Playbook
llms.txt for AI discovery for identity platforms
A practical playbook for identity product marketers to improve llms.txt—with checks, fixes, and measurement.
Why llms.txt matters in identity
identity product marketers cannot win AI shortlists on content alone if llms.txt is broken. llms.txt is a root-level orientation file that summarizes your product, key URLs, and citation preferences for AI systems—without replacing crawlable pages.
In identity, common blockers include: Integration and security pages are PDF-only; Canonical host inconsistency splits crawl equity; Assistants quote outdated feature claims. Directories and affiliate roundups frequently outrank product sites in AI retrieval unless you ship first-party evidence.
What to check
- /llms.txt present at the site root with an accurate product summary
- Optional /llms-full.txt for longer documentation
- Links to pricing, docs, and canonical product pages
- Consistency between llms.txt claims and live page content
identity-specific page priorities
- Solutions by persona — ensure this URL is crawlable HTML with facts assistants can quote when answering “best identity platforms for teams evaluating options”
- Industry examples — ensure this URL is crawlable HTML with facts assistants can quote when answering “best identity platforms for teams evaluating options”
- Support docs — ensure this URL is crawlable HTML with facts assistants can quote when answering “best identity platforms for teams evaluating options”
Fix guidance
Ship a truthful llms.txt, keep it updated after launches, and still maintain crawlable HTML for every URL you list.
Deep dive: llms.txt for AI discovery. Industry hub: AI visibility for identity platforms.
Measure with BatSignal
- Run a Visibility Scan on your identity site
- Inspect the pillar tied to llms.txt
- Ship the prioritized fixes and copy-paste deliverables
- Re-verify within 30 days to confirm movement
Related
- identity hub
- crawl access for identity
- content readiness for identity
- ChatGPT citations for identity
- robots.txt AI policy for identity
- llms.txt for AI discovery
- All industries
FAQ
What is llms.txt for identity platforms?
llms.txt is a root-level orientation file that summarizes your product, key URLs, and citation preferences for AI systems—without replacing crawlable pages. For identity, this shows up when buyers ask “best identity platforms for teams evaluating options” and when AI crawlers attempt to fetch your commercial pages.
How do we improve llms.txt?
Ship a truthful llms.txt, keep it updated after launches, and still maintain crawlable HTML for every URL you list. Industry-specific must-have pages include Solutions by persona, Industry examples, Support docs.
How does BatSignal score this?
Content readiness / discovery signals. See the [methodology](/methodology) and related guide: /guides/llms-txt.