← All tools
Knowledge workers in 300+ employee compa

Glean

You spend your days jumping between Slack threads, Drive folders, Confluence pages, Jira tickets, and Salesforce records to answer a single question or prepare for a meeting.

Last updated 2026-04-25
Sources 17
RV
Riley Voss
AI tools researcher · Last reviewed 2026-04-25
Glean interface screenshot
Screenshot of Glean — captured from official site
Mid-market and enterprise teams whose knowledge lives across Google Workspace, Slack, Confluence, Jira, and Salesforce should use Glean when they need unified search plus permission-aware Agents that span those systems. Teams under 200 people or those living entirely inside Microsoft 365 should skip it because the custom enterprise pricing and deployment overhead outweigh the benefit.
Strengths
  • Delivers source-backed answers across 100+ enterprise tools when all relevant systems are connected and permissions are correctly mapped.
  • Supports Fast, Thinking, and Deep Research modes plus 100+ Agents that trigger cross-system actions while respecting the same access controls.
  • Reduces time spent hunting for information in multi-tool environments, provided you accept the need to verify every AI summary against the cited sources.
  • Limitations
  • Permissioning complexity frequently returns "access denied" even on documents the user believes they should reach, forcing them back into the original system.
  • Usage-based pricing tied to employee count, connected sources, and agent actions escalates into six figures annually for organizations over 500 employees.
  • Occasional hallucinations in AI summaries require constant citation validation, reintroducing the exact verification step the tool aims to eliminate.
  • Pricing 01

    Pricing details not available — check the official site for current plans.

    Recurring user signals 02

    Patterns from reviews, community discussions, and public feedback.

    Praise patterns
    Search quality and knowledge discovery
    Commonly reported
    "Glean is Google Search for our company’s internal knowledge. It finds answers across Drive, Slack, Confluence, Jira, and every other tool instantly." — g2.com
    Time savings and productivity
    Commonly reported
    "I save hours every week. What used to take me 30–45 minutes of hunting through folders and Slack threads now takes <10 seconds." — g2.com
    Excellent onboarding and support
    Mentioned by some users
    "Their customer success team is phenomenal. They literally sat with us for days mapping our tools and permissions." — trustradius.com
    Critique patterns
    High price / enterprise-only positioning
    Commonly reported
    "It’s very expensive. We love the product but the pricing made it a hard sell for a 180-person company." — g2.com
    Permissioning complexity and over-filtering
    Commonly reported
    "Sometimes it’s too strict with permissions. I know a document exists but Glean won’t show it to me even though I should have access." — trustradius.com
    Incomplete coverage of certain tools
    Mentioned by some users
    "It still misses some of our older SharePoint sites and a few niche internal tools. Coverage is good but not 100%." — capterra.com
    Where users disagree
    Some users say the ROI is immediate and easily justifies the cost; others argue it’s too expensive unless you’re a large enterprise with heavy knowledge-worker headcount.
    Best fit / not ideal for 03
    Best fit
    Knowledge workers in 300+ employee companies operating across Google Workspace, Slack, Confluence, Jira, and Salesforce who lose hours weekly reconstructing context from multiple tools.
    Organizations that already invest in enterprise search and compliance tooling and can absorb the multi-week IT deployment and ongoing usage-based costs.
    Teams that run repeatable cross-system workflows where permission-aware Agents can execute actions without leaving the Glean interface.
    Not ideal for
    Teams under 200 people who cannot justify six-figure annual spend and would be better served by lighter context-injection tools.
    Companies that live entirely inside the Microsoft 365 stack and only need in-app assistance inside Word, Excel, Teams, and Outlook.
    Users who expect fully autonomous answers without reviewing citations or who work with older SharePoint sites and niche internal tools that Glean does not yet fully index.
    Typical alternatives 04
    When to choose which
    Choose Microsoft 365 Copilot when your company lives entirely inside the Microsoft 365 stack and you want AI assistance directly in those apps. Choose Glean when you operate across Google Workspace, Slack, Confluence, Jira and need unified search plus Agents that span those systems.
    Glean
    Mid-market and enterprise teams whose knowledge lives across Google Workspace, Slack, Confluence, Jira, and Salesforce should use Glean when they need
    • Delivers source-backed answers across 100+ enterprise tools when all relevant systems are connected
    • Supports Fast, Thinking, and Deep Research modes plus 100+ Agents that trigger cross-system actions
    • Permissioning complexity frequently returns "access denied" even on documents the user believes they
    • Usage-based pricing tied to employee count, connected sources, and agent actions escalates into six
    When to choose which
    Choose Context Link when you are a team under 200 people who want AI context inside tools you already use and cannot justify six-figure spend. Choose Glean when you need a dedicated enterprise platform with permission-aware Agents, Deep Research mode and formal compliance controls.
    Glean
    Mid-market and enterprise teams whose knowledge lives across Google Workspace, Slack, Confluence, Jira, and Salesforce should use Glean when they need
    • Delivers source-backed answers across 100+ enterprise tools when all relevant systems are connected
    • Supports Fast, Thinking, and Deep Research modes plus 100+ Agents that trigger cross-system actions
    • Permissioning complexity frequently returns "access denied" even on documents the user believes they
    • Usage-based pricing tied to employee count, connected sources, and agent actions escalates into six
    Inside the workflow 05
    You open app.glean.com or the Chrome extension, type a natural language query into the search bar, then choose Fast Mode for quick document lookup and summaries, Thinking Mode for complex analysis, or Deep Research for multi-source reports. You review the source-backed answer with citations to Slack threads, Drive files, Jira issues, or Salesforce records, apply filters like app:slack updated:>7d or type:issue, and click GoLinks for instant shortcuts. When the answer needs action you switch to Assistant/Chat to ask follow-ups or trigger one of the 100+ permission-aware Agents.
    • Permissioning complexity means you frequently see "access denied" even on documents you believe you should reach, forcing you to open the original system and lose the single-pane benefit.
    • Usage-based pricing tied to employee count, connected sources, and agent actions pushes six-figure annual costs for companies over 500 employees, making ROI hard to justify below that threshold.
    • Occasional hallucinations in AI summaries require you to always verify citations, adding back the exact validation time the tool is supposed to eliminate.
    Illustrative output 06
    Prompt
    Compare our Q3 and Q4 sales approaches for enterprise deals, list the trade-offs, and recommend changes based on win rates in Salesforce and notes from Gong calls
    Output
    Q3 focused on feature-led selling with average deal size $87k and 31% win rate. Q4 shifted to value-based with executive sponsorship, raising average deal size to $124k but dropping win rate to 24% because of longer sales cycles. Trade-offs: higher ACV but increased risk of no-decision. Recommendation: reinstate early technical validation from Q3 while keeping Q4 executive alignment. Sources: 14 Salesforce opportunities, 9 Gong calls, 3 Slack threads. (One cited Gong insight was from a call you do not have access to, so that bullet is hidden.)
    Practical interpretation
    The output quickly surfaces patterns across tools and supplies citations, yet permission over-filtering and the need to double-check every AI claim show the remaining friction that keeps the tool from being fully autonomous.
    Illustrative example based on typical use cases described in public sources. Output quality varies.
    Overview 07

    You spend your days jumping between Slack threads, Drive folders, Confluence pages, Jira tickets, and Salesforce records to answer a single question or prepare for a meeting. Glean solves that exact workflow by indexing every connected enterprise system into one permission-aware index so you no longer reconstruct context manually. Instead of opening five tabs and piecing fragments together, you type a natural-language query once and receive a synthesized answer with direct citations.

    Last updated 2026-04-25