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Glean

Glean indexes company apps through 275+ connectors and mirrors their permissions. Employees search that content and ask Glean Assistant questions. Glean Agents use the same context to automate work.

The 30-Second Take

Pick Glean if company knowledge is spread across many SaaS tools and IT owns connectors and permissions.

It indexes 275+ sources, including Slack, Google Drive, Confluence, Jira and Salesforce, and answers only from content each employee can already open. Nearly every public account on cross-app search praises it.

Best fit
Companies whose knowledge spans Slack, Drive, Salesforce, Jira, and other SaaS apps.
Main constraint
Prices come only by quote, and Premium models and agents draw on pooled credits or model usage on top of seats.
First move
Audit sharing in your largest sources, then open Glean to 100 to 300 users from several departments.

Why

Watch the oversharing: Glean shows an overshared file to anyone its source permissions allow, until an admin hides it with sensitive-content controls. Glean publishes no list price, and agents and Premium models spend pooled credits on top of seats.

Practitioner sentiment, all users+67 Strong positive

36 practitioners, 68 sources reviewed, Updated Nov 1, 2026How this is measured

Read the GILD Review
Save a product your organization uses.Keep up with Glean without adding it to your stack.Visit Website
Operating stack
AI Knowledge Work

Comparisons

How does Glean compare with the alternatives?

See all 4 comparisons

  1. Glean vs Microsoft Copilot

    • Enterprise Search

    A company that runs mostly on Microsoft 365 starts with Copilot, and one spread across Slack, Google, Atlassian, and a CRM weighs Glean. Microsoft lists Microsoft 365 Copilot at US$30 per user per month paid yearly and grounds it in Microsoft Graph plus 100+ connectors. Glean publishes no price and indexes 275+ apps outside any one suite.

  2. Glean vs Notion AI

    • Enterprise Search

    Choose Notion AI when Notion holds most answers, and Glean when knowledge spreads across many systems, including on-premises ones Glean reaches through push connectors. Notion AI searches the Notion workspace and its connected apps within each user's permissions; Glean indexes 275+ sources. GILD's search for a head-to-head test of the two on mixed apps found only vendor-written comparisons, so run both on your own questions.

  3. Glean vs Confluence

    • Enterprise Search

    A company whose answers live mostly in Jira and Confluence tests Rovo first, and one spread across many systems weighs Glean. Rovo, Atlassian's AI layer across Confluence and Jira, comes with paid Confluence and Jira Cloud plans at no extra charge and searches Atlassian apps plus 56 listed connectors. Glean indexes 275+ apps, Confluence among them, on its own license.

Operator Insights

What are business and product leaders learning from rolling Glean out across their teams?

See all 5 operator accounts

Buying and deployment

What business and product leaders should verify before rolling it out across teams.

Sourced from Glean documentation

How you buy it

No list price

Per-user seats through sales, with AI usage billed on top of the seat.

Source 1, glean.com, glean.com/pricing (redirects to the homepage): glean.com/pricing (redirects to the homepage)Source 4, Glean, Deployment models: Deployment modelsSource 3, Glean, Core Suite pricing: Core Suite pricingSource 2, Glean, Enterprise Flex pricing: Enterprise Flex pricing

Details

Through a Glean account team, with no published list price: glean.com/pricing redirects to the homepage, which lists no price. Seats are licensed per user per month under Glean Core Suite or Enterprise Flex. AI usage comes on top: Core Suite bills Model Hub usage at provider API rates against an upfront commit, and Enterprise Flex includes a pooled FlexCredit allowance with extra packs for sale.

Cost drivers

FlexCredits

Premium models, agent runs, slides, and meeting notes draw on the pooled allowance.

Source 2, Glean, Enterprise Flex pricing: Enterprise Flex pricing

Details

Seats set the base cost. Premium models, agent runs, slide generation, and meeting notes consume FlexCredits. Enterprise Flex includes Basic and Standard models in fast mode, and Thinking and Adaptive Reasoning queries on Standard models up to 100 per user per week. Protect+ and Premium Support carry site-wide annual fees.

Where it runs

Single-tenant cloud

Glean hosts it for you, or it runs in your own GCP or AWS account for less.

Source 4, Glean, Deployment models: Deployment modelsSource 3, Glean, Core Suite pricing: Core Suite pricing

Details

Glean Hosted runs single-tenant with regional data residency, in multiple GCP and AWS regions. Customer Hosted runs in your GCP or AWS account at lower licensing cost. Employees use web, browser extension, desktop and mobile apps, Slack, Teams, and MCP hosts.

What to verify

Native connectors

Check each source has a native connector beyond MCP, and that the credit pool covers your agent runs.

Source 5, Glean, About connectors: About connectorsSource 2, Glean, Enterprise Flex pricing: Enterprise Flex pricing

Details

Whether each source has a native connector or only web history, push API, or MCP access, how the contract's credit pool compares with projected agent runs, and whether you need Protect+ scanning before rollout. Core Suite includes Glean Protect in the seat fee, with SSO, zero LLM data retention, and detailed audit logs. Glean lists ISO 42001, HIPAA, TX-RAMP Level 2, SOC 2 Type II, ISO 27001, and GDPR.

Signals

What is the current evidence saying about Glean?

A current read of what employees, team owners, and leaders using Glean at work report publicly, with every finding linked to its sources.

Whose sources count

Practitioner sentiment, all users

+67 Strong positive net

of 37 sources that take a side, each author counted once.

How this figure is made

Leaders and teams have 14 accounts; GILD prints their sentiment from 20.

Current sentiment

Positive, mixed and negative sources

The score counts them as 26 positive, 8 mixed and 2 negative votes, one per author.

The read is strongly positive. Cross-app search draws praise from 9 of 10 sources, and the 4 critical accounts on agents are GitHub reports of setup bugs in Glean's SDKs and MCP server. Assistant answers split, 4 positive to 4 critical, and 5 of the 6 sources on accuracy raise it. Saving time is the statement most sources share.

Run a pilot on questions your team already asks to measure how often the answer is right and cites its source.

Evidence field. All 68 sources, one mark each.

Arrange by

Each mark is one source: positive, mixed, negative, no opinion stated, or documentation (not counted).

By sentiment, All users. Every source GILD read, grouped as the field draws it.
GroupSourcesPositiveMixedNegativeNo opinion stated and not counted in the scoreDocumentation, checked and not counted
Positive27270000
Mixed808000
Negative200200
Not counted14000140
Documentation17000017
Every source GILD read, by the quarter it was published, as the field's time axis counts it. Documentation is dated by the day it was checked.
QuarterSources
Q1 20252
Q2 20251
Q3 20254
Q4 202514
Q1 202619
Q2 20265
Q3 20266
Q4 20260
Documentation, checked17

By sentiment

17 documentation pages check facts and are not counted.

Hover a mark for a quick look, click it or press Enter to open its source.Tap a mark to open its source, then step to its neighbors with Previous and Next.

What practitioners praise

Top praise of 5. Each mark is a source on it; filled marks praise it.

  1. Agents & Automation15 of 19 sources on it praise it

Most common concerns

Top concern of 3. Each mark is a source on it; filled marks raise it.

  1. Setup & Administration7 of 8 sources on it raise it as a concern
All 68 sources behind these findings
  1. About connectorsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  2. ConnectorsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  3. Crawling FAQGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  4. Glean deployment modelsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  5. About Glean Protect and Protect+Glean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  6. Glean ProtectGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  7. Security and ArchitectureGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  8. Agents introductionGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  9. Manage agent accessGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  10. About Glean MCP serverGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  11. Supported LLMsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  12. Glean Core Suite pricingGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  13. Glean Enterprise Flex pricingGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  14. AI usage controlsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  15. Rollout strategyGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  16. Populate contentGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  17. About sensitive findingsGlean (Official Glean documentation), Product documentation, checked Oct 12, 2026
  18. How DaVita Is Scaling AI in Healthcare With GleanMadhu Narasimhan, CIO, DaVita Kidney Care (self-described: DaVita's CIO discusses Glean as a context layer while scaling AI in a regulated healthcare organization), Podcast show notes, The Ravit Show, published Sep 22, 2026
  19. Comment on: Ask HN: Who is using MCP in production?Hacker News commenter (self-described: Principal platform engineer using Glean, Jira and Port through MCP), Hacker News comment, published Sep 4, 2026
  20. Beyond Search: How McCarthy built enterprise AI on GleanAlex Elsayegh, AI Platforms Lead, McCarthy (McCarthy platform leadership discusses its Glean implementation at Glean GO 2026), Conference session notes, YouTube, published Aug 31, 2026
  21. Inside AI Transformation: Howard Hughes - From Pilot to Process TransformationJonathan Goldberg, VP, Enterprise AI, Howard Hughes (Howard Hughes enterprise AI leadership discusses its Glean rollout at Glean GO 2026), Conference session notes, YouTube, published Aug 31, 2026
  22. Comment on: Software engineering is about managing complexityHacker News commenter (self-described: Employer pays for Glean among other AI tools), Hacker News comment, published Aug 27, 2026
  23. assert_negative_identities_absent does not inspect allowAnonymousAccess or allowAllDatasourceUsersAccessVirajParmar06, developer filing a GitHub issue (self-described: Custom Glean connector built over 28,449 messages from a public email corpus), GitHub issue, published Aug 14, 2026
  24. Glean: The Key to Enterprise AI Search and AgentsJackson Aaron, employee at a regulated firm (self-described: Regulated firm that put Glean between employees and AI models, two months), Personal blog post, Medium, published Jun 29, 2026
  25. Bridging the Data Divide: How Motive Uses Glean and Snowflake Agents to Give Executives a 360° Account ViewJay Rosenthal, Director of Business Intelligence, and Shashi Gupta, BI Platform Manager, at Motive (self-described: Motive business intelligence team, account briefs for sales and customer success executives), Engineering blog post, Motive engineering blog, published Jun 4, 2026
  26. Comment on: The AI bubble isn't like the internet bubbleHacker News commenter (self-described: Company rolling Glean out to HR, correspondence and marketing), Hacker News comment, published May 26, 2026
  27. The many agent skills under skills/ should really just be a single skillsammcj, developer filing a GitHub issue (self-described: Using the Glean CLI agent skill with Claude Code and OpenCode), GitHub issue, published Apr 30, 2026
  28. upload_files()/upload_files_async() raises httpx.RequestNotReadyurykar, developer filing a GitHub issue (self-described: Glean agent run with file upload through the Python API client), GitHub issue, published Apr 3, 2026
  29. Building the Future of AI Adoption: How McCarthy Achieved 90% AI Adoption in 30 DaysRico Bertucci, VP of Strategy and AI Program Lead, McCarthy Holdings (McCarthy Holdings selected Glean as the single platform for its company-wide AI rollout), Webinar transcript, Goldcast, published Mar 25, 2026
  30. Search for policies efficiently and build custom agents, but integration options still need improvementZeeshan Safdar, subscription services representative at Pure Storage (self-described: Pure Storage, over a year), Peer review, PeerSpot, published Mar 23, 2026
  31. Creating low-code agents has transformed policy queries and now saves employees hours dailyreviewer2810748, Analyst at a financial services firm with 1, 001 to 5, 000 employees (self-described: Employee policy agent at a financial services firm), Peer review, PeerSpot, published Mar 20, 2026
  32. Sales agents have automated prospect research and now save hours with unified customer insightsreviewer2809938, Senior Data Analyst at a tech vendor with 1, 001 to 5, 000 employees (self-described: Sales development team at a tech vendor, six to seven months), Peer review, PeerSpot, published Mar 19, 2026
  33. Daily orchestration of complex ai workflows has boosted my research and automation capabilitiesAnanya Bl, Data Analyst at Capgemini (self-described: Capgemini, hackathon access, two months), Peer review, PeerSpot, published Mar 19, 2026
  34. Intuitive workflows have improved integrations and streamlined daily management tasksreviewer2809692, Librarian at a university with 1, 001 to 5, 000 employees (self-described: University library, one and a half years), Peer review, PeerSpot, published Mar 17, 2026
  35. Comment on: The Enterprise Context LayerAndy Chen (andychen32), Hacker News commenter and author of the post (self-described: Abnormal, go-to-market question bot), Hacker News comment, published Mar 16, 2026
  36. Unified data search has improved cross-team insights and speeds up resolving recurring issuesreviewer2809308, Senior Support Engineer at a software company with 501 to 1, 000 employees (self-described: Support team at a software company, a year and a half), Peer review, PeerSpot, published Mar 16, 2026
  37. Centralized search has transformed my research workflow and saves hours on complex data gatheringKavita Khandhadia, Senior Partner, Global Alliances, at a software company with 1, 001 to 5, 000 employees (self-described: Strategic partnerships, one-month trial), Peer review, PeerSpot, published Mar 16, 2026
  38. AI assistants have transformed daily project decisions and documentation for complex programsAmbsingh Singh, Senior Technical Program Manager at LinkedIn (self-described: LinkedIn, technical program management, daily for one year and eight months), Peer review, PeerSpot, published Mar 15, 2026
  39. Comment on: How do you capture WHY engineering decisions were made, not just what?Hacker News commenter, Hacker News comment, published Mar 14, 2026
  40. AI agents have transformed how we compare offers and standardize complex project documentsGopi Gonuguntla, Principal Architect at a tech vendor with 10, 001+ employees (self-described: Employee productivity and customer education teams, public cloud on Google, almost two years), Peer review, PeerSpot, published Mar 14, 2026
  41. Global token auth sends wrong header: X-Glean-Act-As instead of X-Glean-ActAsryan-macdonald-nb, developer filing a GitHub issue (self-described: Glean MCP server with a global API token, running in a GKE pod), GitHub issue, published Mar 12, 2026
  42. Comment on: The Enterprise Context LayerHacker News commenter, Hacker News comment, published Mar 10, 2026
  43. The Enterprise Context LayerAndy Chen, built a question bot for go-to-market reps at Abnormal (self-described: Abnormal, about 1,000 people, recently started using Glean), Personal blog post, andychen32.substack.com, published Mar 10, 2026
  44. Comment on: Show HN: Omni - Open-source workplace search and chat, built on PostgresHacker News commenter (self-described: Team building its own workplace search), Hacker News comment, published Mar 2, 2026
  45. Glean in Slack answers a real fire alarmTagir Valeev, software engineer (self-described: Office whose Slack has Glean integrated), Mastodon post, published Feb 12, 2026
  46. Consolidating marketing content has streamlined sales prospect outreach and collaborationreviewer2783439, DevOps and sales operations at a marketing services firm with 51 to 200 employees (self-described: Sales team at a marketing services firm, four months), Peer review, PeerSpot, published Feb 6, 2026
  47. Latent Space: Brex's AI strategyJames Reggio, CTO of Brex (self-described: Operations, finance and people teams building agents), Podcast episode, Latent Space, published Jan 17, 2026
  48. Automating dbt Documentation: A Workflow for Glean-Powered Column DescriptionsSravani Kakaraparthi, builds dbt models at their company (self-described: Own dbt documentation workflow at their company), Personal blog post, Medium, published Dec 30, 2025
  49. npm install fails: Unsupported workspace:* dependency in @gleanwork/local-mcp-server@0.9.0ThePlenkov, developer filing a GitHub issue (self-described: Installing Glean's local MCP server from npm on Linux), GitHub issue, published Dec 7, 2025
  50. What are you using AI /AI agents for?Teatsandbeer28, Reddit user in r/sysadmin (self-described: Company that just bought Glean and is pushing agents), Reddit post, published Dec 4, 2025
  51. Comment on: Agents to help tackle all the little things in Jira and Figma?4mal6, Reddit commenter in r/ProductManagement (self-described: Product team that ran a Glean trial), Reddit comment, published Nov 24, 2025
  52. Comment on: Why aren't more companies feeding their internal docs/code into an internal RAG system?Beef410, Reddit commenter in r/sysadmin (self-described: Company using Glean over SharePoint and other data), Reddit comment, published Nov 23, 2025
  53. Comment on: What if you don't need MCP at all?Hacker News commenter, Hacker News comment, published Nov 17, 2025
  54. Great product to useTarun Garg, Resident Solution Architect at Starburst (self-described: Starburst, computer software, 201 to 500 employees), TrustRadius review, published Nov 7, 2025
  55. Glean Vs. GuruSavannah Hair, Account Executive at Carta (self-described: Carta, 1,001 to 5,000 employees; moved from Guru to Glean), TrustRadius review, published Nov 5, 2025
  56. Easy as 12 GleanAccount Manager in Customer Service at a security and investigations company (self-described: Security and investigations company, 201 to 500 employees), TrustRadius review, published Nov 4, 2025
  57. You must get Glean if you care about your employeesKelly Guslani, Recruiter at Databricks (self-described: Databricks, computer software, 10,001+ employees), TrustRadius review, published Nov 3, 2025
  58. Making Work Flow with AI Agents: A Product Journey at Pure StoragePhu Nguyen, Director of Digital Workplace and Identity, Pure Storage (Pure Storage workplace leadership describes Glean agent adoption in a customer webinar), Webinar session notes, BrightTALK, published Oct 14, 2025
  59. GleanSearchRetriever fails silently on authentication errorsgamisn, developer filing a GitHub issue (self-described: LangChain retriever over Glean search), GitHub issue, published Oct 8, 2025
  60. AI in Action: How Etsy super users boost productivity with GleanPatrick Tran, Staff Software Engineer - Gen AI, Etsy (Etsy engineering and merchandising users discuss their daily Glean workflows in a customer webinar), Webinar session notes, BrightTALK, published Oct 6, 2025
  61. Comment on: How the AI Bubble Will PopHacker News commenter (self-described: Employer uses Glean), Hacker News comment, published Oct 2, 2025
  62. From Risk to Resilience: What Bill.com's CIO Learned Deploying Copilot, Gemini, and GleanSteve Januario, CIO, Bill.com (Bill.com rolled out Glean beside Microsoft Copilot and Google Gemini; recap of his interview on Opsin's Oversharing webcast), Webcast recap, Opsin blog, published Aug 28, 2025
  63. How HubSpot Works Smarter with GleanYork Karsten, Principal Solutions Engineer, HubSpot (HubSpot's Solutions Engineering team piloted Glean's unified search and Work AI across internal tools), Webinar page, BrightTALK, published Aug 26, 2025
  64. Comment on: Why is AI so slow to spread?Hacker News commenter (self-described: Employer has Glean AI search), Hacker News comment, published Jul 18, 2025
  65. Comment on: Ask HN: Is every company's internal wiki just broken by default?Hacker News commenter, Hacker News comment, published Jul 9, 2025
  66. Comment on: My AI skeptic friends are all nutsHacker News commenter (self-described: Colleagues use Glean to explore topics), Hacker News comment, published Jun 3, 2025
  67. Comment on: Indexing Code at Scale with GleanHacker News commenter (self-described: Company evaluated Glean in an intro meeting), Hacker News comment, published Jan 2, 2025
  68. Comment on: Indexing Code at Scale with GleanHacker News commenter, Hacker News comment, published Jan 1, 2025

Jan 2025 to Sep 2026.

51 sources from practitioners, by month and sentiment.

The full readExplore all Glean Signals5 praise themes, 4 concerns, 3 points of agreement and 0 disagreements across all three groups, with all 68 sources open to inspect.

Where It Fits

Where does Glean belong in the stack?

Open Where It Fits: the Stack Field and the full map

Glean is Core across Find, supports Assist and Automate, and touches Create and Analyze.

Business area
Company-wide
Function
Knowledge Work
Operating stack
AI Knowledge Work
Primary role
Enterprise Search & Work AI
Glean beside the rest of its stackThe Stack Field, every product on every layer
FootprintGlean across the AI Knowledge Work stack. Bar height is its role on each layer.

  1. Assist

    1. AI assistant: Supports

      AI assistant, supports. Glean Assistant chats over company and web data with a choice of 40+ models from OpenAI, Google, Anthropic, and others, so it can be the employee assistant. Teams that want a general assistant with its own apps still run ChatGPT, Claude, or Gemini, which reach Glean through its MCP server.

  2. Find

    1. Web research: Touches

      Web research, touches. Assistant answers can draw on world knowledge alongside enterprise data, but Glean is built around a company's own sources, and cited research across the public web belongs to a research tool.

    2. Enterprise search: Core

      Enterprise search, core. Glean's primary role is cross-app search. Native, MCP, and push connectors index 275+ apps, mirror each permission map, and feed permission-aware search, Assistant answers, and the people directory.

  3. Create

    1. Documents: Touches

      Documents, touches. Canvas drafts documents and pages from company context, and slide generation is metered. The documents and wikis remain in Google Workspace, Microsoft 365, Confluence, or Notion.

    2. Meeting notes: Touches

      Meeting notes, touches. Glean Meeting Notes transcribes meetings and writes summaries and action items as a metered feature. Connectors index Zoom, Gong, and Granola notes, and dedicated meeting capture stays with a meeting-notes tool.

  4. Analyze

    1. Data analysis: Touches

      Data analysis, touches. Assistant data analysis works on uploaded files. Generally available connections to Salesforce, Jira, Snowflake, Databricks, BigQuery, Sigma, and Power BI answer structured-data questions. Dashboards and analysis stay in tools such as Hex, which Glean reaches through an MCP connector.

  5. Automate

    1. Automation: Supports

      Automation, supports. Glean Agents run triggered and scheduled workflows with native and MCP tools. By default an agent acts under each user's permissions; since October 1, 2026, builders can give an agent its own governed identity with admin-managed service credentials. Teams build agents in Agent Builder or, since October 21, 2026, as code from Claude Code, Codex, or Cursor (a spec.yaml plus instructions.md reviewed in Git). Both kinds publish to Glean's runtime with the same permissions. The code path supports Auto mode agents only. Multi-step cross-app automation and non-AI triggers stay in tools such as Zapier or n8n.

Market mapThe layers Glean covers, and who else owns each one.

  1. Enterprise search & company knowledge

    CoreFind

  2. General AI assistant

    SupportsAssist

  3. Workflow automation & agents

    SupportsAutomate

  4. Web research & cited answers

    TouchesFind

  5. Writing & documents

    TouchesCreate

2 more layers on the full map. Core, Supports and Touches describe coverage. They say nothing about quality.

More on Glean

  1. GILD ReviewGILD's evaluation, with the buying facts
  2. Research2 pieces
  3. Guides3 guides
  4. Operator Insights5 operator accounts
  5. Where It FitsOn the AI Knowledge Work stack
  6. Related Products6 products