Use case
API platform documentation
For API product marketers: Ensure assistants quote correct endpoints, auth, and limits from canonical docs.
Goal
Ensure assistants quote correct endpoints, auth, and limits from canonical docs.
Common triggers
- AI invents API shapes
- Reference docs are interactive-only
- Changelog is not indexable
Outcomes
- Static reference pages
- llms.txt priority on docs roots
- Lower hallucination on API how-tos
First step
Expose crawlable reference HTML and link it from llms.txt.
Related reading: measure AI visibility, buyer-intent content, pricing.
Related
FAQ
Who is this for?
API product marketers. Goal: Ensure assistants quote correct endpoints, auth, and limits from canonical docs.
What outcomes should we expect?
Static reference pages llms.txt priority on docs roots Lower hallucination on API how-tos
What is the first step?
Expose crawlable reference HTML and link it from llms.txt.