Guides for AI-ready documentation

AI assistants, answer engines, and training crawlers now read documentation alongside human readers. These guides help you understand that traffic and prepare your content for it. They are vendor-neutral best practices: you can apply them to any documentation site, whether or not you use EkLine.

Note

These guides cover open standards and industry practices, not EkLine product features. Where EkLine helps with a task, the guide links to the relevant tool.

Monitor AI traffic

Understand which AI bots read your documentation, how to identify them in your logs, and how to measure their activity.

Understand AI traffic to your docs What AI bots and crawlers are, the three categories that matter, and why they affect documentation teams.

Identify AI bots and crawlers A reference of common user-agent tokens by operator, with verification methods.

Monitor AI traffic to your docs Measure AI crawler and referral traffic using server logs, CDN analytics, and web analytics.

Make your docs AI-ready

Configure your documentation site so AI tools can fetch, read, and use your content — and decide which AI systems may access it.

Serve a Markdown version of every page Give each page a clean Markdown version through per-page files, content negotiation, and an HTML discovery tag.

What is llms.txt? The proposed standard, its format, and how it differs from robots.txt and sitemap.xml.

Add an llms.txt file to your docs Create, place, and maintain an llms.txt file, with platform-specific options.

Control AI crawler access Use robots.txt to block training crawlers while allowing AI search and on-demand fetchers.