Glean vs Coworker vs Guru: Enterprise AI Compared (2026)

Glean vs Coworker vs Guru comes down to one question: what should happen after the AI finds the answer? All three answer questions from your company's data, so they end up on the same shortlist. They are not the same product. Glean is built around search, Guru around verified knowledge, and Coworker around doing the work once the answer is found. The right pick depends on which of those three problems you actually have.

This comparison uses each vendor's own pages plus buyer-reported contract data, checked on 2026-09-30. Where a number comes from a third party rather than the vendor, it says so.

At a glance

Sources: Glean connectors, Glean Enterprise Flex pricing model, Vendr on Glean, Guru pricing, Vendr on Guru, Guru on G2.

Glean: the strongest pure search product

Glean is the market leader here by size, and it tops most lists of enterprise search software. It announced passing $300M in annual recurring revenue in May 2026, and its connector library is the widest of the three at 250+. Reviewers consistently praise how fast it finds things across tools and how well it respects each user's permissions.

Glean is no longer search only. Its Assistant does research and drafts content, and Glean Agents can take actions through connected systems. It also works with MCP, both as a client and by exposing its agents as tools.

Where buyers push back is cost and setup. Glean does not publish prices. Its Enterprise Flex model pairs a per-user seat with pooled usage credits that are consumed by premium models, deep research and agent runs. Contracts reported to Vendr have a median of about $99,000 a year, with minimums often cited at 100 to 250 users. That puts it out of reach for most teams under a few hundred people.

Pick Glean if your core problem is that people cannot find information across a very large number of systems, and you have the budget and seat count for an enterprise contract.

Guru: the best at keeping knowledge trustworthy

Guru's strength is governance, and it is often compared with other knowledge management tools for that reason. Content owners verify knowledge on a schedule, so teams can tell what is current and who is responsible for it. Its Knowledge Agents answer with citations and respect permissions, and its MCP server lets ChatGPT, Claude, Copilot and Cursor pull from that verified knowledge.

Guru has deliberately positioned itself as a governed knowledge layer that feeds other AI tools rather than competing with them. It lists more than 100 integrations and has a 4.7 rating from more than 2,300 G2 reviews, which is a large and consistent base of satisfied users.

Guru moved to quote-only pricing, sold as a platform plus a services package. Older third-party listings still show $25 per seat with a 10-seat minimum, but that tier no longer appears on Guru's site. Vendr reports a median contract of about $40,000 a year. The most common complaint in reviews is slower search once content volume gets large.

Pick Guru if your problem is that the answers exist but nobody trusts them, and you want a curated, verified source of truth for support and enablement teams.

Coworker: built to act on what it finds

Coworker starts from a different question: once the AI knows the answer, can it do the next step? It builds organizational memory (OM2) across your tools, mapping people, accounts, deals and decisions, and its agents act on that context. After a customer call, for example, it can update the CRM record, open the ticket and draft the follow-up.

It connects to 50+ tools with read and write access, including Salesforce, HubSpot, Jira, Slack, Zendesk, Google Drive, Notion and Snowflake. Agents can run on a schedule or on a trigger, with approval steps before anything is written. It is SOC 2 Type II, GDPR compliant and CASA Tier 2 verified.

The honest limits: Coworker has fewer connectors than either Glean or Guru, and it does not have Guru's verification workflow for curating a knowledge base. If you need HIPAA or ISO 27001 certification today, Coworker does not have those yet, so check each vendor's current certifications against your requirements.

Pick Coworker if your team already knows where the information is and the real cost is the manual work that follows: CRM updates, ticket creation, handoffs and follow-ups.

Glean vs Coworker vs Guru: how to choose

Ask which sentence best describes your problem.

1. "We can't find things." Glean is the most complete answer, if the budget fits.
2. "We find things but can't trust them." Guru is built for exactly that.
3. "We find things and then spend hours acting on them." That is the gap Coworker is built for.

Plenty of companies have more than one of these problems. Guru explicitly supports feeding other AI tools through MCP, so a verified Guru knowledge base and an action layer like Coworker can work side by side.

For a deeper look at each matchup, see Coworker vs Glean, Coworker vs Guru, our breakdown of Glean pricing, and the wider lists of Glean alternatives and Guru alternatives.

Frequently asked questions

What is the difference between Glean, Guru and Coworker?

Glean is enterprise search with 250+ connectors and agents built on top. Guru is a verified knowledge base that keeps company answers accurate and feeds them to other AI tools. Coworker builds organizational memory across 50+ tools and uses agents to take action, such as updating CRMs and creating tickets.

How much do Glean and Guru cost?

Neither publishes prices. Glean sells a per-user seat plus usage credits, and contracts reported to Vendr have a median of about $99,000 a year. Guru sells a platform plus services package, with a reported median of about $40,000 a year.

Which has the most integrations?

Glean, with 250+ connectors. Guru lists more than 100 integrations and Coworker 50+. Coworker's connectors support writing back to tools like Salesforce, HubSpot and Jira, not only reading from them.

Is Coworker a Glean alternative?

Yes, for teams whose main need is acting on company context rather than searching a very large number of systems. Teams that mainly need broad enterprise search with the widest connector coverage are usually better served by Glean.

Is Coworker a Guru alternative?

Partly. Coworker recalls company knowledge through OM2 and acts on it, but it does not replicate Guru's expert verification workflow. Teams that need a curated, verified knowledge base should look at Guru, and can connect it to an action layer through MCP.

Do all three support MCP?

Yes. Glean works as an MCP client and exposes its agents as tools, Guru offers an MCP server for its verified knowledge, and Coworker's MCP server supports search, chat and triggering agents.

Related reading

• Coworker vs Glean
• Coworker vs Guru
• Glean pricing
• Glean alternatives
• Best enterprise search software
• Guru alternatives
• Best enterprise AI knowledge management
• What is unified search?