Observed Signal · Feb 18, 2026 · Product Launch · Source: Adzine · Impact: 3/5 · Sentiment: Positive
Criteo Launches AI-Powered Shopping Recommendations for Chatbots
Criteo announced a new product that supplies curated product recommendations to large language model (LLM) platforms and retailer-owned chatbots. The service draws on Criteo’s Commerce Intelligence data and analytics, reportedly powered by signals from 720 million daily shoppers and an annual transaction volume of about USD 1 trillion. Technically, the recommendation service exposes commerce-context responses via the Model Context Protocol (MCP), allowing AI assistants to request and receive relevance-ranked product suggestions that consider popularity, availability and individual preferences. The Agentic Commerce Recommendation Service was tested with a “large LLM platform” since 2025 and is planned to roll out to additional platforms, retailers and brands in the coming months. Criteo positions the product as a way to bring large-scale commerce data into AI-driven shopping experiences while protecting retailer data and brand integrity.
Product launch from an established AdTech vendor introduces commerce data integration for LLMs and chatbots, which can affect retail media, personalization and agentic commerce monetization but is not a major-platform policy or technical release.
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Key Takeaways & Evidence Grounding
- Criteo launched a product to provide product recommendations for AI shopping assistants and LLM platforms.
- The service is built on Criteo’s Commerce Intelligence platform, using data from 720 million daily shoppers.
- Criteo says its dataset represents approximately USD 1 trillion in annual transaction volume.
- The recommendation service operates via the Model Context Protocol (MCP) to translate assistant queries into curated product suggestions.
- The Agentic Commerce Recommendation Service was tested with a 'large LLM platform' in 2025 and will expand to more platforms, retailers and brands.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Criteo Unveils AI Strategy to Boost Ad Revenue
AdTech company Criteo outlined its AI ambitions, announcing new AI tech and pilot programs built on its Model Context Protocol (MCP), an integration point for LLMs to access Criteo’s data without exposing the brand. The approach centers on evaluating whether LLMs can generate better shopping results using Criteo data. Monetization options discussed include licensing data to LLMs, CPC-style advertising, affiliate or performance deals, or per-crawl/per-query fees. A concrete product, Audience Agent, enables six-click, natural-language campaign setup and analytics. Criteo also envisions extending open programmatic campaigns to Meta and TikTok via its own ad-buying seat, while acknowledging measurement tradeoffs like incremental ROAS. Both the live status of partnerships and the exact revenue model remain undecided. The company emphasizes its data assets and user scale as potential competitive advantages in AI-enabled commerce.
AI Becomes Our Shopping Adviser
The article examines how generative AI and chat assistants have shifted product discovery from a menu of options to a single recommended answer, changing who does the deliberation work in shopping. Surveys cited (Clutch, Klaviyo, Riskified) show widespread consumer use of AI for product research and notable shares acting on recommendations. Major platforms and retailers are moving toward "agentic" commerce: OpenAI experimented with checkout and began showing labelled sponsored messages in early 2026; Amazon’s assistant narrows choices and can now buy under set rules; Google announced a commerce standard at NRF with retailers and payment firms. The piece highlights emerging practices such as Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO), growing sponsored placements inside chat replies, trust issues (automation bias, mixed survey trust), and broader market effects including concentration of spend around the names AI surfaces.
Criteo Report: AI Aids Shopping but Stops Before Checkout
Criteo's "2026 Commerce & AI Trend Report," based on a January–February 2026 consumer survey of 6,379 people across the US, UK, Germany, France, Japan and South Korea, finds AI increasingly central to product discovery but rarely completing purchases. Marketplaces (36%) and search engines (28%) remain the dominant search entry points; AI assistants account for 14% as a complementary channel. Consumers use AI mainly for research and comparison—nearly half use AI tools for product comparisons while only 8% report buying through those tools. Visual (44%) and voice (26%) search are rising, and respondents prioritize a mix of personalization and unexpected discovery. Trust factors—privacy (46%) and protection against manipulated content (52%)—and strong brand recognition (75%) remain decisive for completing purchases.
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