Guru

Name: Guru
Brand: Guru
Rating: 4.7 (3439 reviews)

The AI Source of Truth that connects company knowledge and continuously builds trust.

Est 2013|Valuation $230M|Raised $68M|91 Ref Customers

LinkedIn 29K|Web traffic 525K|FTEs 60|HQ Philadelphia, Pennsylvania, US

MarketsLegal Research

Platform CoversCS Knowledge Management System (KMS)Knowledge Management AI Assistant

01Competitive Landscape

| Aspect | Guru | Confluence (Atlassian) | Slab | |--------|------|-------------------------|------| | Starting Price | Published per-seat pricing shown on the vendor pricing page | Free tier for small teams; paid tiers available via vendor pricing | Free tier for small teams; published per-user pricing available from the vendor | | Common Use Cases | Teams seeking verified, in‑workflow answers and governance signals for AI responses | Teams integrated into the Atlassian ecosystem that need doc-centric knowledge and Jira integration | Teams seeking a wiki-first experience with a lower entry price | | Key Strength | Verification and content governance model; workflow integrations; cited answers and permission awareness | Long-form doc authoring, structure, ecosystem, and administrative features | Low-friction wiki adoption, straightforward pricing, and simple plans | | Key Weakness | Search and taxonomy challenges as knowledge bases scale; card format can constrain long-form documentation; higher effective entry cost for small teams | Potential for sprawling documentation without governance; complexity for non-technical teams | May lack some enterprise governance features and the specific verification workflows emphasized by Guru |

Narrative analysis

- Where Guru tends to be effective - Delivering answers within workflow tools is a consistent theme: Slack app workflows (for example, asking questions, creating cards from messages, verifying content from Slack) and browser extension surfacing are frequently cited adoption drivers. - Verification is a central operating model: designated verifiers, verification queues, reminders, and automation are used to maintain content currency. - Where competitors can be stronger - Confluence - More suitable for long-form documentation, engineering and product documentation, and organizations invested in Atlassian tooling. - Free tier and lower entry price can make Confluence easier to justify for small teams. - Slab - Offers a wiki-first approach with a lower entry cost and a free tier; includes verification features that address some of the same problems. - Notion - Chosen by teams that require unified docs plus lightweight databases and process tracking in a single workspace; changes in community perceptions about AI pricing were discussed in 2026. - Market share and adoption trends - Public market share is difficult to verify from accessible sources. Review presence across major review platforms indicates notable adoption in the knowledge management category.

01Competitive Landscape

Aspect	Guru	Confluence (Atlassian)	Slab
Starting Price	Published per-seat pricing shown on the vendor pricing page	Free tier for small teams; paid tiers available via vendor pricing	Free tier for small teams; published per-user pricing available from the vendor
Common Use Cases	Teams seeking verified, in‑workflow answers and governance signals for AI responses	Teams integrated into the Atlassian ecosystem that need doc-centric knowledge and Jira integration	Teams seeking a wiki-first experience with a lower entry price
Key Strength	Verification and content governance model; workflow integrations; cited answers and permission awareness	Long-form doc authoring, structure, ecosystem, and administrative features	Low-friction wiki adoption, straightforward pricing, and simple plans
Key Weakness	Search and taxonomy challenges as knowledge bases scale; card format can constrain long-form documentation; higher effective entry cost for small teams	Potential for sprawling documentation without governance; complexity for non-technical teams	May lack some enterprise governance features and the specific verification workflows emphasized by Guru

Narrative analysis

Where Guru tends to be effective
- Delivering answers within workflow tools is a consistent theme: Slack app workflows (for example, asking questions, creating cards from messages, verifying content from Slack) and browser extension surfacing are frequently cited adoption drivers.
- Verification is a central operating model: designated verifiers, verification queues, reminders, and automation are used to maintain content currency.
Where competitors can be stronger
- Confluence
  - More suitable for long-form documentation, engineering and product documentation, and organizations invested in Atlassian tooling.
  - Free tier and lower entry price can make Confluence easier to justify for small teams.
- Slab
  - Offers a wiki-first approach with a lower entry cost and a free tier; includes verification features that address some of the same problems.
- Notion
  - Chosen by teams that require unified docs plus lightweight databases and process tracking in a single workspace; changes in community perceptions about AI pricing were discussed in 2026.
Market share and adoption trends
- Public market share is difficult to verify from accessible sources. Review presence across major review platforms indicates notable adoption in the knowledge management category.