What is Coveo?
Coveo is an enterprise search platform built for development and digital experience teams to deploy AI-powered search across commerce, service, website, and workplace environments. It indexes content from existing enterprise systems without requiring migration. The platform applies machine learning to rank results, generate answers, and personalize experiences by role, location, and behavioral intent. Coveo also supports agentic AI workflows, retrieval-augmented generation, and conversational product discovery. Implementation connects to existing tech stacks through a broad set of platform integrations and a developer-facing API layer.
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Features & Benefits
- AI Search: deploy ranked, intent-aware search across enterprise content using machine learning models that adapt to user behavior over time.
- Generative Answering: generate direct, source-grounded answers by retrieving and synthesizing content from indexed enterprise repositories.
- Conversational Search: accept natural language queries and return contextual responses within any enterprise search implementation.
- Conversational Product Discovery: implement natural language product navigation within B2B or B2C commerce environments.
- AI Recommendations: surface contextually relevant content, products, or resources based on behavioral signals and user attributes.
- Personalization: configure result ranking and content delivery by role, location, and individual usage patterns at the implementation level.
- Passage Retrieval: extract the most relevant passages from indexed documents to feed generative and agentic AI pipelines.
- Agentic AI and Retrieval: connect AI agents to enterprise data sources to enable retrieval-augmented generation at scale.
- Ecommerce Search: implement AI-ranked product search and discovery across B2B and B2C commerce platforms.
- AI Customer Service: deploy generative self-service and agent-assist search across support portals and contact centers.
- Workplace Search: implement a unified enterprise search layer across internal systems, knowledge bases, and employee portals.
- Website Search: configure AI-ranked, personalized search for public-facing websites, partner portals, and dealer portals.
- Analytics: access behavioral data on search performance, result relevance, and user engagement to inform ongoing tuning.
- Unified Indexing: index content across the existing technology stack at scale without platform migration.
- MCP Server: connect AI agents directly to enterprise data via a Model Context Protocol server for agentic retrieval workflows.
- Integrations: connect to enterprise platforms, CMS systems, CRMs, and commerce tools through a wide range of native connectors.
What can Coveo do?
- index content across multiple enterprise systems without migration
- personalize search results by user role, location, and behavior
- generate grounded answers from internal knowledge repositories
- deploy AI-ranked product search on B2B and B2C commerce sites
- reduce support ticket volume through self-service generative search
- implement unified employee search across internal platforms
- connect AI agents to enterprise data for retrieval-augmented generation
- tune search relevance using behavioral analytics
- power search across partner portals and dealer portals
- deliver conversational product discovery on commerce implementations
Real-World Applications
A digital commerce team at a large B2B distributor may implement Coveo’s enterprise search platform to improve product findability across a deep catalog. AI ranking adapts results to buyer context including account history, role, and industry. Development teams can configure this at the implementation level without rebuilding the existing commerce stack.
Customer experience and support engineering teams at technology companies might deploy the enterprise search platform across self-service portals and contact center tools. Generative answering pulls from indexed documentation to return direct responses to customer queries. This can reduce case submission rates while keeping the implementation within the existing service infrastructure.
IT and intranet teams managing large employee portals may connect the enterprise search platform to internal repositories, HR systems, and knowledge bases. The result is a single search layer that returns results personalized by team, function, and location. Developers configure indexing and relevance tuning through the platform without touching individual source systems.
Digital experience teams running complex public-facing web properties might use Coveo to add AI-ranked, personalized search across product pages, support content, and partner resources. The platform connects to existing CMS and DXP environments through native connectors, so implementation teams can deploy without a full infrastructure overhaul.
