Coveo Redefines Ecommerce Discovery with Search-Native Conversational AI

Coveo Launches Conversational Product Discovery, Unifying Conversations and Commerce Search

Coveo (TSX: CVO,OTC:CVOSF), the leader in AI-powered relevance for digital experiences, today announced the launch of Coveo Conversational Product Discovery, a new capability within Coveo for Commerce that allows shoppers to discover products through natural language conversations embedded directly within the search experience.

Unlike standalone AI chatbots that fragment shopping journeys, Coveo Conversational Product Discovery integrates conversation into the core of commerce search. Shoppers can describe what they need in their own words and receive curated product results grounded in catalog data all while retaining the speed, relevance, and merchandising control that is part of a traditional search experience.

With Coveo Conversational Product Discovery, shoppers can:

  • Describe shopping needs using natural language
  • Receive curated product results quickly
  • Refine results through follow-up questions
  • Compare products and key attributes
  • Build bundles of complementary products

By supporting context-aware conversational refinement and product education within search, the experience helps shoppers move from exploratory intent to confident purchase decisions faster.

"Shoppers don't think in keywords," said Peter Curran, general manager of Commerce at Coveo. "Imagine if someone walked into a store and just said 'shoes'. Unfortunately, most digital stores can handle that only if they're lucky."

Built on Coveo's agentic orchestration architecture, the discovery agent coordinates multiple AI capabilities to interpret shopper intent, retrieve relevant products from a retailer's catalog, and assemble responses that remain grounded in catalog data and merchandising rules. Retail teams maintain control through defined layouts, content guardrails, and merchandising directives that shape how results appear.

Key benefits include:

  • Turning exploratory traffic into revenue by guiding shoppers from vague needs to curated product selections
  • Preserving high-performing search experiences by augmenting search rather than replacing it with chatbots
  • Maintaining merchandising control through deterministic layouts and policy-driven AI execution
  • Dynamically structuring conversational responses through adaptive layouts that combine products, comparisons, and guidance in a cohesive results view
  • Reducing dead-end experiences with guided refinements and next-best suggestions

Availability

Coveo Conversational Product Discovery is available today as an add-on feature for Coveo for Commerce.

Watch it in action here

About Coveo

Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect their data to their customers and employees to maximize business outcomes.

Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person's journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products.

Stay up to date on the latest Coveo news and content by subscribing to the Coveo blog, and following Coveo on LinkedIn and YouTube.

Forward-Looking Information

This press release contains "forward-looking information" and "forward-looking statements" within the meaning of applicable securities laws (collectively, "forward-looking information"). This forward-looking information is identified by the use of terms and phrases such as "may", "would", "should", "could", "might", "will", "achieve", "occur", "expect", "intend", "estimate", "anticipate", "plan", "foresee", "believe", "continue", "target", "opportunity", "strategy", "scheduled", "outlook", "forecast", "projection", or "prospect", the negative of these terms and similar terminology, including references to assumptions, although not all forward-looking information contains these terms and phrases. In addition, any statements that refer to expectations, intentions, projections, or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not historical facts but instead represent management's expectations, estimates, and projections regarding future events or circumstances.

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SOURCE Coveo Solutions Inc.

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The Conversation (1)
Saloni Jain
Saloni Jain
24 Mar, 2026

This feels like a smarter direction for ecommerce search—people naturally describe what they want rather than typing perfect keywords. If the results stay accurate and don’t overwhelm users, it could reduce drop-offs and make discovery much smoother. For sellers, it also means product data and descriptions need to be clearer than ever so AI can interpret them properly. And as discovery spreads across different systems, listing on multiple platforms, including places like TrueGether, can help maintain visibility.

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