Guru vs Glean

The question underneath the comparison

People search this pair because both companies use similar words: AI, knowledge, permissions, agents, citations. The useful distinction is not a feature list, it is what each product assumes about your knowledge.

Guru assumes the knowledge needs work. Its pricing page is built around structuring, verifying and continuously improving a curated body of knowledge, and it sells an expert team alongside the software to do that. The bet is that quality comes from maintenance.

Glean assumes the knowledge is already out there, spread across the tools you run, and that the job is reaching it safely and cheaply at scale. The bet is that coverage and permissions matter more than curation.

If your problem is that people cannot find things, the second framing fits. If your problem is that what they find is wrong or out of date, the first one does.

Neither one will tell you the price

This is the most common question about both products and the answer is the same for each. Guru's pricing page describes the contents of a package and directs you to a scoping conversation. Glean's pricing URL redirects to its home page.

That is normal for enterprise software at this level, but it has a practical consequence: you cannot compare them on cost without entering two sales processes, and any per-seat figure circulating in a blog post is an estimate, not a published rate.

If you need a number before you can get internal approval, say so in the first call. Both companies scope by organisation size and complexity, so the shape of your deployment changes the answer more than the logo on the invoice does.

Where the two overlap most

Both enforce permissions inherited from your source systems, both cite sources on answers, and both now talk about delivering knowledge to other AI tools rather than only to their own interface. If those are your requirements, both clear the bar and the decision comes down to the curation question above.

Both are also moving toward agent governance, which is the live edge of this category. Glean names six control points on its security page, including a check of an agent's action against the user's intent and authority before it executes. Guru frames the same territory as centralised policy and audit across every consumer of knowledge.

Read those pages yourself before deciding. This is the fastest moving part of both products, and anything labelled coming soon today may well have shipped by the time you are in a procurement cycle.

MindKeepr is not an alternative to either of these for general enterprise search, and we would rather say so than pretend otherwise. Glean operates at a scale we do not, and Guru has a maintenance practice and a services team around it that we do not sell.

We are built for a narrower job: keeping the knowledge that is about to leave. The trigger is a departure, a role change or a long absence, and the behaviour that follows is the difference. When a question has no verified answer behind it, MindKeepr does not generate a plausible one. It names what is missing and routes the question to a named person with a deadline, and the answer that comes back is confirmed by somebody with the authority to confirm it.

If you are choosing a company-wide AI platform, evaluate the two above. If the thing keeping you awake is what happens when a specific person leaves in six weeks, that is our problem to solve and it is worth a separate conversation.

How much does Guru cost?

Guru does not publish list pricing. Its pricing page describes what a package includes, platform access plus a solution engineering team, and states that the team will scope the right engagement during your first conversation. Any specific per-seat figure quoted elsewhere is an estimate rather than a published rate.

How much does Glean cost?

Glean does not publish list pricing either. The glean.com/pricing URL redirects to the company home page, and the site directs you to request a demo. As with Guru, comparing the two on cost means entering both sales processes.

What is the main difference between Guru and Glean?

Guru is built around curating and verifying a body of knowledge and keeping it correct, sold with an embedded strategy team. Glean is built around searching and acting across the tools a company already runs, at scale and with attention to model cost. Guru bets on curation, Glean bets on coverage.

Who competes with Glean?

In enterprise AI search and assistants, Glean is commonly evaluated against Guru, Microsoft Copilot and the search features built into suites a company already owns. Where the requirement is specifically about retaining knowledge through departures and transitions rather than searching what exists, MindKeepr is evaluated in the same process.

Do Guru and Glean both enforce my existing permissions?

Both state that they do. Guru says permissions are inherited from existing systems and enforced in real time. Glean says source-system permissions are enforced on every read and write, and adds that an agent should not automatically receive everything the requesting user can reach.

• Guru, pricing page. www.getguru.com/pricing Checked 27 September 2026.
• Glean, glean.com/pricing (redirects to the home page). www.glean.com/ Checked 27 September 2026.
• Glean, Glean Protect and security page. www.glean.com/platform/security Checked 27 September 2026.

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