Glean vs Notion AI: Our Verdict
One is a purpose-built enterprise search layer that indexes your whole SaaS stack behind a permissions-aware graph. The other bundles workspace search into the notes app your team may already live in. We tested both to decide which one belongs in a serious knowledge stack.
We recommend Glean for organizations that need real cross-app enterprise search: a permissions-aware index across a hundred-plus SaaS systems, with agents that act inside them. Notion AI is the right and cheaper pick for teams whose knowledge already sits in Notion and who want workspace Q&A plus a modest set of external connectors bundled into the docs app they already pay for.
These two tools tackle the "where is that answer buried?" problem from opposite directions. Glean is a standalone Work AI platform built to index the enterprise: it crawls, permissions-checks, and semantically ranks content across Slack, Google Workspace, Microsoft 365, Salesforce, Jira, Confluence, GitHub, ServiceNow, and dozens more, then layers Assistant and Agents on top of that index. Notion AI is a feature set inside the Notion workspace (Enterprise Search, Research Mode, AI Meeting Notes, and Notion Agents) that reaches out to a growing but shorter list of connected apps and treats Notion itself as the primary source of truth.
We tested both on the same knowledge-retrieval and workflow tasks a mid-size company would actually run: cross-app Q&A, permissions handling, deep research, agentic action, and total cost. Each round names a winner and states the concrete procedure we used to decide it.
Glean covers the reference stack end to end and then some. It publishes support for 275+ native and MCP-based connectors across the enterprise app ecosystem, including all thirty apps on our list. Notion AI's connector roster today is Slack, Google Drive, GitHub, Jira, Microsoft Teams, OneDrive, SharePoint, Salesforce, and Box, with more listed as coming soon. For a company whose knowledge is scattered across a large SaaS estate, that gap decides the round.
How we tested itWe listed each vendor's shipping connectors as of August 2026 and counted how many of a 30-app reference stack (Slack, Teams, Google Workspace, Microsoft 365, Salesforce, HubSpot, Jira, Confluence, GitHub, GitLab, Zendesk, ServiceNow, Intercom, Notion, Box, Dropbox, Asana, Linear, Zoom, Gong, Workday, Okta, Databricks, Snowflake, Looker, Tableau, Figma, Ironclad, Netsuite, Dynamics 365) each tool could index out of the box.
Both tools honored source-system permissions on the retrieval path and neither leaked restricted content in our runs. Glean wins on how it does it: permissions resolve against source ACLs at query time, restricted documents never enter the prompt, and the platform runs in a single-tenant cloud with agent actions validated at runtime. Notion AI also enforces permissions and offers zero data retention on Enterprise, but its trust model is scoped to the workspace-plus-connectors pattern rather than a dedicated enterprise index.
How we tested itWe connected the same test tenant (Slack + Google Drive + Jira) to each tool with mixed private and shared content, then asked questions whose answers lived in documents the querying user was not entitled to see, and checked whether restricted content ever appeared in the answer or citations.
Glean's Enterprise Graph and hybrid (keyword + vector + RAG) retrieval gave it a consistent edge on questions that spanned multiple apps. It reliably surfaced the specific Jira ticket, Slack thread, or Salesforce record that answered the question, personalized to the user. Notion AI answered workspace-scoped questions well and cited cleanly, but when the answer lived mainly outside Notion, its results thinned out against Glean's.
How we tested itWe ran the same 25 natural-language questions in each tool (a mix of "what did we decide about X?", "who owns Y?", and "summarize the last three weeks on project Z") against an identical Slack + Drive + Jira + Notion corpus, then had two reviewers blind-score each answer for accuracy, citation quality, and whether it surfaced the right source.
Notion's Research Mode was purpose-built for exactly this task. It breaks a brief into a multi-step research plan, pulls from connected apps and the web, and returns a polished report that saves and shares inside the workspace without extra formatting. Glean's Data Analysis and Research surfaces are strong on the internal side, but the finished-report ergonomics (save, share, iterate in place) are Notion's home turf, and it showed.
How we tested itWe gave each tool the same three research briefs (a competitive pricing scan, a customer-feedback synthesis, and a policy question cutting across HR docs and Slack) and judged the resulting reports on whether they combined internal and web sources, cited them, and produced something a manager could actually forward.
Glean Agents took the round because "act inside the source system" is the point of the product. Agents open tickets, update records, and post messages across connected apps under enforced permissions, with human-in-the-loop checkpoints, and Glean has publicly stated the platform executes more than 100 million agent actions per year. Notion Agents are real and improving (they can run for up to twenty minutes autonomously and now do so on mobile), but their center of gravity is executing work inside Notion (pages, databases, workflows), not driving change across a full SaaS estate.
How we tested itWe assigned each platform three action tasks (open a Jira ticket from a Slack decision, update a shared tracker with fresh figures, and draft plus route an internal announcement) and recorded how many the tool completed end to end without dropping to a human.
Notion AI is included on Notion's paid business plans at no separate per-seat AI add-on, with Custom Agent usage metered separately through Notion credits that went live on May 4, 2026. Glean does not publish pricing; industry and buyer-reported data put base seats at roughly $45–50 per user per month with a Work AI add-on around $15, a 12% mandatory premium support fee, a minimum contract of about 100 seats, and FlexCredits on top for compute-intensive AI. For most buyers, Notion is materially cheaper and easier to forecast; Glean's spend is the price of a dedicated enterprise index.
How we tested itWe priced a 250-seat deployment on each vendor's standard commercial terms as of mid-2026 (list where published; buyer-reported medians where not), then modeled a heavy month of agentic use to see how the credit pools behaved.
Where the verdict turned
Glean and Notion AI both answer knowledge questions with citations, and both do it well inside their intended scope. The rounds that decided the verdict were the ones about scope. Glean won connector breadth, cross-app Q&A, and agents that act inside source systems, the three rounds that describe whether a tool can actually stand in as an enterprise’s search layer. With 275+ native and MCP-based connectors, Glean taps into your app ecosystem, so you can start handing off work to AI.
Glean builds connectors that capture enterprise signals, search that indexes your data, an Enterprise Graph that maps how everything relates, and enterprise memory that learns your processes, giving you a platform with the full context needed to automate work.
Notion took the rounds about polish and cost. With Research Mode, Notion AI analyzes data from your connected apps and the web to generate detailed, ready-to-share reports, saving teams days of manual research. The AI features come bundled into the paid business plans rather than sold as a separate seat, and Full Notion AI (Q&A, Agents, AI Meeting Notes, and Enterprise Search) is included on the paid plans (Plus at $10/user/month and Business at $15/user/month) at no separate add-on cost as of 2026. For a company already committed to Notion as its workspace, that’s a materially cheaper and simpler answer.
The connector question is the whole question
Enterprise search stands or falls on what it can see. Glean ships an index built for the full enterprise: Glean ships 100+ native connectors in 2026, including Slack, Microsoft Teams, Google Drive, Microsoft 365, SharePoint, OneDrive, Confluence, Jira, GitHub, GitLab, Salesforce, HubSpot, Zendesk, ServiceNow, Intercom, Notion, Box, Dropbox, Asana, Linear, Zoom, Gong, Workday, Okta, Azure AD, Databricks, Snowflake, Looker, Tableau, and Figma. The December 2025 expansion added Microsoft Dynamics 365, Netsuite, Ironclad, Affinity, Procore, and Canva to the library, extending automation into sales, finance, legal, design, and operations.
Notion AI’s Enterprise Search reaches out through a much shorter list. You can connect apps like Slack, Google Drive, GitHub, Jira, MSFT Teams, SharePoint, OneDrive today with others coming soon: Linear, Gmail, Salesforce, Zendesk, Box and more. That list is expanding (Salesforce and Box were added earlier in 2026), but the shape of the product is different. Notion assumes the workspace itself is where most of the knowledge lives, and connectors extend that. Glean assumes the workspace is one system among many, and the index is the product.
Where Notion AI is genuinely better
The one round Notion clearly won on merit, not on price, was deep research. Research Mode is built to produce a finished artifact, not just an answer. Research mode synthesizes information from your workspace, connected tools, and the web to generate comprehensive reports and documentation. The output lands in a page you can save, edit, and share without leaving the workspace. If a team’s daily use case is “write me a synthesized brief on X across our tools and the web,” Notion’s ergonomics are the closer match, and its multi-model support (a user can route a query to Notion AI, OpenAI’s ChatGPT, and Anthropic’s Claude) lets a heavier model handle a heavier brief.
Notion’s agent story is also real, and it’s a real reason for a Notion-committed team not to reach for a second platform. Since September 2025, Notion AI has been an autonomous agent platform that can execute multi-step tasks for up to 20 minutes independently, and as of January 2026, it does all of that on mobile. For workflows whose center of gravity sits inside Notion pages and databases, that’s enough.
Who should buy which
Buy Glean if enterprise search is the job. If knowledge lives across Slack, Google Workspace or Microsoft 365, Salesforce, Jira, Confluence, GitHub, Zendesk, ServiceNow, and a long tail of other systems, and you need a permissions-aware index plus agents that can act inside those systems, Glean’s ambition is exactly that scope, and its Enterprise Context, Protect, and Agents surfaces are built to deliver it at scale. Booking.com scales AI across 14,000 employees with Glean. Glean became Booking.com’s first AI platform adopted company-wide, helping teams find answers faster and turn everyday work into practical AI workflows.
Buy Notion AI if your team already lives in Notion, if your connector needs are covered by the current list, and if you want AI Q&A, meeting notes, agents, and research bundled into the workspace you already pay for. Notion AI in 2026 is the best AI layer available if Notion is already your team’s operating system. The agents are real and getting better. The Enterprise Search is genuinely useful for internal knowledge retrieval. The model selection is a practical differentiator. For most small and mid-size teams, that’s the pragmatic answer. For everyone whose knowledge really is scattered across a hundred SaaS apps, we recommend Glean.
They overlap on the "one place to ask questions about company knowledge" job, but they sit at different centers of gravity. Glean is a dedicated Work AI layer that indexes the whole SaaS estate. Notion AI is a set of features inside a workspace product. A buyer already standardized on Notion who wants unified search bolted on will consider both; a buyer choosing an enterprise search platform on its own merits should weigh Glean against Guru, Coveo, Elastic, and Microsoft's Copilot/Viva stack rather than against Notion.
Notion AI, by a wide margin at most scales. It's bundled into Notion's paid business plans with no separate AI seat, and agent usage is metered through Notion credits. Glean is a sales-quoted enterprise contract; publicly reported figures put base seats at around $45–50 per user per month with a Work AI add-on near $15, a mandatory 12% premium support fee, a roughly 100-seat minimum, and FlexCredits for consumption-heavy AI on top. Neither tool is a flat-rate, unlimited-agent product anymore.
Not in our testing. Both honor source-system permissions on the retrieval path and did not surface restricted content in answers or citations. Glean checks permissions against source ACLs at query time, filters candidates before passing them to the model, and runs in a single-tenant cloud; Notion AI limits results to what the user is entitled to see and offers zero data retention on Enterprise plans. Either can be deployed safely. Pick based on scope of coverage and cost, not on trust posture.
Only if the company also has a large non-Notion surface area: a big Salesforce estate, a service organization on Zendesk or ServiceNow, engineering work in Jira and GitHub, and a broad Slack or Teams footprint that Notion AI's connector list doesn't yet cover. Below that threshold, Notion AI's Enterprise Search is the pragmatic answer.