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Coveo sells AI-powered search and relevance software that helps big companies' websites, support desks, and employees find the right information fast.
Coveo makes the search box smarter. When you type a question into a company's help site, or when a customer service agent hunts for an answer while you wait on the phone, there's a decent chance Coveo's software is doing the digging behind the scenes. It connects to all the places a company keeps information — product manuals, old support tickets, web pages, internal documents — and uses AI to surface the most relevant answer to each person.
The company splits its business into two main pieces. One serves customers on the outside, powering self-service portals and e-commerce sites so people can find products and answers without calling anyone. The other serves employees on the inside, acting like a smart search layer across a company's own tools so workers stop wasting time hunting for documents. Customers pay a subscription, usually priced by how much content or how many users they're searching across, which makes the revenue recurring and predictable once a deal is signed. Coveo's pitch is that most companies are sitting on a mess of information scattered across dozens of systems, and generic search tools do a bad job of connecting it. Big rivals like Microsoft bundle search into their own platforms, and a crowd of smaller AI vendors compete for the same budgets. Coveo's bet is that a dedicated relevance engine, trained on each customer's own data, beats the built-in option — and it leans on that idea to win large enterprise accounts.
Coveo is based in Quebec, Canada, and has been pushing hard into generative AI. It launched tools that let the same search engine feed chatbots and AI assistants, so when a customer or employee asks a plain-English question, the system can pull the right source material and draft a grounded answer. That's the growth story investors are watching: whether the AI wave expands the market for smart search or lets cheaper competitors eat into it.
Saved answer · last researched 15 Nov 2026