Conversational Discovery
Coveo Conversational Product Discovery is an agentic AI layer built directly into Coveo for Commerce that lets shoppers describe needs in natural language and receive curated product results, answers, and comparisons — all within the existing search interface, not a separate chatbot.
Publisher review
Coveo Conversational Product Discovery is an agentic AI layer built directly into Coveo for Commerce that lets shoppers describe needs in natural language and receive curated product results, answers, and comparisons — all within the existing search interface, not a separate chatbot. It is designed for mid-market to enterprise retailers who want to improve conversion from exploratory traffic without replacing their current search stack or losing merchandising control. Unlike standalone conversational tools that fragment the shopping journey, Coveo embeds conversation into the core of commerce search, preserving the speed, relevance, and deterministic layouts that merchandisers depend on. The tool is available as an add-on for Coveo for Commerce customers and is aimed at retailers with large catalogs who need to guide shoppers from vague intent to purchase-ready selections.
The system works through a Discovery Agent that interprets shopper intent in real time, retrieves products from the indexed catalog, and assembles responses grounded in catalog data and enterprise guardrails. Key capabilities include a Unified Conversational Experience that blends chat into search results, Adaptive Canvas & Discovery Layouts that dynamically switch between product search, comparison, bundles, and education views depending on the shopper's question, and Contextual Refinement that preserves full context across multi-step interactions — so a shopper can refine, compare, and bundle without losing their place. Intent-Driven Orchestration coordinates multiple AI models to decide whether to refine the query, retrieve products, or present educational content, all while respecting merchandising rules. Coveo also offers over 15 proprietary AI models, including Listing Page Optimizer and Product Recommendations, and provides enterprise certifications such as ISO 27001, SOC 2 Type II, and GDPR/CCPA compliance, plus 99.999% uptime SLA.
Coveo is recognized as a Leader in the Gartner Magic Quadrant for Search and Product Discovery (2025). Its primary competitors in the e-commerce search and product discovery space include Algolia, Bloomreach, Elastic, and Lucidworks. Unlike Algolia's developer-first search API or Bloomreach's content-and-commerce platform, Coveo differentiates by embedding conversational AI directly into the search experience rather than layering a chatbot on top. It also offers a MACH Alliance-certified, composable, API-first architecture that integrates with 100+ cloud and on-premise content sources, and a Merchandising Hub that gives retail teams deterministic control over layouts, content guardrails, and AI behavior — a feature set that appeals to merchants who want AI-driven discovery without sacrificing manual oversight.
The honest trade-off: Coveo Conversational Product Discovery is not a standalone product — it requires an existing Coveo for Commerce subscription, which can be a significant investment for smaller retailers. The conversational experience is search-native, meaning it augments rather than replaces the search bar; retailers expecting a full chatbot replacement may find the scope narrower than standalone conversational AI platforms. While Coveo offers over 15 AI models, the complexity of configuring intent orchestration and adaptive layouts may require dedicated technical resources or professional services. Additionally, the tool's effectiveness depends heavily on the quality and completeness of the indexed product catalog — retailers with sparse or inconsistent product data may not see the same lift in conversion or dead-end reduction. No explicit user-reported weaknesses were found in the provided sources, but the dependency on Coveo's ecosystem and the learning curve for merchandisers to set up guardrails are real considerations.
How it works
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Unified Conversational Experience
Blends conversational AI directly into the existing search interface so shoppers can ask questions and get product results without leaving the search flow.
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Adaptive Canvas & Discovery Layouts
Dynamically switches between product search, comparison, bundles, and education layouts based on the shopper's intent, rendering consistently across devices.
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Contextual Refinement
Preserves full conversation context across multi-step interactions, allowing shoppers to refine, compare, and bundle without losing their place.
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Intent-Driven Orchestration
Coordinates multiple AI models to interpret shopper intent, retrieve products, and assemble responses grounded in catalog data and merchandising rules.
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Merchandising Hub
Gives retail teams deterministic control over layouts, content guardrails, and AI behavior, ensuring the conversational experience stays on-brand.
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Enterprise Security & Compliance
Certified for ISO 27001, SOC 2 Type II, GDPR/CCPA, and operates with 99.999% uptime SLA across multi-region hosting in North America, Europe, and APAC.
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Over 15 Proprietary AI Models
Includes models for conversational discovery, listing page optimization, product recommendations, and more, engineered specifically for e-commerce.
Strengths and trade-offs
Strengths
- Improves search efficiency and relevancy by interpreting natural language queries and returning curated product results grounded in catalog data.
- Guides shoppers from intent to purchase with context-aware multi-step refinement, reducing dead-end experiences and increasing conversion.
- Preserves merchandising control through deterministic layouts, content guardrails, and policy-driven AI execution, so retail teams retain oversight.
- Offers enterprise-grade security and compliance certifications including ISO 27001, SOC 2 Type II, and GDPR/CCPA, plus a 99.999% uptime SLA.
Trade-offs
- Requires an existing Coveo for Commerce subscription, making it inaccessible to retailers not already using the Coveo platform.
- The conversational experience is search-native and augments rather than replaces the search bar, which may not meet expectations for a full chatbot replacement.
- Configuring intent orchestration and adaptive layouts may require dedicated technical resources or professional services, increasing time to value.
- Effectiveness depends heavily on the quality and completeness of the indexed product catalog; sparse or inconsistent data will limit the tool's ability to reduce dead-end searches.
Pricing context
Available as an add-on for Coveo for Commerce; Coveo offers flexible AI-Search plans with scalable, modular pricing for unique business needs. No specific tier prices or per-query costs were disclosed in the provided sources.
Getting started with Conversational Discovery
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Sign up for Coveo for Commerce
Contact Coveo sales to subscribe to Coveo for Commerce, which is required before adding Conversational Discovery. Choose a plan that matches your catalog size and traffic volume, and complete the onboarding process to get your tenant provisioned.
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Connect your product catalog
Use Coveo's API or pre-built connectors to index your product catalog into the platform. Ensure your catalog data is complete and consistent, including titles, descriptions, prices, and attributes, as the tool's effectiveness depends on data quality.
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Configure the Discovery Agent
In the Coveo administration console, enable the Conversational Discovery add-on. Set up the Discovery Agent by defining intent categories, merchandising rules, and content guardrails through the Merchandising Hub to control how the agent responds to shopper queries.
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Test a natural language query
Open your store's search interface and type a natural language query, such as 'find a waterproof jacket under $100'. Verify that the agent returns curated product results, comparisons, or bundles within the search results, and refine the configuration if needed.
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Monitor and optimize performance
Use Coveo's analytics dashboard to track conversion rates, dead-end searches, and shopper engagement with conversational results. Adjust intent orchestration and layout rules based on data to improve relevance and reduce friction over time.
Frequently Asked Questions
What is conversational product discovery in e-commerce?
Conversational product discovery lets shoppers describe their needs in natural language and get curated product results, answers, and comparisons within the search interface. It blends AI conversation directly into commerce search, helping guide shoppers from vague intent to purchase-ready selections without leaving the search flow.
How does Coveo Conversational Product Discovery work?
Coveo uses a Discovery Agent that interprets shopper intent in real time, retrieves products from the indexed catalog, and assembles responses grounded in catalog data and enterprise guardrails. It coordinates multiple AI models to refine queries, retrieve products, or present educational content while respecting merchandising rules.
What are the key features of Coveo's conversational AI for retail?
Key features include a Unified Conversational Experience that blends chat into search results, Adaptive Canvas & Discovery Layouts that switch between product search and comparison views, Contextual Refinement for multi-step interactions, and Intent-Driven Orchestration that coordinates AI models while preserving merchandising control.
What are the benefits of using conversational AI for e-commerce search?
Conversational AI improves search efficiency by interpreting natural language queries and returning curated product results. It guides shoppers from intent to purchase with context-aware multi-step refinement, reducing dead-end experiences and increasing conversion. It also preserves merchandising control through deterministic layouts and policy-driven AI execution.
What are the trade-offs of Coveo Conversational Product Discovery?
Coveo requires an existing Coveo for Commerce subscription, so it is not a standalone product. The conversational experience augments the search bar rather than replacing it, which may not meet full chatbot expectations. Configuring intent orchestration and adaptive layouts may require dedicated technical resources or professional services.
How does Coveo compare to other e-commerce search platforms like Algolia?
Unlike Algolia's developer-first search API, Coveo embeds conversational AI directly into the search experience rather than layering a chatbot on top. Coveo offers a MACH Alliance-certified, composable architecture with a Merchandising Hub for deterministic control, appealing to merchants who want AI-driven discovery without sacrificing manual oversight.
Alternatives
How Conversational Discovery compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Conversational Discovery
- Pricing
- Available as an add-on for Coveo for Commerce; Coveo offers flexible AI-Search plans with scalable, modular pricing for unique business needs. No specific tier prices or per-query costs were disclosed in the provided sources.
- Target
- Coveo Conversational Product Discovery is an agentic AI layer built directly into Coveo for Commerce that lets shoppers describe needs in natural language and receive
- Strength
- Improves search efficiency and relevancy by interpreting natural language queries and returning curated product results grounded in catalog data.
- Watch for
- Requires an existing Coveo for Commerce subscription, making it inaccessible to retailers not already using the Coveo platform.
Gong
- Pricing
- Custom/Contact sales (estimated $10k+/year per seat)
- Target
- Revenue teams managing deal risk and forecast accuracy
- Deployment
- Cloud SaaS
- Strength
- Deep CRM integration and AI-driven deal risk scoring
- Watch for
- High cost and complex setup for smaller teams
Chorus
- Pricing
- Custom/Contact sales (estimated $5k-$10k/year per seat)
- Target
- Sales teams needing call recording and coaching
- Deployment
- Cloud SaaS
- Strength
- Zoom-native recording with automated call summaries
- Watch for
- Limited multi-channel coverage beyond calls
Fathom
- Pricing
- Free tier available; paid plans start at $19/user/month
- Target
- Small to mid-size sales teams and individual reps
- Deployment
- Cloud SaaS
- Strength
- Free tier with unlimited recording and AI summaries
- Watch for
- Less advanced analytics and CRM automation than enterprise tools
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Sources
Reporting on this tool draws on these publicly available sources.