Productivity · Head-to-head
Notion AI vs Glean
Notion AI (freemium, AI Score 8.4/10) vs Glean (paid, AI Score 8.4/10). Side-by-side pricing, features, pros and cons, and which to pick.
The verdict
Pick Notion AI if…
- →you need a genuinely free option
- →budget is the constraint
- →your primary use case is teams already running projects, wikis and meeting notes in notion who want agents that act on that content directly instead of copying it into a separate chatbot.
- →you need: content-creation
Pick Glean if…
- →your primary use case is enterprise it and knowledge-management leads at 1,000+ seat companies whose work is split across both google and microsoft plus slack, jira and salesforce, and who need search that respects existing permissions.
- →you need: research, support
Side-by-side specs
| Spec | Notion AI | Glean |
|---|---|---|
| Category | Productivity | Productivity |
| Pricing model | freemium | paid |
| Headline pricing | Free tier with AI trial limits; full AI on Business — check website for current pricing | Custom enterprise pricing — check website for current rates |
| Free tier | Yes — the free plan includes AI access with usage limits, enough to evaluate but not to work in daily | — |
| AI Score | 8.4/10 | 8.4/10 |
| Best for | Teams already running projects, wikis and meeting notes in Notion who want agents that act on that content directly instead of copying it into a separate chatbot. | Enterprise IT and knowledge-management leads at 1,000+ seat companies whose work is split across both Google and Microsoft plus Slack, Jira and Salesforce, and who need search that respects existing permissions. |
| Editor's pick | — | — |
| Use cases | productivity agents content-creation | research productivity agents support |
| Date added | 2025-05-15 | 2026-05-01 |
Pros and cons
Notion AI
Productivity · freemium
Pros
- ✓Agents run multi-step work across many pages in one instruction, not a prompt at a time
- ✓Already has your workspace context — no re-uploading docs to give an assistant background
- ✓Connectors pull Slack, Drive, GitHub and Jira into the same answer, with page citations
- ✓AI-typed database properties auto-populate and refresh, which quietly removes real busywork
- ✓Model picker means you aren't locked to a single lab's model behaviour
Cons
- ×The real capability now sits on Business, so the effective price of Notion AI went up when the add-on was retired
- ×Useless unless Notion is genuinely your team's workspace — value scales with how much lives there
- ×ChatGPT and Claude can read Notion via MCP connectors, so you can get Notion context without paying Notion for AI
- ×Agent runs are metered by tier, and heavy use hits limits rather than degrading gracefully
Glean
Productivity · paid
Pros
- ✓Mirrors each source system's permissions per user, so answers can't surface documents the searcher lacks access to — the failure mode that sinks most in-house RAG projects
- ✓Genuinely broad connector library (100+) covering both the Google and Microsoft worlds, plus Slack, Atlassian, Salesforce and developer tooling
- ✓Model-agnostic: not locked to one lab's stack, with customer-hosted and BYO-model paths for regulated buyers
- ✓Agents can write back into source systems and speak MCP, so it functions as an action layer rather than only a question-answering surface
Cons
- ×No self-serve tier and no published pricing — every deployment routes through sales and an IT-led rollout
- ×Microsoft 365 Copilot and Google Gemini Enterprise now ship comparable grounded search bundled with suites most buyers already own, making Glean a second line item to justify
- ×Answer quality tracks source-data hygiene: stale wikis and over-shared drives produce confidently wrong answers, and cleanup is on you
- ×Value scales with how fragmented your stack is — a company living almost entirely inside one suite gets far less out of it
Related comparisons
Updated 2026-08-10. Spec data sourced from official product pages and tracked in our public directory at /tools.