What it is
Enterprise teams struggle with fragmented knowledge scattered across hundreds of business applications, making it difficult for AI tools to provide accurate, contextual answers. Sales reps waste time searching through Salesforce, Slack, and Google Drive for customer information. Engineers hunt through GitHub, Jira, and Confluence for project details. Support teams dig through multiple systems to resolve tickets. Before Glean, companies either used generic AI assistants that lacked company context or built custom solutions that required extensive development resources.
At a glance
Glean offers genuine value beyond basic AI chat by connecting proprietary enterprise data across 250+ systems that ChatGPT can't access, plus deep integrations with workplace tools like Slack and Jira that transform how teams find information.
Strong evidenceQuality score
Glean Enterprise AI search that helps teams find internal knowledge quickly, but depends on fresh source content.
This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of August 17, 2026, not a guarantee or statement of fact about Glean. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on Glean? Dispute any datapoint and we will review it, publish your response, and correct verified errors.
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Community feedback
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
themes inside the Sentiment pillar — not score ingredients
“In my last post, i shared how our team spent 3 months trying to build enterprise AI over our internal data and the lessons we learned. A few people slid into my dms asking about the tooling stack we evaluated and why we couldn't just use glean and what we looked at instead. to be completely fair: as a search engine for humans, glean is incredible but we ran into a massive wall when we tried to transition from basic search bar keyword lookup to building active AI agents and multi-agent workflows.”
“glean is dead in the water. claude can do everything it can do.”
“ran a similar eval at a 200 person company last quarter. agree on most of your bad list, the connector coverage gap on guru was the biggest issue for us too. we ended up with glean because the search relevance was meaningfully better on our messy notion plus slack plus drive corpus. 60x looked promising on paper but the org context modeling fell apart on cross team queries (sales asking about a product spec etc). cost was the part nobody mentions, glean ended up around 18 dollars per seat per mo”
“Glean is low key fantastic for knowledge. I find it nearly indispensable at work. Its super power is uncovering tribal knowledge in a company (hidden norms/undocumented process and standards.) You can also sort of do this popular wiki context graph by saving generated knowledge/context back to a source that glean indexes. Its citations are also very accurate and reliable. I also use Claude/Cowork/Code but for straight up search I would rather go back to the source than rely on MCP and burn more ”
“We’re building glean-like systems for our agency internally. $500,000k a year (min three year contract) for teams of 500+ just didn’t make sense for us”
“insanely bearish. We did not renew with them, I do the same shit in claude”
“I work at Glean and I’m literally counting the final days of this FY to bounce Product is cool at times I guess, but it has become clear in the last year that the competition has officially caught up. Customers aren’t really renewing, and they are blunt about the high cost for what it is and not capturing the ROI. GTM is a mess. To those comments saying anything different, literally go check Sales Nav for yourself, It’s a revolving door. The attrition is wild for what is supposed to be a 'hot' c”
“what if im trying to build a glean alternative for fast-scaling teams that are too small to be served by Glean.... i love Glean and all but they only service orgs over +100 FTE and you pay at least like 50k a year”
“Glean is low key fantastic for knowledge. I find it nearly indispensable at work. Its super power is uncovering tribal knowledge in a company (hidden norms/undocumented process and standards.) You can also sort of do this popular wiki context graph by saving generated knowledge/context back to a source that glean indexes. Its citations are also very accurate and reliable. I also use Claude/Cowork/Code but for straight up search I would rather go back to the source than rely on MCP and burn more ”
“I work at Glean and I’m literally counting the final days of this FY to bounce Product is cool at times I guess, but it has become clear in the last year that the competition has officially caught up. Customers aren’t really renewing, and they are blunt about the high cost for what it is and not capturing the ROI. GTM is a mess. To those comments saying anything different, literally go check Sales Nav for yourself, It’s a revolving door. The attrition is wild for what is supposed to be a 'hot' c”
“Anyone got any goss on glean? Interviewer told me everyone is smashing it, having the best time, but glassdoor and repvue tell a very different story. Looks like a churn factory.”
“It doesn’t work at all: I’ve tried reinstalling it, but all I get is a white screen. Oh well, it was nice while it lasted.”
“I work with Glean a ton and It is supper simple to setup and they have a rich set of APIs to enable you to build in-house tools if you choose. There are some good posts in here on what to consider. I can help answer any questions you have on Glean.”
“Needs a better integration with Bookmarks Toolbar. 1. Glean's impersonation of Bookmarks Toolbar doesn't show the account-synced bookmarks, only local bookmarks. Chrome merges them. 2. Glean's impersonation of Bookmarks Toolbar doesn't have a context menu item to add/remove/edit a bookmark. 3. After accidentally closing the Glean's impersonation of Bookmarks Toolbar, there is no option in the extension to bring it back.”
“The user interface of Glean is very easy to use, and the integrations that can be made to it, like connecting all the enterprise apps like Slack, Google Sheets, etc., are really easy. Also, if a complete prompt is added, the performance of the agent is really good. It has helped us with support for onboarding of new employees and supporting the team on tooling access as well. One of the things which I dislike about Glean is sometimes the agent does not perform well, even if the prompt is complet”
“We use Glean to centralize our knowledge base, and it’s very convenient to have everything in one place. It lets us quickly search for topics, create agents that can answer specific questions, and also gives us a centralized hub to use different models. The UI is straightforward and chat-based, and the integrations with tools like Slack, Jira, and Confluence make it especially powerful. Since it looks like other chat AI tools, it feels familiar and is easy to start using right away, so onboardin”
A composite of the quality dimensions weighted by mention volume, then capped by predator / abuse-detection rules.
Watch & learn

The Inflection Point for Open Source Models | Arvind Jain | Glean | AI Application Layer | Enterp...
nanachenstudio20 days ago

Glean ex-CRO on Selling AI vs. SaaS products (AJ Tennant)
StepOnePodcast12 days ago
Capabilities
Captures, organizes, and surfaces team knowledge across your documents and notes
Answers questions by searching the web and synthesizing results with sources
The honest take
Distinct themes surfaced across 332 reviews from 5 sources — each grounded in real review text, ranked by how often it comes up.
Questions
Glean is an enterprise AI platform that transforms fragmented company knowledge into contextual AI experiences by connecting over 250 business applications and systems. It creates a unified layer called an "Enterprise Graph" that understands how company data, people, and processes interconnect, enabling AI assistants and agents to provide accurate, permission-aware answers grounded in your organization's specific context.
Unlike generic AI assistants, Glean is specifically designed for enterprise environments with company-specific context and security. It understands your organization's terminology, processes, and relationships while maintaining strict access controls, so users only see information they're authorized to access. This contextual awareness enables more accurate responses and reduces hallucination problems common with AI tools that lack domain-specific knowledge.
Glean connects with more than 250 enterprise applications and systems, including popular tools like Salesforce, Slack, Google Drive, GitHub, Jira, and Confluence. The platform integrates through APIs and offers a browser extension for accessing AI capabilities within your existing workflows.
Users can interact with Glean through multiple interfaces: an AI Assistant for answering questions and generating content, customizable AI Agents that automate workflows across systems, and Enterprise Search that finds information across all connected applications. The platform also includes an Agent Builder for creating no-code automations and Agent Orchestration for managing complex workflows.
Glean is available as a web-based tool and has an iOS mobile app. The platform also offers a browser extension for accessing AI capabilities within your existing enterprise workflows.
Implementation typically takes three weeks, and companies generally reach ROI within six months. Customer case studies show high adoption rates of 80-93% across enterprise deployments, with users saving an average of 110 hours per year.
Glean offers enterprise-grade security with SOC 2 Type II, ISO 27001, HIPAA, and GDPR compliance. The platform provides full observability to track every query and answer, plus governance controls for scaling AI across large organizations while respecting existing permission structures.
Organizations report significant efficiency improvements, with users saving an average of 110 hours per year and companies seeing a 30% reduction in token usage compared to standard AI tools. The platform helps eliminate time wasted searching through multiple systems for information across sales, engineering, and support teams.
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