Playbook
llms.txt for AI discovery for Teams app companies
A practical playbook for workplace marketers to improve llms.txt—with checks, fixes, and measurement.
Why llms.txt matters in Microsoft Teams apps
workplace 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 Microsoft Teams apps, common blockers include: Product docs are behind login walls; robots.txt blocks AI search bots unintentionally; Comparison queries cite review sites instead of the brand. Incumbents and well-documented review sites often dominate AI answers until you publish crawlable comparison content.
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
Microsoft Teams apps-specific page priorities
- Changelog — ensure this URL is crawlable HTML with facts assistants can quote when answering “best Microsoft Teams apps for teams evaluating options”
- Status page — ensure this URL is crawlable HTML with facts assistants can quote when answering “best Microsoft Teams apps for teams evaluating options”
- Architecture overview — ensure this URL is crawlable HTML with facts assistants can quote when answering “best Microsoft Teams apps 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 Teams app companies.
Measure with BatSignal
- Run a Visibility Scan on your Microsoft Teams apps 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
- Microsoft Teams apps hub
- crawl access for Microsoft Teams apps
- content readiness for Microsoft Teams apps
- ChatGPT citations for Microsoft Teams apps
- robots.txt AI policy for Microsoft Teams apps
- llms.txt for AI discovery
- All industries
FAQ
What is llms.txt for Teams app companies?
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 Microsoft Teams apps, this shows up when buyers ask “best Microsoft Teams apps 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 Changelog, Status page, Architecture overview.
How does BatSignal score this?
Content readiness / discovery signals. See the [methodology](/methodology) and related guide: /guides/llms-txt.