Glean vs Guru: Enterprise AI Search or Verified Knowledge?
Glean is built for enterprise search and work AI across company apps, while Guru focuses on governed, verified knowledge that teams can trust. Both help employees find answers, but they solve different knowledge problems.
Tagline
Work AI for enterprise search, assistants, and agents.
Governed knowledge layer for enterprise AI.
Pricing
PaidCustom pricing
PaidPaid plans available
Open source
No
No
API available
Yes
Yes
Platforms
Web, Slack, Teams, Browser Extension, Enterprise apps
Web, Slack, Microsoft Teams, Chrome Extension
Key features
- • Enterprise search
- • Work AI assistant
- • Knowledge connectors
- • Agent workflows
- • Permission-aware answers
- • Verified knowledge base
- • AI answers
- • Knowledge governance
- • Browser extension
- • Workflow integrations
Glean
Work AI for enterprise search, assistants, and agents.
Pros
- + Strong internal search
- + Enterprise permissions
- + Broad app connectors
Cons
- – Enterprise implementation effort
- – Custom pricing
- – Depends on source data quality
Guru
Governed knowledge layer for enterprise AI.
Pros
- + Strong verification workflow
- + Good support and sales enablement
- + Governed knowledge controls
Cons
- – Requires knowledge maintenance
- – Team rollout needed
- – Not a general search engine
Which should you choose?
Choose Glean if…
- • You need enterprise search
- • You need knowledge management
- • You need workplace agents
Choose Guru if…
- • You need knowledge management
- • You need support enablement
- • You need internal answers
The verdict
Choose Glean if your main problem is finding information across many company systems with permissions intact. Choose Guru if your main problem is maintaining verified knowledge for support, sales, and operations teams. Large companies may use both: Glean for discovery and Guru for governed answers.