Glean vs Guru vs Notion AI 2026: AI Enterprise Knowledge Management Top 3 Compared
Glean (AI Work Assistant leader; $40-100/user/yr) vs Guru (wiki + AI search + knowledge card; $15-30/user/yr) vs Notion AI (workspace + AI Q&A; $20-25 + AI $10/user). Time-to-answer -65%, productivity +30%, onboarding -50%.
Verdict:Mid-market (100+) → enterprise running a multi-SaaS stack who need universal search + generative AI + agents → Glean. SMB → mid-market (50-500) with sales/CS wiki + verification needs → Guru. All-in-one modern workspace (doc + db + wiki + AI) for a 50-2,000 person modern tech company → Notion AI.
Table of Contents
Glean & Guru Overview
Glean
$4.6B valuation; 500+ customers including Databricks/Pinterest/Reddit/Sony/Confluent/Duolingo; AI Work Assistant category leader; Universal Search (100+ connectors) + Glean Assistant + Glean Agents; $40-100/user/yr ($100K-2M).
Learn more about Glean →Guru
$240M; 2,000+ customers including Slack/Spotify/Shopify/Square; modern wiki + AI search + knowledge card + verification workflow; $15-30/user/yr.
Learn more about Guru →Feature & Pricing Comparison
| Feature | Glean | Guru |
|---|---|---|
| Strengths | Universal Search across 100+ connectors (Slack/Drive/Confluence/Salesforce/Jira/Zendesk/GitHub/Notion) + Generative AI Assistant + Glean Agents | Knowledge card + verification workflow + Slack/Chrome extension browser-first UX |
| Pricing | $40-100/user/yr (Enterprise Universal Search; $100K-2M) | $15-30/user/yr (wiki + AI search) |
| Target size | Mid-market (100+) → Fortune 500; multi-SaaS stack | SMB → mid-market; sales/CS wiki centric |
| Customer references | Databricks / Pinterest / Reddit / Sony / Confluent / Duolingo | Slack / Spotify / Shopify / Square |
| Universal Search connectors | 100+ (Salesforce/Zendesk/Jira/Confluence/GitHub/Notion/Slack/Drive/Box/SharePoint/Workday/Greenhouse) | 30+, wiki-first content |
| AI agents | Glean Agents (autonomous tasks: onboarding/weekly report/customer issue investigation) | AI Assistant focused; agentic capability limited |
| Permission-aware | SSO/SCIM/source-system ACL fully inherited | Card-level permission; partial source-system ACL inheritance |
Our Verdict
Our Verdict
Mid-market (100+) → enterprise running a multi-SaaS stack who need universal search + generative AI + agents → Glean. SMB → mid-market (50-500) with sales/CS wiki + verification needs → Guru. All-in-one modern workspace (doc + db + wiki + AI) for a 50-2,000 person modern tech company → Notion AI.
Recommendations by Use Case
Enterprise universal search
Databricks/Pinterest references; 100+ connectors; permission-aware; Glean Agents
Sales/CS wiki + verification
Slack/Shopify references; knowledge card; quarterly verification; browser extension
All-in-one modern workspace
100M+ users; doc + db + wiki + AI; $20-25 + AI $10/user
Engineering org (GitHub/Jira)
Deep GitHub/Jira/Confluence integration; code search; SO for Teams
Strict multi-SaaS permission
SSO/SCIM/source-system ACL fully inherited; best enterprise security
Detailed Reviews
More Comparisons
Squibler vs NolanAI
A 6-point comparison of AI screenplay tools Squibler and NolanAI, covering script generation, industry-standard formatting, structure support, collaboration, and pricing, plus how Sudowrite differs.
NovelAI vs Sudowrite
A detailed 6-point comparison of NovelAI and Sudowrite, the go-to AI novel-writing tools. We break down pricing, prose style, long-form support, and the editing environment, and explain where the third option, Novelcrafter, fits.
InVideo AI vs Pictory
Compare InVideo AI and Pictory for AI photo slideshow video creation across pricing, generation method, assets, music, and export quality. We also cover narration-focused Fliki to help you choose by use case.
Jenni AI vs QuillBot
Compare Jenni AI, QuillBot, and Grammarly for AI-assisted essay and academic writing. Evaluate price, text generation, paraphrasing, citations, plagiarism checking, and language support to find the best fit for papers and English writing.
AI Marketing Tools by Our Team
SaaS products developed and operated by the AIpedia team.