Document360

Document360

AI-native knowledge base software that connects your docs to ChatGPT, Claude, and Copilot through an MCP Server.

69/100MonitorCustom pricingContact Sales

If you want your documentation to be quotable by ChatGPT, Claude, and Copilot without you babysitting it, Document360's MCP Server is the most concrete reason to shortlist it — it is the one feature here that static wiki tools simply do not have. Eddy AI Search with source citations plus the Support Ticket Deflector and Pro Analytics make it a real operational upgrade over Confluence or SharePoint for support-driven teams. The trade-offs are structural: pricing is tailored to your setup rather than posted, the AI Premium Suite is packaged separately from the core platform, and API access is an add-on. If you need a cheap flat-rate wiki with self-serve checkout, look at a lighter tool

Verified 1d ago · liveness 69/100 · cite: rightaichoice.com/tools/document360

Best for
  • Customer support teams cutting ticket volume with AI Chatbot and the Support Ticket Deflector
  • Technical writers who want AI drafting plus LLM connectivity through the MCP Server
  • SaaS companies running public help centers with custom domains, SEO controls, and Pro Analytics
  • Mid-market and enterprise teams migrating off Confluence, SharePoint, Zendesk, or Word
Not ideal for
  • Small teams that want a cheap flat-rate wiki and a self-serve checkout today
  • Pure developer-docs shops that only need markdown, versioning, and a git workflow
  • Organizations that require fully on-premise deployment rather than private or multi-cloud hosting
Visit Website

IntermediateTypical time to first value: a support team can stand up a public help center with AI Search and an embedded widget in a few days once content is imported. A technical writing team migrating a large article base from Confluence or SharePoint should plan weeks, not days, because migration and setup may involve project work. Developer-docs teams publishing an API reference with Mermaid Diagrams andWeb · APIAPI available3.4k viewsVerified 1d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Intermediate
Typical time to first value: a support team can stand up a public help center with AI Search and an embedded widget in a few days once content is imported. A technical writing team migrating a large article base from Confluence or SharePoint should plan weeks, not days, because migration and setup may involve project work. Developer-docs teams publishing an API reference with Mermaid Diagrams and
Runs on
WebAPI
API available · 12 integrations
Who it's for
Support lead at a SaaS companyTechnical writer shipping a product releaseDeveloper experience engineer
Live sentiment
Is Document360 actually worth it?

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Skip it if

Skip Document360 if you need a cheap flat-rate wiki you can buy on a credit card in the next ten minutes, or if you only need markdown, git-based versioning, and a developer-first docs workflow.

The 30-second take
Biggest gripe

The AI Premium Suite — Eddy AI, AI Chatbot, AI Writing Agent, and the related generative features — is packaged separately from the core platform, so it lands as a second line item on top of the base quote.

Price reality

Document360 sells a custom, scoped plan rather than published tiers, which puts it alongside enterprise knowledge platforms and above flat-rate wiki tools. Support and technical writing teams at mid-market and enterprise scale get the most value per dollar because AI Search, the Support Ticket Deflector, and Pro Analytics compound across a large article base. Small teams wanting a cheap wiki with transparent per-seat pricing will find it an expensive fit.

In short

Document360 — AI-native knowledge base software that connects your docs to ChatGPT, Claude, and Copilot through an MCP Server. Best for Customer support teams cutting ticket volume with AI Chatbot and the Support Ticket Deflector, Technical writers who want AI drafting plus LLM connectivity through the MCP Server, SaaS companies running public help centers with custom domains, SEO controls, and Pro Analytics. Contact Sales pricing.

What's new in Document360

Checked yesterday

Across the latest 3 updates: 2 feature updates and 1 launch.

Viability Score

69/100
Monitor

How well maintained and how widely used is Document360? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
40

Last calculated: September 2026

How we score →

Key Features

  • MCP Server connects your knowledge base to ChatGPT, Claude, and Copilot for real-time content retrieval
  • AI Search delivers conversational answers grounded in your articles with source citations
  • AI Chatbot turns docs, tickets, files, and FAQs into instant customer support answers
  • AI Writing Agent generates documentation from prompts, videos, and files inside the editor
  • Video to Docs Converter turns recorded video into written documentation with AI
  • Text to Audio Converter lets readers listen to articles
  • Article Summarizer generates quick summaries of long content
  • Duplicate Content Detection flags overlapping articles across the knowledge base
  • Glossary Generator and glossary management simplify complex business terms
  • Custom Workflow Builder automates task assignment, review cycles, and publishing
  • Support Ticket Deflector reduces inbound support volume with self-service answers
  • Interactive Decision Tree guides readers to the right article through branching questions
  • Pro Analytics tracks reader behavior, AI agent traffic, and ticket deflection
  • Markdown and Advanced WYSIWYG editors with article revision history
  • Reusable content blocks, templates, variables, and snippets

About Document360

Contact SalesIntermediateAPI availableWeb · API

Document360 is an AI-native knowledge base platform for teams that publish public help centers, product documentation, internal wikis, SOPs, and API docs. The authoring layer gives you Markdown and Advanced WYSIWYG editors, category management, reusable content blocks, article revision history, in-line comments, templates and variables, and a Custom Workflow Builder that automates task assignment, review cycles, and scheduled publishing. Eddy AI is the generative layer: AI Search returns conversational answers grounded in your articles with source citations, AI Chatbot turns docs, tickets, files, and FAQs into instant support answers, the AI Writing Agent drafts documentation from prompts, videos, and files inside the editor, plus an Article Summarizer, Text to Audio Converter, Video to Docs Converter, Duplicate Content Detection, and a Glossary Generator. The headline differentiator is the MCP Server, which connects your knowledge base to ChatGPT, Claude, and Copilot so AI agents pull curated, current content in real time rather than guessing from stale training data. Operations tooling covers the Support Ticket Deflector, Interactive Decision Tree, Pro Analytics (reader behavior, AI agent traffic, ticket deflection), Feedback Manager, Duplicate Content Detection, and Mermaid Diagrams. Governance and delivery include role-based access, audit logs, SSO and SCIM, IP restriction, private hosting, localization, custom domains, SEO customization, and 60+ integrations including Slack, Intercom, Zendesk, Salesforce, and GitHub. Compliance covers SOC 2 Type II, ISO 27001:2022, and GDPR. Document360 targets support, technical writing, product management, and engineering teams in SaaS, IT and consulting, financial services, healthcare, education, manufacturing, retail, and non-profit organizations. Pricing is quoted around your setup rather than listed as public tiers, and the AI Premium Suite is packaged separately from the core platform.

Behind the Verdict

Document360's bet is that documentation is no longer just read by humans — it is read by AI agents that answer your customers' questions. That bet shows up most clearly in the MCP Server, which lets ChatGPT, Claude, and Copilot pull from your knowledge base in real time. For a support or developer-docs team, that changes the value equation: instead of your content competing with a chatbot's hallucination, the chatbot cites you. Strengths. The authoring surface is broad and unglamorous in the right way: Markdown and Advanced WYSIWYG editors, category management, reusable content blocks, global find and replace, templates and variables, in-line comments, article revision history, and workspaces for multiple knowledge bases. The Custom Workflow Builder handles the part most teams get wrong — automated task assignment, review cycles, and publishing, including scheduled publishing. Eddy AI covers both sides of the lifecycle: AI Search and AI Chatbot for readers, AI Writing Agent and Video to Docs Converter for writers. Governance is enterprise-grade on paper, with SSO and SCIM, role-based access, audit logs, IP restriction, private hosting, localization, and compliance posture across SOC 2 Type II, ISO 27001:2022, and GDPR. Migration tooling is explicit for teams leaving Confluence, Zendesk, Microsoft Word, SharePoint, or Google Docs, and the import-from-PDF-and-Word path matters if you have legacy manuals. Weaknesses. The pricing model is the biggest practical friction: Document360 quotes a custom plan scoped to what you are building rather than publishing tier prices, so you cannot budget from the website alone and every evaluation goes through a scoping questionnaire and a sales conversation. The AI Premium Suite that contains the Eddy AI capabilities is packaged separately from the core platform, so the AI features that make the strongest case for the product are an additional line item. API access is offered as an add-on support feature, not bundled. Setup and migration may involve project work rather than being fully self-serve. Where it fits. Support organizations that want to deflect tickets with AI Chatbot and the Support Ticket Deflector. Technical writing teams that want AI drafting plus LLM connectivity. SaaS companies running public help centers with custom domains, SEO controls, and Pro Analytics. Mid-market and enterprise teams migrating off Confluence, SharePoint, Zendesk, or Word. Regulated IT, financial services, and healthcare teams that need SOC 2 and ISO 27001:2022 controls plus private hosting. Where it doesn't. Small teams that want a cheap flat-rate wiki with immediate self-serve checkout. Pure developer-docs shops that only need markdown, versioning, and a git workflow. Organizations that require fully on-premise deployment. Buyers who need the AI Premium Suite included in the base platform price.

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Real-world workflow fit

Concrete scenarios for the personas Document360 actually fits — and what changes day-one when you adopt it.

Support lead at a SaaS company

Import an existing Zendesk help center into Document360, enable AI Search and the AI Chatbot with the Intercom widget, and route repetitive questions to self-service while Pro Analytics tracks the deflection rate.

Outcome: Readers get cited answers from current articles instead of waiting on an agent, and the team can see which articles actually deflect tickets.

Technical writer shipping a product release

Draft release documentation with the AI Writing Agent from a recorded demo video, organize it with category management and reusable content blocks, then push it through a Custom Workflow Builder review cycle with scheduled publishing.

Outcome: Docs ship with the release without a manual review chase, and the workflow builder keeps task assignment and approvals on track.

Developer experience engineer

Publish API documentation with Mermaid Diagrams, then connect the knowledge base to Claude or ChatGPT through the MCP Server so AI coding agents pull the current endpoints and examples in real time.

Outcome: Agents stop hallucinating API details and start quoting the canonical docs, which reduces support questions from integrators.

Use Cases

Models Under the Hood

ChatGPTClaudeCopilot

as of 2026-09-22

Limitations

  • Document360 is an AI-native knowledge base platform, and its AI features — Eddy AI, AI Chatbot, AI Writing Agent, and the MCP Server — support the documentation lifecycle rather than replacing a technical writer.
  • Pricing is tailored to your setup rather than published as standard tiers, so every evaluation runs through a scoping questionnaire and a sales conversation before you see numbers.
  • The AI Premium Suite is packaged separately from the core platform, so the generative features that make the strongest case for the product are an additional line item.
  • API access is offered as an add-on support feature.
  • Setup and migration from Confluence, Zendesk, Word, SharePoint, or Google Docs may involve project work rather than being fully self-serve.

as of 2026-09-28

Verification history

We have re-verified Document360 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-checked, vendor evidence unchanged
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 19 verification passes.

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The AI Premium Suite — Eddy AI, AI Chatbot, AI Writing Agent, and the related generative features — is packaged separately from the core platform, so it lands as a second line item on top of the base quote.
  • API access is offered as an add-on support feature rather than bundled, so teams planning custom integrations should budget for it separately.
  • Setup and migration from Confluence, Zendesk, Word, SharePoint, or Google Docs may be handled as project work, which can add services cost beyond the subscription.
  • Because pricing is scoped to your setup and the content types you select in the questionnaire, two teams with similar article counts can receive different quotes depending on which features they tick.

Where the pricing makes sense

The company stage and team size where Document360's pricing actually pencils out — and where peers do it cheaper.

Document360 sells a custom, scoped plan rather than published tiers, which puts it alongside enterprise knowledge platforms and above flat-rate wiki tools. Support and technical writing teams at mid-market and enterprise scale get the most value per dollar because AI Search, the Support Ticket Deflector, and Pro Analytics compound across a large article base. Small teams wanting a cheap wiki with transparent per-seat pricing will find it an expensive fit.

Setup time & first value

How long it actually takes to get something useful out of Document360 — broken out by persona, not the marketing-page minute.

Typical time to first value: a support team can stand up a public help center with AI Search and an embedded widget in a few days once content is imported. A technical writing team migrating a large article base from Confluence or SharePoint should plan weeks, not days, because migration and setup may involve project work. Developer-docs teams publishing an API reference with Mermaid Diagrams and

Switching to or from Document360

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Confluence: use Document360's documented migration path, which is listed alongside Zendesk, Word, SharePoint, and Google Docs as a supported source.
  • →From Zendesk: import your help center articles and keep the AI Chatbot grounded in the same content readers already know.
  • →From Microsoft Word: import existing manuals directly, then restructure them with category management and reusable content blocks.
  • →From SharePoint: move internal knowledge out of document libraries into a searched, AI-grounded knowledge base with SSO and role-based access.
  • →From Google Docs: import docs and replace ad-hoc sharing with scheduled publishing, revision history, and audit logs.
Migrating out
  • ↗To Confluence: export content and rebuild page hierarchies manually, since Confluence lacks Eddy AI Search and MCP Server connectivity.
  • ↗To a developer-first docs platform: export markdown from the Markdown editor and re-wire versioning into a git-based workflow.
  • ↗To a flat-rate wiki tool: export articles and accept losing AI Search citations, Pro Analytics, and the Support Ticket Deflector in the move.

Integrations

ChatGPTClaudeMicrosoft CopilotSlackIntercomZendeskSalesforceGitHubSharePointGoogle DocsMicrosoft WordConfluence

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Document360”, and we withheld 6: 6 could not be judged, because “Document360” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Document360.

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Frequently Asked Questions

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