AI Internal Knowledge Assistants

Top 3 AI Internal Knowledge Assistants: Glean vs Guru vs Slab

A large enterprise needing permissions-aware search across dozens of apps, a support or sales team that wants governed, expert-verified answers, and a small team that just wants an affordable wiki with a bit of AI are all shopping for an 'AI internal knowledge assistant,' but each one needs a genuinely different one of these three.

Quick verdict

There's no single best AI internal knowledge assistant here, because the three have specialized into different jobs for different sizes and shapes of organization. Glean is built for a larger organization that needs one AI search and answer layer spanning a wide range of connected workplace apps, with permissions-aware results that respect each system's own access controls. Guru is built for a team, especially in support, success, or sales enablement, that wants governed, expert-verified answers it can trust over raw AI search results. Slab is built for a small or mid-size team that wants a simple, affordable company wiki with unified search and light AI features, rather than a heavyweight enterprise platform. Pick based on your organization's actual size and which problem, coverage, trust, or cost, is really costing you time right now.

An AI internal knowledge assistant lets employees ask a plain-language question and get an answer pulled from the company's own documentation, chats, and connected apps, instead of manually searching across a pile of separate tools. The three platforms compared here have each made a different bet on where the real value sits: the broadest possible connector coverage with permissions respected at scale, a governance layer that only surfaces answers a human expert has actually verified, or a simple, affordable wiki with AI search added as a feature rather than the whole product.

All three technically let someone ask a question and get an AI-generated answer back, but treating them as interchangeable misses what each one is actually built to solve, and for what size of organization. The right pick depends less on which tool has the longest feature list and more on how many systems you actually need indexed, how much you need every answer to have been checked by a person, and how much you're realistically willing to spend.

Methodology

How These Were Evaluated

We evaluated Glean, Guru, and Slab primarily on which organization size and knowledge problem each platform is actually built for, since the right choice depends on whether the core need is broad permissions-aware coverage, governed and verified accuracy, or a simple, affordable wiki, not a single overall ranking.

  • Connector breadth and depth of permissions-aware search across connected workplace apps
  • Whether answers are backed by any form of human expert verification or governance workflow
  • Fit for organization size: large enterprise versus small or mid-size team
  • Published pricing transparency and whether a genuinely usable free option exists
  • Ease of initial rollout and ongoing IT or admin burden
  • Where AI answers actually surface, chat interface, Slack and Teams, or browser extension

EASI7 doesn't accept payment for placement or ranking in this list - tools are evaluated on public pricing, feature scope, and fit for the specific use case named above.

At a Glance

ToolBest ForStandout FeatureStarting Price
GleanLarger organizations and enterprises that need one AI search and answer layer spanning a wide range of workplace apps, with permissions-aware results that respect each connected system's own access controlsPermissions-aware search and AI answers across a vendor-cited 275+ native connectors, synced close to real time with each source system's own access rightsNo published list price; third-party buyer reports put per-seat pricing at roughly $40-50/user/month on annual contracts (some report closer to $75), typically with a minimum around 100 seats, figures approximate and current as of 2026
GuruTeams, especially support, success, and sales enablement teams, that want governed, expert-verified answers they can trust over raw AI search resultsKnowledge cards authored and periodically re-verified by subject-matter experts, tracked by a visible Verification Score, surfaced automatically in Slack and Microsoft TeamsSelf-serve plan reported at roughly $25-30/seat/month on annual billing with a commonly cited 10-seat minimum, plus a 30-day free trial and a custom-quoted Enterprise tier; whether a permanent free tier currently exists is disputed across sources, figures approximate and current as of 2026
SlabSmall and mid-size teams that want a simple, affordable company wiki with unified search and light AI features, instead of a heavyweight enterprise knowledge platformA genuinely free tier for up to 10 users, plus AI Ask, AI Autofix, and AI Predict layered on top of a simple wiki editor and Unified SearchFree for up to 10 users; paid tiers reported at roughly $6.67/user/month (Startup) and $12.50/user/month (Business) on annual billing, with custom Enterprise pricing above that, figures approximate and current as of 2026

The Tools, One by One

1. Glean Broad enterprise AI search platform

Best for: Larger organizations and enterprises that need one AI search and answer layer spanning a wide range of workplace apps, with permissions-aware results that respect each connected system's own access controls

An enterprise AI search and assistant platform connecting to dozens of workplace apps, with permissions-aware results that respect each connected system's own access controls

Glean earns the broad-coverage slot because connector breadth and permissions, not curation, is its actual differentiator. Instead of employees searching Slack, Google Drive, Confluence, Jira, Salesforce, and GitHub one at a time, Glean indexes all of them through a native connector library vendor marketing cites at more than 275, and filters every search result and AI-generated answer through the same access rights, role, and group membership an employee already has in each underlying system.

That permissions-aware model is the real reason Glean is positioned toward larger, more complex organizations: a flat, un-permissioned index would be a security problem the moment it spans dozens of systems, and building a permissions engine robust enough to avoid that is genuinely enterprise-scale work. Glean Assistant answers questions and drafts artifacts from connected knowledge, while Glean Agents extends the same indexed knowledge into automated, multi-step tasks.

The honest tradeoff is cost transparency and accessibility: there is no published rate card, no self-serve signup, and typically a seat minimum commonly reported around 100, which rules Glean out for a smaller team regardless of how well it would otherwise fit.

For an organization running many overlapping systems that needs one AI layer across all of them, Glean is the strongest fit on this list.

Standout feature: Permissions-aware search and AI answers across a vendor-cited 275+ native connectors, synced close to real time with each source system's own access rights

Starting price: No published list price; third-party buyer reports put per-seat pricing at roughly $40-50/user/month on annual contracts (some report closer to $75), typically with a minimum around 100 seats, figures approximate and current as of 2026

2. Guru Curated, verified knowledge platform

Best for: Teams, especially support, success, and sales enablement teams, that want governed, expert-verified answers they can trust over raw AI search results

An AI knowledge platform built around expert-verified knowledge cards and a Verification Score, rather than raw indexed AI search

Guru earns the trust-and-governance slot because it solves a different problem than raw search reach: whether an answer can actually be trusted. Its core unit is the knowledge card, a short piece of content a subject-matter expert writes, verifies as accurate, and is prompted to periodically re-confirm, tracked by a Verification Score showing what share of a team's cards are current versus stale.

Knowledge Agents sit on top of that verified content and answer questions automatically inside Slack and Microsoft Teams channels with no slash command required, while a browser extension surfaces the same verified answers as a persistent side panel inside whatever app someone is already using. That design fits teams where a wrong answer has real consequences, support, customer success, and sales enablement are the classic cases, and where a human expert is willing to own accuracy for a defined set of topics.

The honest tradeoff is that the entire trust model depends on someone actually doing the verification work, and Guru's connector and raw-search breadth is narrower than a platform built to index dozens of systems. Third-party pricing sources also disagree on whether a genuinely permanent free tier currently exists.

For a team that cares more about trusting the answer than about search reach alone, Guru is the strongest fit on this list.

Standout feature: Knowledge cards authored and periodically re-verified by subject-matter experts, tracked by a visible Verification Score, surfaced automatically in Slack and Microsoft Teams

Starting price: Self-serve plan reported at roughly $25-30/seat/month on annual billing with a commonly cited 10-seat minimum, plus a 30-day free trial and a custom-quoted Enterprise tier; whether a permanent free tier currently exists is disputed across sources, figures approximate and current as of 2026

3. Slab Lightweight wiki with AI search

Best for: Small and mid-size teams that want a simple, affordable company wiki with unified search and light AI features, instead of a heavyweight enterprise knowledge platform

A lightweight, wiki-style internal knowledge base with unified search and AI features like AI Ask layered on top

Slab earns the simple-and-affordable slot because it solves the knowledge problem most smaller teams actually have: a clean place to write documentation, with search that actually works, at a price that doesn't require a budget conversation. Unified Search pulls results from Slab's own posts plus connected integrations (Google Drive, Slack, GitHub, Confluence, Jira, and others depending on tier), and AI Ask answers natural-language questions from a team's own documentation on top of that.

Its genuinely free tier, covering up to 10 users with unlimited posts and templates rather than a time-limited trial, is a real differentiator against two platforms that either have no self-serve tier at all or a disputed free offering. Paid tiers add SSO, SAML, SCIM, and the full AI suite (AI Ask, AI Autofix, AI Predict) at a fraction of enterprise-platform pricing.

The honest tradeoff is depth: Slab has no permissions-aware search model spanning dozens of systems and no formal expert-verification workflow, so its AI features are reported to be lighter than either Glean's search engine or Guru's governance layer, and the free tier doesn't include them at all.

For a small or mid-size team that wants one affordable tool for documentation and search without enterprise-platform complexity, Slab is the strongest fit on this list.

Standout feature: A genuinely free tier for up to 10 users, plus AI Ask, AI Autofix, and AI Predict layered on top of a simple wiki editor and Unified Search

Starting price: Free for up to 10 users; paid tiers reported at roughly $6.67/user/month (Startup) and $12.50/user/month (Business) on annual billing, with custom Enterprise pricing above that, figures approximate and current as of 2026

Which One Should You Actually Pick

You run dozens of overlapping enterprise systems and need one AI layer across all of them

Glean's connector breadth and permissions-aware search are built specifically for this scale; neither Guru nor Slab attempts the same coverage.

Your priority is trusting the answer, not just finding one

Guru's knowledge cards and Verification Score give subject-matter experts a direct way to confirm accuracy, which matters most for support, success, and sales enablement teams.

You have a small or mid-size team and a limited budget

Slab's genuinely free tier and low-cost paid plans make it the accessible starting point. Glean has no self-serve tier at all, and Guru's seat minimum still puts a practical floor on cost.

You have the connected systems but not the people to maintain a curated knowledge base

Glean indexes what already exists without requiring a dedicated expert to write and verify cards. Guru's model only pays off if someone is actually willing to own verification.

You want AI search as a bonus on top of a simple wiki, not the entire product

Slab's AI Ask, AI Autofix, and AI Predict sit on top of a straightforward documentation tool, which is a lighter lift to adopt than either Glean or Guru.

You want to test a tool for free before committing

Slab's free tier for up to 10 users is the only genuinely permanent free option of the three; Glean offers a sales-led evaluation and Guru's permanent-free-tier status is disputed across sources.

Explore further

Full Tool Profiles

Full Glean ProfileFull Guru ProfileFull Slab Profile

Three Different Bets Hiding Under One Category Label

"AI internal knowledge assistant" sounds like one product category, but these three tools are solving different problems for different sizes of organization. Glean bet on breadth: index as much of a company's app stack as possible and build a permissions engine robust enough to make that safe at enterprise scale. Guru bet on trust: narrow the scope to knowledge cards a real subject-matter expert has written and verified, rather than indexing everything a company has ever written down. Slab bet on simplicity and price: give a smaller team a clean wiki with real search and a bit of AI, without the enterprise platform complexity or cost. None of the three is simply a better version of the others; they're built for different organizations entirely.

Coverage, Trust, and Simplicity Are Three Different Axes

Each platform wins clearly on a different axis rather than trying to beat the other two on their home ground. Glean wins on coverage, one AI layer across the widest practical set of connected enterprise systems, with permissions respected throughout. Guru wins on trust, a visible verification workflow that tells readers, and the AI, what has actually been checked by a human expert. Slab wins on simplicity and cost, a real free tier and low-cost paid plans for a team that doesn't need either enterprise-scale connector breadth or a formal governance layer. Picking based on organization size and which problem is actually biting right now matters far more here than comparing raw feature counts.

Bottom Line

A large organization running dozens of overlapping systems, where the real pain is that nobody can find anything and IT needs assurance an AI layer won't leak access it shouldn't, should start with Glean. A team, often support, customer success, or sales enablement, where a wrong answer has real consequences and existing documentation can't be fully trusted, should start with Guru. A small or mid-size team that just wants an affordable, easy-to-adopt wiki with a reasonable amount of AI search layered on top should start with Slab. All three are established, well-adopted platforms in 2026, so the deciding factor should be your organization's actual size and which specific problem is costing you time right now.

Common questions

Slab is the clear low-cost option, with a genuinely free tier for up to 10 users and paid tiers reported at roughly $6.67 to $12.50 per user per month. Guru's self-serve plan is reported around $25-30 per seat per month with a roughly 10-seat minimum. Glean has no self-serve tier at all and is reported to run roughly $40-50 per user per month or higher on custom-quoted enterprise contracts.

Glean, in most cases. It's built around the broadest connector coverage and a permissions-aware search model designed for organizations running many overlapping systems, which is exactly the problem Guru and Slab are not trying to solve at the same scale.

This page ranks three tools across the full range of organization sizes, including Slab as the small-team, budget-friendly option. The dedicated Glean vs Guru comparison goes deeper on the head-to-head tradeoff between those two specifically, broad permissions-aware search versus curated, expert-verified knowledge cards, without weighing in a lighter wiki-style alternative.

Slab is the only one with a confirmed, permanent free tier, covering up to 10 users with unlimited posts and Unified Search (though not its AI features). Guru offers a 30-day free trial, but sources disagree on whether a permanent free tier currently exists. Glean has no self-serve or permanent free plan, only a sales-led evaluation window.

Slab and Glean both avoid requiring a dedicated human curator: Slab is just a wiki with search, and Glean indexes existing systems automatically. Guru is the one that demands ongoing effort by design, since its entire value depends on subject-matter experts writing and periodically re-verifying knowledge cards.

Yes, that's a common path. A small team often starts with Slab for its simplicity and low cost, then moves toward Glean as it grows past a size where connector breadth and permissions-aware search across many systems become necessary, or toward Guru if the bigger pain point becomes trusting the accuracy of existing documentation rather than just finding it.

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