The rapid evolution of AI shopping assistants is reshaping how consumers discover and purchase products, making commerce grade intelligence a critical requirement for the MarTech ecosystem. Responding to this shift, Criteo has introduced its Agentic Commerce Recommendation Service, a new offering designed to deliver accurate and relevant product recommendations for AI powered shopping experiences.
The Agentic Commerce Recommendation Service is built to support large language model platforms and retailer developed AI chatbots that are increasingly guiding consumer decision making. As these tools scale, Criteo argues that product recommendations must be driven by real shopping behavior rather than relying solely on publicly available product descriptions. The new service builds on the company’s previously outlined agentic commerce vision, bringing transaction ready intelligence directly into AI assisted shopping journeys.
According to Criteo, internal testing shows the Agentic Commerce Recommendation Service delivered up to a 60 percent improvement in recommendation relevancy compared with third party approaches based only on product descriptions. This performance is powered by Criteo commerce intelligence, which draws on data from 720 million daily shoppers, one trillion dollars in annual transactions, and 4.5 billion product SKUs. By leveraging this scale, the service applies real world purchase and browsing signals that are typically unavailable through traditional data crawling methods.
The service is accessible through Criteo Model Context Protocol and connects AI shopping assistants directly with merchant inventory. When a consumer submits a shopping query, the AI assistant can call the Agentic Commerce Recommendation Service to identify suitable products. Criteo then filters and ranks items using indicators such as shopper intent, product popularity, and availability before returning a curated shortlist of recommendations. This approach allows AI assistants to present personalized options, compare products, and support add to cart or checkout actions within the conversational experience.
“The real competitive advantage in agentic commerce will come from access to high-quality commerce data at scale,” said Michael Komasinski, Chief Executive Officer of Criteo. “This service brings that intelligence into AI-driven shopping experiences in a way that works for the entire ecosystem, delivering relevancy for consumers while respecting retailer data, brand integrity, and platform trust.”
Criteo notes that the Agentic Commerce Recommendation Service is designed to understand both broad exploratory intent and specific product searches. It can also expand recommendations with complementary items when appropriate, helping consumers progress naturally toward a purchase. The company has been testing the service with a major LLM platform since 2025 and is now expanding testing to additional AI platforms, retailers, and brands.
As AI shopping assistants become a mainstream interface for commerce, the Agentic Commerce Recommendation Service positions Criteo at the center of this transition. By embedding trusted commerce intelligence into AI driven discovery, the company aims to help retailers and brands maintain relevance, improve conversion, and deliver better consumer experiences in an increasingly automated shopping landscape.
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