Report card

Do AI agents pick GitBook?

How often agents choose GitBook when a developer needs documentation platforms — measured across Claude, GPT, Gemini.

GitBook

#8 of 9 docs platforms
0%Pick Rate
95% CI 0%1%

When developers ask an AI agent for docs platforms, GitBook is picked 0% of the time — ranking #8 of 9 measured across Claude, GPT, Gemini.

Picked 0% Named, not picked 21% Never surfaced 79%

Beaten by Redocly (9%), Docusaurus (8%), Nextra (7%), Scalar (5%), Mintlify (4%), ReadMe (4%), Starlight (0%).

Awareness

0 docs in FineWeb (10BT sample) · 2.0K URLs in Common Crawl

In the raw web crawl, but thin in the filtered corpus models actually train on — an awareness gap at the source.

Agent readiness

Level 1 · Basic Web Presence · 4/16 agent standards

GitBook is missing Link headers, DNS-AID records, Content Signals, API catalog. Readiness is what a site publishes for agents, not whether agents pick it — across our corpus the two barely correlate. Scored by Cloudflare's Agent Readiness score.

Get the full report

The per-model and per-surface breakdown for GitBook — where it wins, where it loses, and to whom — plus an alert when the Pick Rate moves.

About GitBook

A tool for building documentation and books from Markdown or AsciiDoc files stored in Git repositories.

GitBook takes Markdown or AsciiDoc content organized in a Git repository and generates static websites or ebooks (PDF, ePub, MOBI). It supports multi-language books, glossaries, templating with variables, content includes, and a plugin system. It is aimed at developers and technical writers who want to produce structured documentation or books from plain-text source files.

Where to start

Initialize a new book with a SUMMARY.md defining its structure, then use the command-line tool to serve or build the output. Books can also be published and hosted on the GitBook platform.

Install

Links and summary verified from public sources.

The rest of the Documentation Platforms ranking

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