Documentation.AI

About Documentation.AI

Documentation.AI is a documentation and knowledge base platform built for teams that want their docs to stay current without a dedicated writer chasing every merge. Authoring works two ways at once: a visual web editor for people who do not want to touch Git, and a full docs-as-code path with branches, pull requests and preview builds for those who do, alongside live collaborative editing, inline comments and mentions. The differentiating layer is automation. An AI documentation agent runs workflows in the background and drafts the changes itself, triggered by a code merge or a schedule, pulling from code, changelogs and user feedback through connectors to GitHub, GitLab, Jira and Confluence. Publishing covers OpenAPI-driven API reference with a live try-it playground, access control via SSO, JWT, OAuth 2.0 and roles, versioning, localisation, and custom domains or subpaths. The AI access story is unusually explicit and is where the product intersects the GEO conversation: an in-docs AI assistant returns cited answers scored by confidence, a Reader MCP server exposes the docs to the customer's own AI tools, an Authoring MCP server lets the team write docs from Cursor or Claude Code, and llms.txt output is generated for model discoverability. Analytics report traffic, page ratings, and specifically the questions the AI assistant answered with low confidence — a direct signal of which pages are missing.

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