The Search Bar That Knows Everything
Guru built its business on a simple promise: give employees a centralized place to store, find, and trust company knowledge. For years, that promise was enough. Knowledge bases filled up with onboarding docs, product wikis, and sales playbooks, and Guru sat comfortably in the workflow as the place people went when they needed an answer. Then Glean showed up and made the question itself the product.
Glean’s enterprise search layer does not ask employees to go somewhere specific to find information. It connects across Slack, Google Drive, Salesforce, Confluence, Jira, and dozens of other tools, then surfaces answers in real time wherever a person is working. That shift – from destination to layer – is where Guru’s core value proposition starts to feel thin. When search becomes ambient, a dedicated knowledge base starts to look like one more silo rather than a solution to siloing.
What Glean Actually Does Differently
Glean’s architecture is built around a unified index. Every time a company connects a new data source, Glean ingests and ranks that content using a combination of semantic search and behavioral signals – who opened a doc, how recently it was updated, how often a specific piece of content actually resolved a query. This is not keyword matching against a curated library. It is a live, probabilistic system that gets more accurate the more a company uses it. The enterprise pitch is straightforward: stop asking employees to know where things live and start letting the system figure it out for them.
Guru’s model requires intention. Someone has to decide that a piece of information is worth saving, write or paste it into a card, tag it, assign it to a collection, and keep it updated. That curation model has real advantages – verified content, clear ownership, structured knowledge. But it also has a failure mode that is endemic to every knowledge base ever built: it depends on discipline that most organizations simply do not have. Cards go stale. Collections sprawl. Employees stop trusting the system and go back to asking colleagues on Slack, which is exactly the problem the platform was supposed to solve.
Where Guru’s User Base Gets Vulnerable
Guru has historically found its strongest foothold in customer-facing teams – support, sales, and customer success. These teams need fast, accurate answers during live conversations, and Guru’s browser extension model, which surfaces relevant cards in context while an agent is working, addressed that need well. The product was built for moments of high pressure and low time, and it earned genuine loyalty in that lane.
Glean is now targeting the same moments. Its assistant mode – where employees can query the system in natural language and get synthesized answers – works inside the tools support and sales teams already use. If a support agent can type a question into a Glean sidebar and get an answer pulled from a recent product update, a closed Zendesk ticket, and a Confluence article, the case for maintaining a separate Guru library weakens considerably. Not because Guru is worse at what it does, but because the employee no longer has to go to Guru at all.
The churn risk is not loud. It shows up in renewal conversations where IT buyers ask whether they still need both tools. It shows up in budget cycles where a CIO consolidating their SaaS stack looks at Glean’s connector count and asks what Guru adds. A growing number of enterprise buyers are running pilots where Glean is positioned as the primary search interface, with existing Guru content treated as just another data source to index. In that framing, Guru becomes content, not platform.
This is a version of the same dynamic playing out across the enterprise software market, where modular best-of-breed tools are getting absorbed into broader platforms that win on connectivity rather than depth. Rippling pulled a comparable move against point HR and IT tools by building a unified data layer underneath them – a pattern that has repeatedly put category-specific vendors on defense. Glean is running the same playbook, just on knowledge.
Guru’s Defense and Where It Holds
Guru is not standing still. The company has added AI features including an assistant layer of its own, and it has leaned harder into the verification and trust angle – the idea that AI-generated answers are only as good as the content they draw from, and that Glean’s indexing of unstructured, often outdated files creates a confidence problem. There is genuine substance to this argument. A search system that returns a three-year-old policy document with the same confidence as a freshly updated one is not solving the knowledge problem, it is obscuring it.
The verification argument resonates most in regulated industries – financial services, healthcare, legal – where the cost of acting on bad information is high and someone needs to be accountable for what the system says. Guru’s card ownership model gives compliance teams a clear chain of custody. Glean’s model, for all its sophistication, still requires an organization to trust that its source documents are accurate, which is exactly the discipline gap Guru was built to close. That is a real and defensible position, but it is also a narrower market than the broad enterprise audience Guru built its growth story around.
The Pricing and Adoption Question
Glean is not cheap. Enterprise pricing for AI search sits at a level that puts it firmly in the budget conversation alongside major SaaS contracts, which means smaller companies and mid-market buyers are not necessarily rushing to replace Guru with it. For organizations under a few hundred employees, Guru’s cost structure and simplicity still make practical sense, and the overhead of deploying Glean’s connectors and managing its indexing at scale is a real implementation burden.
But enterprise software markets do not move on small and mid-market momentum alone. They move on where the biggest deals go, where the CIOs at Fortune 500 companies are placing bets, and where the category narrative gets written. Glean has raised enough capital – and landed enough high-profile enterprise customers – to shape that narrative. When Glean gets positioned as the default search interface for a ten-thousand-person organization, every specialized knowledge tool inside that org has to justify why it still deserves a seat.
Guru’s best path through this is to stop competing on search and win on trust infrastructure. The question is whether that reframing comes fast enough, and whether enterprise buyers in 2025 are willing to pay for two systems – one that finds things and one that guarantees what it finds is accurate. So far, the market has not fully decided. But Glean’s connector list keeps growing, and every new integration is one more reason an IT buyer does not pick up the phone to renew Guru.
