
AI-native documentation platform for technical teams
GitBook is an AI-native documentation platform designed for technical teams to create, manage, and publish beautiful documentation. It combines a block-based visual editor with seamless Git synchronization, allowing teams to edit docs in a browser or their IDE while keeping everything in sync with GitHub or GitLab repositories. GitBook supports OpenAPI specs, embedded code blocks, and structured content that stays aligned with your codebase. The platform features built-in AI capabilities including AI-powered search that gives visitors instant answers, a GitBook Assistant for interactive chat-based help, and an AI Agent that monitors documentation and proactively suggests improvements. GitBook also provides visitor insights with traffic analytics, search query analysis, and user feedback tracking to help teams identify documentation gaps. GitBook is used by developer-facing companies to publish API documentation, product guides, internal knowledge bases, and help centers. It offers built-in llms.txt and MCP support to optimize documentation for AI discovery, ensuring your product gets mentioned by tools like ChatGPT and Claude.
Block-based documentation editor with rich content blocks, review workflows, merge rules, and built-in AI linting tools
Bidirectional synchronization with GitHub and GitLab so documentation stays in sync with your codebase and can be edited from any environment
Built-in semantic search that gives visitors instant AI-generated answers directly from your documentation content
Interactive chat-based AI agent that can be embedded into published docs or websites to answer user questions in natural language
Native OpenAPI documentation rendering with an interactive API playground for testing endpoints directly in the docs
Analytics dashboard showing traffic, page performance, search queries, AI questions, and user feedback to identify documentation gaps
Customize the look and feel of published documentation with custom domains, logos, colors, and themes to match your brand
Publish interactive API references with OpenAPI spec rendering, code samples, and a built-in playground for developers to test endpoints
Create searchable help centers and product guides with AI-powered search that gives customers instant answers to their questions
Maintain internal engineering wikis, runbooks, and onboarding guides with Git Sync keeping docs aligned with your codebase
Build comprehensive developer portals combining API docs, tutorials, and guides with custom branding and embedded AI assistance
Built-in llms.txt and MCP support to help your documentation get surfaced by AI assistants like ChatGPT, Claude, and Google AI Overview

AI coding assistant with 300+ models and autonomous agents