing, sample report, and audit standard.
FAQ
Common questions before you scan.
Does llms.txt guarantee AI answers will cite my SaaS?
No. llms.txt can help describe public pages and retrieval guidance, but it does not guarantee citation, recommendation, or ranking in any AI answer product.
What should an llms.txt checker look for?
It should confirm that the file exists, returns plain text, links only public pages, avoids private data, and points crawlers toward product, docs, pricing, comparison, proof, FAQ, and guide pages.
Should I include private reports or API routes?
No. Keep protected reports, payment links, API routes, tokens, customer data, and internal operational details out of llms.txt. Link only to public pages that should be read or cited.
What should I fix first?
Start by making the important public pages crawlable and specific. Then use llms.txt as a clean table of contents that points to those pages without stuffing keywords or unsupported claims.