Criteo S.A. launches Agentic Commerce Recommendation Service, boosting AI assistant relevancy up to 60%

Criteo rolls out agentic recommendation service for AI shopping assistants

Agentic Recommendations Aim to Replace Description-Only Matching

Criteo S.A. introduces its Agentic Commerce Recommendation Service on Feb. 5, 2026, positioning the product as a way to power AI shopping assistants with commerce-grade recommendations that go beyond public product descriptions. The service translates shopper queries into curated, transaction-ready product recommendations by applying real-world shopping and purchase signals, a move intended to improve the relevance of suggestions generated by LLM-based assistants and retailer chatbots.

In Criteo’s early testing, the commerce-signal approach delivers up to a 60% improvement in recommendation relevancy compared with third-party methods that rely solely on product descriptions. The company emphasizes that combining behavioral and transactional context with assistant-driven conversation produces recommendations that are more likely to match intent and convert, because they reflect what shoppers actually buy rather than how products are described.

Built on Criteo’s previously published agentic commerce vision, the service is available through the company’s Model Context Protocol (MCP), which directly connects AI-powered shopping assistants to merchant inventory. Criteo frames the offering as a way to create “transaction-ready” experiences inside conversational interfaces — surfacing items that can be acted on immediately, rather than returning links or descriptions that require extra discovery steps.

Integration route and merchant protections

Criteo says the Model Context Protocol provides a practical integration path for merchants and AI platform providers seeking to improve recommendation accuracy and shopper relevance without exposing sensitive merchant data. The company markets the service as scalable for a proliferating number of AI assistants and oriented toward measurable revenue uplift by enabling assistants to present products that are ready for purchase.

Platform scale underpins relevancy claims

Criteo supports its relevancy claims with platform scale: roughly 720 million daily shoppers, about $1 trillion in annual transactions and 4.5 billion product SKUs. The company presents that breadth of behavioral and transactional data as the commerce-native signal set required for outcome-based personalization at scale, reinforcing its positioning as a global platform connecting the commerce ecosystem. The launch is announced in New York and aims to accelerate the use of commerce-native signals in conversational commerce.