Playbook
llms.txt for AI discovery for e-discovery platforms
A practical playbook for legal tech marketers to improve llms.txt—with checks, fixes, and measurement.
Why llms.txt matters in e-discovery
legal tech 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 e-discovery, common blockers include: Buyers ask AI assistants before visiting vendor sites; Category pages are thin or JS-only; Competitors appear in ChatGPT answers for “e-discovery tools” first. Category leaders win citations when their public pages answer buyer questions more clearly than yours.
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
e-discovery-specific page priorities
- Product overview — ensure this URL is crawlable HTML with facts assistants can quote when answering “best e-discovery tools for teams evaluating options”
- Security / trust — ensure this URL is crawlable HTML with facts assistants can quote when answering “best e-discovery tools for teams evaluating options”
- Comparison pages — ensure this URL is crawlable HTML with facts assistants can quote when answering “best e-discovery 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 e-discovery platforms.
Measure with BatSignal
- Run a Visibility Scan on your e-discovery 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
- e-discovery hub
- crawl access for e-discovery
- content readiness for e-discovery
- ChatGPT citations for e-discovery
- robots.txt AI policy for e-discovery
- llms.txt for AI discovery
- All industries
FAQ
What is llms.txt for e-discovery 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 e-discovery, this shows up when buyers ask “best e-discovery 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.