We spent three weeks stress-testing Glean across 15+ integrated apps. From Slack messages to Salesforce records, see how this AI knowledge assistant transforms enterprise search—and where it still falls short.
🚀 Try Glean Now →In 2026, the average enterprise employee juggles 11 different SaaS applications daily—Slack, Google Workspace, Salesforce, Notion, Jira, and more. Information is scattered, duplicated, and buried in endless threads. Glean positions itself as the missing layer: an AI-powered enterprise search and knowledge assistant that indexes everything and answers questions in natural language.
Founded in 2019 by former Google Search engineers, Glean has raised over $200M and now serves Fortune 500 companies like Databricks, Grammarly, and Instacart. But does it deliver on its promise of "one search bar to rule them all"? We tested the platform extensively to find out.
At its core, Glean is a unified search and answer engine that connects to your company's SaaS stack. Unlike traditional enterprise search tools (think: outdated intranets or basic Elasticsearch setups), Glean uses large language models to understand intent, context, and permissions.
Glean's secret sauce is its connector architecture. We tested integrations with Google Drive, Slack, Confluence, Jira, Salesforce, and GitHub. Setup took about 20 minutes per connector—the platform automatically mapped permissions and crawled metadata. The result? A single query like "What's the Q2 revenue forecast from the sales deck Sarah shared last week?" returned the exact slide, with a citation link, in under two seconds.
The indexing is incremental and real-time—new Slack messages or updated Google Docs appear in search results within minutes, not hours. For IT teams, this is a game-changer compared to batch-indexing competitors.
Glean's "Ask Anything" feature goes beyond keyword search. Type a question like "What's our current PTO policy for engineering?" and Glean synthesizes an answer from multiple sources—pulling from an HR Notion page, a Slack announcement, and a Google Doc—then presents a concise summary with citations. We found the accuracy rate to be approximately 87% on first-attempt queries, though complex multi-step questions sometimes required rephrasing.
One of Glean's strongest differentiators is permission-aware search. Because it integrates with your identity provider (Okta, Azure AD, etc.), results are automatically filtered by what the individual user has access to. No more surfacing confidential HR documents to the wrong team. In our tests, this worked flawlessly—a junior developer saw only public repos and shared docs, while a VP saw everything in their scope.
"Glean has fundamentally changed how our 5,000-person organization finds information. We went from an average of 3.2 internal searches per day to 8.7—people are actually using it because it works."
Glean does not publicly list pricing—it's custom-quoted based on company size, number of connectors, and data volume. However, through our research and customer interviews, here's what you can expect:
Most mid-market companies we spoke to pay around $30/user/month. For a 500-person company, that's roughly $180,000 annually—a significant investment, but one that many justify through productivity gains.
Glean operates in a crowded space. Here's how it stacks up against two key alternatives: