Product Introduction

1. Dynamic, adaptive documentation is a platform for creating intelligent documentation that automatically adjusts content based on user-specific data such as roles, plans, or behavioral patterns using cookies, feature flags, and SSO integrations.
2. The core value lies in delivering personalized documentation experiences that improve user engagement, reduce support overhead, and drive conversions by aligning content with individual user needs and contextual requirements.

Main Features

1. Adaptive Content Engine: Automatically tailors documentation visibility and structure using audience segmentation, SSO data, and cookies to display role-specific instructions, feature availability, or pricing-tier details.
2. GitBook Assistant: An AI-powered tool that provides contextual answers and completes actions within documentation by leveraging product-specific data and external sources via the Modular Content Platform (MCP).
3. Git Sync & Collaborative Editing: Synchronizes documentation with GitHub/GitLab repositories, enabling teams to collaborate in a WYSIWYG editor or directly in their IDE while maintaining version control and reusable content blocks.

Problems Solved

1. Static Documentation Limitations: Eliminates generic, one-size-fits-all documentation by dynamically adapting content to user attributes, reducing confusion and irrelevant information.
2. Target User Groups: Serves technical teams, product managers, and enterprises needing to scale user onboarding, support, and feature adoption across diverse audiences.
3. Use Case Scenarios: Enables personalized onboarding for enterprise users, context-aware API guides for developers, and tier-specific feature explanations for SaaS customers.

Unique Advantages

1. Deep Integration with Product Data: Unlike static documentation tools, GitBook directly integrates with user databases and SSO systems to apply real-time role/plan-based content filtering without manual updates.
2. AI-Driven Actionability: The GitBook Assistant uniquely combines product-specific data and MCP-connected external sources to answer queries and execute tasks (e.g., generating API keys) within the documentation interface.
3. Unified Workflow Optimization: Combines adaptive content delivery, Git-based collaboration, and AI analytics in a single platform, avoiding the need for disjointed SEO tools or external CMS integrations.

Frequently Asked Questions (FAQ)

1. How does content adaptation work without coding? GitBook uses no-code rules based on user attributes (e.g., SSO roles, cookies) to hide/show content blocks, ensuring documentation remains updated automatically as user data changes.
2. Can GitBook integrate with existing authentication systems? Yes, it supports SSO providers like Okta and Azure AD to segment content access and personalize experiences based on authenticated user profiles.
3. What data sources power the AI Assistant? The Assistant uses product-specific data (e.g., user roles), GitBook’s MCP for external API connections, and documentation content to generate responses with actionable context.
4. Is there a limit to customization for branded docs? GitBook offers extensive theming options, including CSS overrides, custom domains, and reusable templates, while maintaining adaptive functionality.
5. How does the translation feature work? The upcoming one-click translation tool localizes entire documentation sites using AI, preserving adaptive logic and user-specific content targeting across languages.