Glean vs Guru: which should your team use in 2026?

Last updated May 2026

Glean answers: "Where is that thing that exists somewhere in our tools?" It connects to 100+ apps and gives you one search bar across all of them. Broad retrieval. AI-powered discovery.

Guru answers: "What is the verified correct answer to this question, right now?" Expert-owned knowledge cards, surfaced in Slack, Zendesk, or your browser at the moment you need them. Curated authority.

Different problems. The reader comparing these two usually needs both: Glean for finding things that exist across scattered systems, Guru for delivering trusted answers in the flow of work. Here's how they actually differ.

Side-by-side comparison

Where Glean wins

Breadth. Glean searches everything. Slack messages from two months ago. A Google Doc someone shared once. A Confluence page buried in an archived space. A Jira ticket comment. Glean indexes your entire tool stack without anyone creating separate knowledge entries. If the information exists somewhere in your company's systems, Glean can probably find it.

Guru only knows what someone wrote into a card. If it wasn't documented as a Guru card, it doesn't exist to Guru.

Zero content creation overhead. Glean indexes content that already exists across your tools. Nobody has to write anything new. Nobody has to maintain anything. The content is in Slack, Drive, and Confluence already. Glean just makes it searchable.

Guru requires card creation, ownership assignment, and verification cycles. Every piece of knowledge in Guru is there because a human put it there and another human verified it. That's a maintenance cost Glean doesn't impose.

Cross-tool context. Ask Glean about a project and get results from the Confluence doc, the Jira tickets, the Slack discussions, the Google Slides, and the email thread. The answer draws from multiple systems simultaneously. Guru answers from its own card library only.

AI depth. Glean's conversational AI and Work AI agents reason across your entire connected tool stack. The breadth of data available to Glean's AI is significantly wider than what Guru's AI can access.

Where Guru wins

Trusted answers. This is Guru's defining advantage. Every card has an expert owner. Owners verify their cards on a schedule. Stale cards are flagged. When a support agent or sales rep gets an answer from Guru, they can trust it's current and reviewed. Glean retrieves from existing sources with no verification layer. A Slack message from six months ago might be outdated. A Confluence page might be stale. Glean surfaces it anyway.

For customer-facing teams where a wrong answer has consequences (lost deal, angry customer, compliance violation), Guru's verification model matters.

In-workflow delivery. Guru's integrations with Zendesk, Salesforce, Slack, and Teams are deeper and more targeted than Glean's. A support agent in Zendesk sees the relevant troubleshooting card without leaving the ticket. A sales rep in Salesforce sees the objection-handling playbook alongside the deal record. Glean has workflow integrations too, but Guru's are more purpose-built for customer-facing moments.

Lower price floor. Guru Self-serve at $25/seat/month with a 10-seat minimum ($250/month). Glean starts at $50-60K/year with a 100-seat minimum. For a 15-person support team, Guru costs $375/month. Glean would cost $50K+ annually. Guru is accessible to smaller teams.

Simpler deployment. Guru doesn't require IT-managed deployment, sales engineering, or connector configuration. A team lead can set it up. Glean requires a procurement process.

Accountability. Card ownership creates clear accountability. You know who owns each piece of knowledge, when it was last verified, and whether it's current. Glean indexes content with no ownership model. Nobody is accountable for the accuracy of a Slack message Glean surfaced.

Where both fall short

Neither understands files deeply. Glean searches text across connected apps. Guru searches its knowledge cards. Neither searches inside PDFs by paragraph, inside video by transcript, or across images by visual similarity. Both are fundamentally text-based.

Neither creates understanding. Glean retrieves. Guru delivers verified answers. Neither maps relationships between knowledge, connects ideas across domains, or helps you build new understanding from existing content. Both are retrieval tools, not thinking tools.

Neither is a workspace. No notes editor. No spatial canvas. No meeting transcription. No task management. No publishing with analytics. No annotations on media. After you find the answer, you leave both tools to do anything with it.

Both are expensive. Glean at $50-60K+ annually. Guru at $250+/month for a small team, scaling with headcount. For enterprise knowledge management, these prices are standard. For smaller teams, they're significant.

Guru's verification bottleneck. Knowledge only enters the system if someone creates a card. Knowledge only stays current if someone verifies it. Expert owners get buried in verification reminders. The system is as good as the humans maintaining it, and humans are inconsistent.

Glean's accuracy gap. Glean retrieves from sources with no quality filter. Outdated Slack messages, stale Confluence pages, and deprecated Google Docs all surface alongside current content. The AI tries to rank by relevance, but it can't verify accuracy. More findable doesn't mean more reliable.

If you need intelligence without the enterprise overhead

Both Glean and Guru are enterprise tools with enterprise pricing, enterprise deployment, and enterprise maintenance requirements. If you're a Fortune 500 company, these costs make sense.

If you're a smaller team, a startup, or a knowledge worker who wants AI-powered search and understanding without the overhead, Fabric offers a different approach.

Fabric's AI assistant understands your entire content library across all file types. Semantic search finds things by meaning, inside PDFs, inside recordings, across images and colour palettes. But Fabric isn't just search. It's also notes, a canvas, annotations, meeting transcription, tasks, and publishing with analytics.

No verification workflow to manage. No 100-seat minimum. No $50K annual contract. No IT deployment. Generous free plan. $5/month Plus.

Fabric doesn't replace Glean's 100+ enterprise connectors or Guru's in-workflow delivery to Zendesk and Salesforce. For large organisations with those specific needs, Glean and Guru are built for that. For everyone else who wants their knowledge findable, understandable, and usable without enterprise infrastructure, Fabric covers it.

See the full comparisons: Fabric vs Glean and Fabric vs Guru.

How to choose

Use Glean if you need unified search across 100+ enterprise tools and have the budget ($50-60K+/year) and IT resources for deployment. Your knowledge exists across Slack, Google Drive, Confluence, Jira, and Salesforce and your employees can't find it. You want broad discovery without creating new content.

Use Guru if you need verified, trusted answers surfaced in customer-facing workflows. Your support, sales, or success team needs authoritative knowledge cards in Zendesk, Salesforce, or Slack. You have subject matter experts willing to own and verify content. You want accountability for accuracy.

Use both if you need broad discovery (Glean) and trusted answers (Guru). Some enterprises run both: Glean for "find me anything about this topic" and Guru for "give me the verified answer to show the customer." Adjacent tools for adjacent problems.

Try Fabric if you're not at enterprise scale. You want AI search that goes deeper across more content formats. You want a workspace, not just a search layer or answer engine. You want to find, understand, create, and publish in one place. Generous free plan.

FAQs

Do I need both Glean and Guru?

Possibly. They solve different problems. Glean is broad discovery: "find anything across our tools." Guru is curated authority: "give me the verified correct answer." If you need both capabilities, both tools have a place. The combined cost is significant.

Which is cheaper?

Guru. Self-serve at $25/seat/month with a 10-seat minimum ($250/month). Glean starts at $50-60K/year with a 100-seat minimum. For a 15-person team, Guru is accessible. Glean is not. Fabric is $5/month flat.

Does Guru search across Slack and Google Drive like Glean?

Not natively. Guru searches its own knowledge cards. It integrates with Slack and Google Drive for in-workflow delivery, but it doesn't index and search across those platforms the way Glean does.

Does Glean verify content accuracy?

No. Glean retrieves from existing sources with no verification layer. It ranks by relevance and permissions, but it doesn't flag stale content or ensure accuracy. Guru's verification model is specifically built for that.

Which handles non-text content?

Neither handles it deeply. Both are text-focused. Neither searches inside PDFs by paragraph, inside video by transcript, or across images by visual similarity. Fabric does all three.

What if I'm too small for either?

Both Glean and Guru are priced and designed for teams with dedicated budgets for knowledge management. If you're a 5-20 person team, Fabric provides AI-powered search, content understanding, and a full workspace at $5/month with no per-user pricing and no minimum seats.