Your team wiki has 300 pages, nobody reads them, and someone suggests "just put AI on it." Two obvious options: turn on Notion AI where the wiki already lives, or build a Claude Project from exported docs. Notion is simpler to switch on, and Claude gives you more control over what the model sees. Which is right depends on four things: where the pages live, who needs access, how fast they change, and what you pay per person.
I'm not going to crown a winner. I checked plan details on the vendors' own pages on 2026-10-09, and below you'll find a decision table, the traps I'd watch for, and a ten-question test you can run on your own wiki in an hour. I did not run either product against a real team wiki for this post, so nothing here is a benchmark.
What each tool actually is for a team wiki
Notion AI works inside the workspace. According to Notion's AI help article (read via a summarising fetch on 2026-10-09), it can search workspace pages you can access, apps connected through Notion AI Connectors such as Slack or Google Drive, and the web. Admins can turn web search off for the whole workspace. The same article says that for files and computations it "only uses information it has permission to see." It does not state this in so many words for search, so confirm the permission behaviour yourself (the test below includes a check).
Claude Projects is a workspace inside Claude with its own instructions and a knowledge base of files you upload. Per Claude's help article on projects (same caveat: summarised fetch, 2026-10-09), on paid plans Claude switches on retrieval when the knowledge nears the context limit, which the article says can expand capacity by up to 10x. It lists no file count or size limit, so don't assume one. For a wiki, that means you export or copy pages in and Claude answers from what you uploaded. See our Claude Projects guide for setup patterns.
The core difference: Notion AI reads the live wiki. A Claude Project reads a copy.
What do the plans cost and limit, as of 2026-10-09?
These come from the vendors' pricing and help pages as summarised by a fetch tool. Exact wording and numbers change, so treat this as a snapshot and click through before you buy.
| Notion | Claude | |
|---|---|---|
| Entry paid tier | Plus, $10 per member per month | Pro, $17 per month billed annually or $20 monthly (individual) |
| Team tier | Business, $20 per member per month | Team standard seat, $20 per seat per month annual or $25 monthly, minimum 2 seats |
| AI access | Included on Business and Enterprise; limited trial of AI responses on Free and Plus (trial size not stated) | Claude is the product, so AI is on every plan |
| Shared knowledge | The workspace itself | Shared projects on Team and Enterprise only; Free is capped at 5 projects, no cap stated for paid plans |
| Extra cost | Premium models use Notion credits; admins can set per-member credit limits | Higher-priced Team premium seat exists; heavy use draws on plan usage |
| History | 7 days Free, 30 Plus, 90 Business, unlimited Enterprise | Not a wiki, so not applicable |
| Training on your data | Pages say feedback is not used to train Notion AI; they do not say what happens to workspace content, so read their security page | Team and Enterprise: model training off by default per the pricing page |
Two cautions. Notion's pricing page listed per-member monthly prices but no annual figures (it only says savings of up to 20% for yearly), so I can't give you an annual number. And the page does not define what "limited trial" of AI means on Free and Plus.
Both tools bill per person, so the real question is how many people need to ask questions versus how many need to edit. If 40 people only ask, a per-seat bill for all of them might not make sense for either tool.
Decision table: which fits which situation?
| Your situation | Lean towards | Why |
|---|---|---|
| Wiki already lives in Notion and edits are daily | Notion AI | No export step, answers follow the live page |
| Wiki is Google Docs, Confluence or scattered PDFs | Claude Project, or Notion AI with a connector if yours is supported | You'd otherwise have to migrate everything just to query it |
| You need a reviewed, frozen "policy snapshot" | Claude Project | You decide exactly which versions the model sees |
| Many people ask, few edit | Test both on seat cost | Per-seat pricing hits askers too |
| Mixed-sensitivity pages (HR, finance, client names) | Notion AI, after you confirm permissions | Existing page permissions already encode who sees what; a Claude Project shared with the team gives every viewer everything in it |
| You want to control the instructions tightly (tone, refusals, citation format) | Claude Project | Project instructions are a first-class setting |
| Under about 30 stable pages | Either, or just a Claude Project on Free/Pro for yourself | Don't buy a team plan for a small knowledge base |
The permissions row is where teams get hurt. A shared Claude Project has its own view and edit permission levels, but they apply to the project, not to each uploaded page. If you export HR pages into a project you share with the whole organisation, everyone with access can ask about them. Upload only what everyone with access may see, or make separate projects per audience. For what shouldn't go into any assistant, see what not to paste into ChatGPT.
The traps nobody mentions in the demo
Stale pages answer confidently. Both tools will happily quote a 2023 expenses policy if it's in the knowledge base. Before turning anything on, archive or mark old pages. In a Claude Project, delete the old file rather than hoping the new one outranks it.
Search is not the same as comprehension. Retrieval picks chunks; if the answer needs three pages combined, expect partial answers. Test with a multi-page question on purpose.
Citations matter more than answers. Prefer whichever setup shows you the source page. An answer with a link can be checked in ten seconds. Our fact-checking checklist for AI answers applies directly.
Web search can blend outside content into internal answers. Notion admins can disable web search for the workspace. If your wiki answers should come only from your own pages, switch it off and say so in your team guidance.
Credits and usage creep. Notion says premium models use credits and are off until an owner or admin enables them. Claude's usage draws on your plan. Neither is unlimited in practice; set expectations before rollout.
How to run the 10-question test
This is the part that settles it. Block one hour.
- Write ten questions your team really asks (leave policy, how to file an expense, who owns a client account). For each, record the correct answer and the page it lives on.
- Include three traps: one answer that spans two pages, one question whose answer is not in the wiki (the right response is "I can't find that"), and one about a page with an outdated duplicate.
- Run both tools with the same wording. For Claude, use a project with only the exported wiki and a short instruction such as "Answer only from the project files. If the answer is not there, say so. Name the file you used."
- Score each answer 2 (correct and cites the right page), 1 (correct, no citation or partly correct), 0 (wrong, or invents something).
- Permissions check for Notion: ask from an account that should not see a restricted page, and confirm it does not leak the content.
- Add up. Under 14 out of 20 for either tool means clean the wiki first, not switch tools.
A template for the instruction in step 3 (untested template, adapt it):
You answer questions about our team wiki using only the files in this project.
Rules:
1. If the answer is not in the files, reply "Not found in the wiki" and name what you searched for.
2. Always name the file or page title you used.
3. If two files disagree, show both and say which looks newer.
4. Do not give legal, tax or HR decisions; point to the policy owner instead.
Which should you pick?
If your wiki is already in Notion and you're on, or willing to pay for, Business, try Notion AI first. It's the least work, and answers follow your edits. If your knowledge is spread across tools, if you want tight control over instructions, or if you only need a reviewed set of documents queried, a Claude Project on a Team plan is cleaner. In both cases the wiki's quality sets the ceiling. Clean pages beat a better model.
Related: ChatGPT Projects and custom instructions setup for the OpenAI equivalent, and AI prompts for notes in Obsidian and Notion for the personal-notes side.
Sources, read 2026-10-09 through a summarising fetch (confirm exact wording on the pages): Notion pricing, Notion AI FAQs, Claude pricing, Claude help: What are projects?. I could not fetch Notion's verified-pages help article (404), so I don't make claims about it.
