ooligo

Glean

enterprise-ai-search enterprise-search · ai-assistant · ai-agents
AI-NATIVE API
RevOpsLegal OpsRecruiting & TA
8.4 /10

What it is

Glean is an enterprise AI assistant built on a single search index across your SaaS — Slack, Google Drive, Notion, Salesforce, Jira, GitHub, ServiceNow, plus 100+ other connectors. The three surfaces are Glean Assistant (chat), Glean Search (the retrieval layer underneath), and Glean Agents (no-code automations that read and write through the same connector graph). Founded by ex-Google search engineers; the retrieval-quality story is the differentiator, not the chat UI.

Why it shows up in ops stacks

  • Permissions-aware in real time. Every answer respects each source system’s ACLs at query time, so a finance doc surfaces for finance and stays hidden from the SDR who happens to share the same Drive. This is the single feature that separates Glean from “point ChatGPT at our data” projects.
  • Cross-app retrieval beats per-app chat. A RevOps lead asking “what is the Q3 renewal risk for ACME?” gets one answer stitched from Salesforce notes, Gong calls, the Slack deal channel, and the QBR deck — not three browser tabs.
  • Agents read the same graph. Glean Agents reuse the connector index the Assistant uses, so an agent that triages support tickets sees the same Confluence runbook a human would, with the same ACLs.

Pricing

Glean does not publish prices. Buyer-reported numbers as of mid-2026:

  • Base license — about $40-50 per user/month, with a 100-seat minimum. SaaS-hosted runs slightly higher than customer-hosted.
  • AI add-on — about $15 per user/month on top of base when broken out separately.
  • Total contracts — $200K-480K all-in per year for mid-market and enterprise deployments once integrations, onboarding, and infrastructure load are counted.

If your team is under 100 seats, Glean will not quote you. Use ChatGPT Enterprise plus a connector layer instead.

Best for

  • Mid-market and enterprise (200+ seats) with sprawling SaaS and a permissions model already in shape
  • RevOps, CS, and support orgs that need cross-app context, not better single-app chat
  • IT and knowledge-ops teams that want to build agents on top of the existing search graph rather than wire one MCP server per tool

Alternatives and when to pick them

  • Microsoft 365 Copilot — pick when your team lives in M365 (Outlook, Teams, SharePoint) and you do not need deep Salesforce, Jira, or Notion retrieval. M365 Copilot’s $30/user/mo published price beats Glean once M365 covers 70% or more of the surface area.
  • ChatGPT Enterprise plus connectors — pick when the seat count is under 100, when the team will tolerate a thinner permissions story, or when “general-purpose assistant” matters more than “search over our systems.” This is the fastest-growing entrant for sub-enterprise buyers.
  • Perplexity Enterprise — pick when the primary job is external research (companies, regulations, candidates) and internal SaaS retrieval is a bonus, not the point.

Watch-outs

  • Permissions are only as good as the source system. A Drive folder shared with “anyone with the link” surfaces to anyone who can ask Glean. Guard: run a permissions audit on the top 5 connected systems before rollout, and rerun it quarterly — Glean’s ACL inheritance does not fix upstream over-sharing.
  • The 100-seat minimum is real. Teams under that threshold get pushed to “wait until you scale,” and most procurement timelines collapse when stakeholders learn that mid-pilot. Guard: do not promise a Glean POC until 100 seats are committed in writing.
  • Indexing cost compounds. Each new connector adds crawl and storage load that shows up in Year-2 renewal as a usage surcharge. Guard: freeze the connector list at rollout and route new-connector requests through a quarterly review instead of a self-serve flow.