You’ve read three Glean vs Guru vs Slite comparisons already. They all list the same features in different order. None answer the question you actually have: when you search for your company’s expense policy at 4 PM on a Friday, which tool gives you the current version — not last year’s draft buried in someone’s Google Drive?
That’s retrieval accuracy. Every comparison ignores it. This one doesn’t.
Why Feature Lists Don’t Tell You What You Need to Know
All three tools claim AI-powered search. But “AI-powered” means completely different things in each.
Glean indexes everything into a centralized database — enterprise search pulling from 100+ connectors into one searchable layer. Guru structures knowledge into verified cards with subject-matter-expert approval workflows. Slite keeps it document-centric: a clean workspace with an AI “Ask” feature that searches your docs directly.
These aren’t cosmetic differences. They determine how often you get the right answer on the first try. A feature list tells you all three have “AI search.” But Glean’s AI searches across everything you’ve ever stored anywhere. Guru’s AI searches what your experts have verified. Slite’s AI searches what your team has written.
Same label. Completely different retrieval profiles. Here’s how each actually performs.
Glean vs Guru vs Slite: What Actually Matters
| Best For | Price | Setup | First-Try Strength | |
|---|---|---|---|---|
| Glean | 200+ people | $25+/user/mo | Weeks | Scattered info across 15+ tools |
| Guru | 20–100 people | $15/user/mo | Days | Verified, expert-approved answers |
| Slite | 5–20 people | $8/user/mo | Hours | Documents your team creates |
Glean is enterprise search, not a knowledge base. It connects to Slack, Google Drive, Confluence, Salesforce — everything — and indexes it all into one searchable layer. When your company’s knowledge lives across 15 tools and nobody remembers where anything is, Glean’s indexed approach is the only one that works at scale.
The tradeoff: Glean doesn’t create or manage knowledge. It only finds what already exists. Setup requires IT involvement and takes weeks. Pricing is opaque and enterprise-only — no free trial, just demos. If you’re a 30-person startup, this isn’t built for you.
Guru takes the opposite approach. Instead of indexing everything, it structures knowledge into cards that subject-matter experts verify and approve. Search for your refund policy and Guru returns the version your support lead confirmed last week — not the draft someone abandoned in a shared folder.
That verification workflow is Guru’s edge and its burden. Maintained cards deliver high retrieval accuracy. Unmaintained cards deliver stale answers with false confidence. For teams looking to automate knowledge maintenance, AI automations can help keep content current. At $15/user/month with transparent pricing and a free trial, it’s the practical middle ground for teams that care about answer quality, not just search speed.
Slite is the one you set up before lunch. Clean interface, AI “Ask” feature, $8/user/month — and a free plan to start with. Lowest cost by a wide margin.
The scope is narrower. Slite works primarily with documents you create inside it. It won’t pull answers from your Slack threads or Jira tickets. But for small teams whose knowledge lives in docs they write and maintain, that narrower scope actually helps. Less noise, fewer wrong results, higher first-try accuracy on the content that matters.
If you’re also rethinking how your team captures knowledge — not just searches it — Notion AI vs Obsidian vs Mem covers the note-taking layer.
The table tells you which tool fits your team size. It doesn’t tell you about the risk that matters most.
The Hallucination Problem Nobody Mentions
All three tools use AI to summarize answers. All three can hallucinate — generate confident, specific responses that are flat wrong. The difference is how each one handles it.
Guru’s verification system is the strongest defense. Cards carry verification status, expert attribution, and expiration dates. When the AI surfaces an unverified card, the distinction is visible immediately. You know whether you’re reading confirmed information or an AI’s best guess.
Glean has a subtler risk. Its indexed approach can surface an outdated document with high confidence — the AI doesn’t know your travel policy was superseded last quarter. It just knows the old version matches your query perfectly. More connectors means more opportunities for stale information to rank high.
Slite’s narrower scope works in its favor here. Fewer sources mean fewer chances for the AI to confuse information across contexts. Teams that keep their docs current see solid accuracy-per-query from the “Ask” feature.
The practical rule for all three: click through to the source document. Never trust an AI summary for compliance, legal, or financial decisions. That applies whether you’re paying $8 per seat or $25. For similar accuracy concerns with external information retrieval, see this AI research tools comparison for how these tools handle enterprise search.
You know the tools. You know the risks. One question left.
The Bottom Line by Team Size
That expense policy from the top? Here’s which tool finds the current version.
5–20 people, limited budget: Slite. Set it up in an afternoon at $8/user. The AI search handles document-based knowledge well enough that you won’t miss the enterprise features you’re not paying for. You don’t need 100 connectors when your knowledge fits in one tool.
20–100 people, verified accuracy matters: Guru. The verification workflow prevents stale answers from reaching your team. $15/user is worth it when wrong information has real consequences — support procedures, onboarding docs, compliance policies.
200+ people, data scattered everywhere: Glean. When information lives across 15+ tools and people leave faster than wikis get updated, indexed search is the only approach that scales. Budget for enterprise pricing and an enterprise-length setup.
Under 10 people? You don’t need any of these yet. A shared Google Drive or a decent note app with a naming convention everyone follows will outperform a $15/seat tool your team quietly ignores.
Retrieval accuracy isn’t a line item on a feature comparison chart. It’s the thing you notice at 4 PM on a Friday when you need an answer and the tool either delivers or doesn’t. Pick the one built for how your team actually works.