
Documentation.AI
Documentation.AI – AI-Optimized Product & API Documentation Platform
About Documentation.AI
Documentation.AI is a modern documentation platform designed to help software teams create, manage, and publish beautiful, AI-ready product and API docs with minimal setup. It focuses on developer experience and AI optimization, so documentation can serve both humans and large language models as a single, trusted source of truth. Teams can work in a visual web editor or use a docs-as-code workflow with Markdown/MDX stored in Git, making it easy to integrate documentation into existing development pipelines and IDE workflows. The platform emphasizes speed and polish, shipping pixel-perfect, responsive, and accessible pages that are optimized for performance and SEO out of the box.
A key differentiator is its deep support for AI agents and LLMs. Documentation.AI automatically generates an llms.txt endpoint so AI tools can reliably discover and ingest documentation, and it exposes MCP (Model Context Protocol) endpoints so agents can pull the latest specs in real time rather than relying on stale training data. This makes the docs instantly useful inside AI chatbots, coding assistants, and in-product overlays, enabling context-aware agents that always reference up-to-date information. An embedded agentic AI assistant lets end users ask questions directly inside the docs and receive cited answers, reducing support tickets and accelerating onboarding.
The platform also includes an interactive API playground, analytics, feedback collection, and planned AI drafting workflows for detecting changes and proposing doc updates. Teams can get started on a free Starter plan with one editor seat and core AI and SEO optimizations, then grow into paid tiers that add more editor seats, higher AI assistant limits, advanced permissions, preview deployments, and enterprise-grade support. Overall, Documentation.AI turns documentation into a continuously updated, conversion-focused, and AI-native asset for modern product teams.
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Key Features
- AI-optimized docs with llms.txt and MCP Documentation.AI structures content for precise LLM chunking, auto-generates an llms.txt index, and provides MCP endpoints so AI agents and chatbots can reliably consume up-to-date docs.
- Embedded agentic AI assistant An in-doc AI assistant answers user questions with citations directly inside the documentation, helping users self-serve and reducing support load.
- Powerful authoring and docs-as-code workflow Teams can write in a Notion-style web editor or in Markdown/MDX stored in Git, with drag-and-drop blocks, templates, and integrations to tools like GitHub, Slack, Jira, and Linear.
Use Cases
- Product and API documentation hub Centralize product guides, API references, and how-to content in a fast, polished portal that serves both customers and internal teams while remaining AI-ready by default.
- AI-assisted customer support and onboarding Let users ask questions inside the docs, get instant, cited answers from the embedded assistant, and use analytics to see what they search for and where they drop off.
- Developer-focused docs-as-code for engineering teams Keep docs versioned in Git alongside code, use IDE and CI workflows to keep them current, and expose them to coding agents via MCP for code-aware assistance and integrations.