Playbook
llms.txt for AI discovery for RUM vendors
A practical playbook for performance marketers to improve llms.txt—with checks, fixes, and measurement.
Why llms.txt matters in real user monitoring
performance 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In real user monitoring, common blockers include: Pricing is unclear to crawlers; llms.txt is missing or outdated; Share of voice lags larger incumbents. 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
real user monitoring-specific page priorities
- Product overview — ensure this URL is crawlable HTML with facts assistants can quote when answering “best RUM tools for teams evaluating options”
- Security / trust — ensure this URL is crawlable HTML with facts assistants can quote when answering “best RUM tools for teams evaluating options”
- Comparison pages — ensure this URL is crawlable HTML with facts assistants can quote when answering “best RUM tools 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 RUM vendors.
Measure with BatSignal
- Run a Visibility Scan on your real user monitoring 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
- real user monitoring hub
- crawl access for real user monitoring
- content readiness for real user monitoring
- ChatGPT citations for real user monitoring
- robots.txt AI policy for real user monitoring
- llms.txt for AI discovery
- All industries
FAQ
What is llms.txt for RUM vendors?
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 real user monitoring, this shows up when buyers ask “best RUM tools 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 Product overview, Security / trust, Comparison pages.
How does BatSignal score this?
Content readiness / discovery signals. See the [methodology](/methodology) and related guide: /guides/llms-txt.