Pick Confluence
If your teams live in Jira and need a mature enterprise wiki. Deep page trees, space-level permissions, and Atlassian integrations are its home turf.
Confluence organizes the enterprise wiki. Notion makes the workspace delightful. GraphStaff asks a different question: when your team and their AI ask, what answer comes back?
Choose GraphStaff when your company knowledge must become a governed, permission-aware brain that answers people and AI agents with the detail each is permitted to see. Confluence is stronger as an enterprise wiki and Notion as a flexible workspace. GraphStaff is built for graph-based retrieval and permission-aware answers shown with their sources.
If your teams live in Jira and need a mature enterprise wiki. Deep page trees, space-level permissions, and Atlassian integrations are its home turf.
If you want one flexible workspace to write, plan, and organize. Blocks, databases, and delightful editing make internal knowledge easy to build.
If you want your company knowledge to answer back. One governed brain, permissions on every request, and answers your team and their AI can trace to the source, not just a page to read.
| Question | Confluence | Notion | GraphStaff |
|---|---|---|---|
| What it is | An enterprise team wiki tied to Jira and the Atlassian suite, built for internal documentation. | A flexible all-in-one workspace where docs, wikis, and databases live together and anyone can edit. | The company brain: your knowledge connected into one governed graph that answers people and AI agents with permission-aware retrieval. |
| Who gets which answer | Space and page permissions for logged-in members. A public knowledge base needs an add-on, and it is not built for per-reader access. | Granular member permissions inside the workspace. Published pages go fully public, with no per-reader authentication on public content. | Identity and reader groups govern every request. One policy governs search, Ask AI, and MCP, and each asker gets the detail they are permitted to see. |
| How answers are found | Wiki search plus Atlassian Intelligence and Rovo, scoped to Atlassian content and licensed seats. | Workspace search plus Notion AI, answering from pages the signed-in member can already see. | Graph retrieval. Connected pages, concepts, and policies are assembled into cited, traceable context before the model answers. |
| What AI agents get | Content reaches AI through Atlassian's own assistants. There is no open MCP surface with per-reader permissions for an outside AI agent. | A public API and a Notion MCP server, scoped to what the connected account can access. | One governed MCP gateway with reader permissions enforced inside it. An AI agent sees what its reader is permitted to see. |
| Pricing shape | Per-user pricing across Free, Standard, Premium, and Enterprise tiers, billed monthly or annually. | Per-user pricing across Free, Plus, Business, and Enterprise, with Notion AI billed per member. | An annual contract sized to your organization, with everything included. No per-user fees, no credits, no add-ons. |
Competitor details checked July 2026 against official pricing and documentation.
Sources: Confluence pricing Confluence permissions Notion pricing Notion MCPPermissions live in the graph, so search, Ask AI, and MCP all answer within the same governed policy.
Retrieval walks connected pages, concepts, and policies instead of guessing from fragments, and cites where the answer lives.
An engineer gets depth, a new hire gets orientation, an executive gets the summary, and each AI agent gets grounded, permission-filtered context.
An illustration of the path from question to answer: permissions first, then the graph walk, then a cited answer scoped to the asker.
“What is our data retention policy?”
Customer data is retained 24 months after contract end, with the legal-hold exception.
The short version of what teams usually want to know before they see GraphStaff in action.
Not exactly, and that is the point. Confluence and Notion are where teams write and store knowledge. GraphStaff is where that knowledge becomes a governed answer for the people and AI agents who ask. If you are choosing what your team and their AI actually get back, this is the comparison.
When your company runs on Jira and needs a deep internal wiki with space-level permissions. GraphStaff does not replace an enterprise team wiki.
When you want one flexible tool to write, plan, and organize internal work. GraphStaff has no block editor or databases; authors publish from their own source.
GraphStaff is an annual contract sized to your organization, with permission-aware retrieval, search, Ask AI, and the MCP gateway included. There is no public price list, so contact us for a quote.
Bring the question your team and their AI ask most. We will show you what a governed answer to it looks like.