AI Technical Documentation Tool
What is GitBook AI and what does it include for documentation?
GitBook AI is the AI-native documentation platform from GitBook. It brings together key components to help your docs stay accurate, up-to-date, and AI-friendly, including GitBook Agent, an embedded AI Assistant, LLMS.TXT and MCP support, a best-in-class visual editor with AI linting, and a tightly integrated Git syncing workflow. It unifies product updates, community feedback, and on-team knowledge into a connected knowledge layer that lives in your docs and your product.
How does GitBook Agent work and what does it do for my docs?
GitBook Agent is a proactive companion that monitors your documentation and suggests improvements to ensure users always find accurate information. It learns from support tickets, changelogs, and repositories, and it proactively generates improvements that your team can review and publish.
What is LLMS.TXT & MCP and why does it matter for AI tools?
LLMS.TXT and MCP are built-in capabilities designed to help ensure your product is mentioned by AI tools. This helps your docs appear in AI-assisted contexts with tools like ChatGPT, Claude, and Google Overview, by providing proper metadata and source connectivity.
What is the Embedded AI Assistant and how can my users benefit from it?
The Embedded Assistant is a connected, personalized AI assistant delivered inside your product. It provides personalized answers to users, powered by your documentation and any other sources you connect via MCP, helping users find answers faster without leaving your product.
How does Git Sync work and why is it valuable for my team?
Git Sync enables a seamless, multi-source workflow by keeping edits synchronized with GitHub or GitLab. You can edit in the visual editor, in your IDE, or both, and all changes stay in sync with your codebase, ensuring collaboration across teams and maintaining high-quality documentation.
What is the Visual Editor and what features does it offer?
The Visual Editor provides a best-in-class editing experience with built-in AI linting tools to correct and polish your content. It supports reviews and merge rules to help teams collaborate effectively while maintaining content quality.
How does GitBook handle access control, security, and compliance?
GitBook offers:
- Access control with tiered roles and permissions to determine who can view or edit content.
- Security and compliance with SOC 2, ISO 27001, and GDPR alignment, plus SAML-based SSO to meet security and data requirements.
- Auth-protected content so only authorized users can view your docs.
What about migration, deployment, and onboarding support?
GitBook provides white-glove migration, 1:1 support and training, and custom integrations to help you get up, running, and scaling quickly.
How can I start using GitBook AI or request a demo?
You can start for free and book a meeting or request a demo to see GitBook AI in action. There are options to initiate a free trial or speak with the team to tailor a rollout plan for your organization.
What integrations and connections are supported?
GitBook supports:
- Git integration for syncing with GitHub and GitLab.
- MCP-based connections to bring in various sources such as support tickets, changelogs, and other internal knowledge sources, enabling a unified knowledge layer across docs and product experiences.
