Multi-surface documentation platform
Create product docs, knowledge bases, API references, and help centers from one platform, with surfaces for product guides, changelogs, AI assistant experiences, and AI workflows.
Documentation.AI
ReivindicarDocumentation.AI is AI documentation and knowledge base software for product, developer, and support teams. It helps create and maintain docs, knowledge bases, API references, and help centers with AI-assisted editing and in-doc answers.
Overview
Documentation.AI is an AI documentation and knowledge base platform for teams that need to create, publish, and maintain product docs, help centers, API references, and internal or external knowledge bases in one place. The site positions it as a knowledge infrastructure layer for both AI agents and humans.
Its core job is to keep documentation current and easy to use. The product combines a web editor, docs-as-code support, an AI Documentation Agent, and an in-doc AI assistant so teams can draft updates, structure content for retrieval, and surface answers directly where readers need them.
Features
Web editor with AI-assisted drafting
Use the web editor to create and update docs with drag-and-drop blocks, slash commands, AI-assisted rewriting, and structured publishing.
Docs-as-code workflow
Write in Markdown or MDX, keep content in Git, and work alongside coding tools with MCP so documentation can move with the codebase.
Embedded AI assistant
Let readers ask questions inside the docs and receive cited answers, or use the AI assistant outside the docs on supported plans.
AI-ready content structure
Organize content for AI and search with structured headings, code blocks, parameters, llms.txt, and MCP-friendly output.
Analytics and feedback signals
Track page views, search terms, drop-offs, and user feedback to find content gaps and improve documentation.
Use cases
Product documentation
Create feature guides, release notes, onboarding materials, and changelogs that stay aligned with product changes and can be updated with AI assistance.
Developer documentation
Publish API references, SDK docs, tutorials, and engineering guides using Markdown, MDX, Git workflows, and schema-driven pages.
Customer support knowledge base
Build a searchable help center with FAQs, troubleshooting articles, and an embedded AI assistant to help customers find answers faster.
Internal knowledge base
Maintain internal documentation or team knowledge bases where AI search, structured content, and up-to-date answers matter for onboarding and day-to-day operations.
Documentation optimization
Let product, support, and engineering teams review page views, search terms, drop-offs, and feedback to prioritize documentation fixes.
Pros and Cons
Pros
- Combines authoring, publishing, search, and AI assistance in a single platform.
- Supports both a visual editor and Markdown/MDX docs-as-code workflows.
- Includes MCP support for coding agents and editor-based documentation updates.
- Offers plan-based features for private docs, analytics, permissions, and enterprise identity controls.
Cons
- Several capabilities are marked as coming soon, including change monitoring and some external-source features.
- Public source material is lighter on technical implementation details than on product positioning, so some workflow specifics are not fully documented on the site.
FAQ
What is Documentation.AI?
Documentation.AI is a documentation and knowledge base platform with AI-assisted writing, an AI assistant for readers, and workflows to keep content current. The pricing page shows a free Starter plan plus paid Standard, Pro, and Enterprise plans.
Can teams use Documentation.AI with docs-as-code workflows?
The site says you can use the web editor or docs-as-code workflows, including Markdown/MDX and Git-based updates. It also mentions MCP support so coding agents like Cursor, Windsurf, or Copilot can work with live documentation context.
What kinds of documentation can it support?
The homepage lists product guides, API reference, help center, changelog, AI assistant, AI agent, and AI workflows as core surfaces. The pricing page also mentions an API playground, PDF export, analytics, authentication, and integrations on higher plans.
How does pricing and packaging work?
The pricing page indicates Starter includes core documentation tools and AI credits, while Standard adds password-protected docs, external sources for the AI assistant, PDF export, and Slack support. Pro adds private docs, advanced analytics, role-based permissions, and priority support; Enterprise adds SSO, SCIM, and custom support terms.
Are there any limitations or features still in progress?
Some capabilities are described as coming soon, including automatic monitoring of product changes, doc drift detection, and certain external-source and assistant embedding features. The site also presents the product primarily through marketing pages rather than detailed technical documentation.
Quick Facts
- Category
- AI documentation and knowledge base software
- Platform
- Web app with docs-as-code support
- Primary users
- Product teams, developers, and support teams
- Source domain
- documentation.ai
- Pricing signal
- Free Starter plan plus paid Standard, Pro, and Enterprise plans
- Core workflows
- Web editor, AI agent, AI assistant, API playground, MCP
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