Criteo GO is a revolutionary agentic commerce solution designed to bridge the gap between discovery and purchase by enabling AI agents to act on behalf of both retailers and consumers
Introduction
The shopping experience has officially evolved. We are no longer in the era of “clicking on banners”; we are in the era of delegated commerce. Criteo GO is the engine driving this transformation. It is the first end-to-end suite that allows businesses to scale their operations by communicating directly with a consumer’s personal AI agent. Imagine a world where your Daylight shopping agent asks, “Find me a sustainable winter coat,” and Criteo GO responds with a personalized, real-time offer, handles the size verification, and completes the sale without you ever opening a browser. Criteo GO isn’t just about finding customers; it’s about making it impossible for them not to buy by removing every ounce of friction from the transaction.
Agentic-Ready Infrastructure
Zero-Friction Checkout
Real-Time Negotiator
35% Conversion Boost
Review
Criteo GO is a revolutionary agentic commerce solution designed to bridge the gap between discovery and purchase by enabling AI agents to act on behalf of both retailers and consumers. Unveiled as part of Criteo’s 2026 “Commerce-First” initiative, Criteo GO moves beyond traditional “retargeting” ads into autonomous execution. It provides the infrastructure that allows personal shopping agents, like Daylight, to interact seamlessly with a brand’s inventory, pricing, and checkout systems in real-time.
The platform is lauded for its “Full-Funnel Agency,” where the AI doesn’t just show an ad; it negotiates a deal, verifies stock across multiple warehouses, and facilitates a “Zero-Click” checkout for the user. By 2026, Criteo GO has become the standard “back-end” for thousands of mid-market and enterprise retailers who want to be “Agent-Ready”. While competitors focus on search, Criteo GO focuses on transactional intent, reporting a 35% increase in conversion rates for brands that have enabled agent-to-agent commerce protocols.
Features
Agent-to-Agent Protocols
Enables a brand's server to "talk" to a consumer's shopping agent (like Daylight) to exchange technical specs and price offers.
Dynamic Yield Optimization
Automatically adjusts offers in real-time based on the agent's specific requirements (e.g., "Must be under $200" or "Must arrive by Friday").
Predictive Inventory Sync
Ensures that if an agent attempts a "Zero-Click" buy, the item is 100% in stock and reserved instantly.
Contextual Commerce Engine
Goes beyond cookies to understand the intent of the agentic search, providing highly relevant product matches.
Universal Checkout Bridge
Provides a secure, standardized API that allows any authorized shopping agent to complete a purchase on a retailer's site without a human filling out forms.
AI-Generated Creative
Automatically generates product imagery and descriptions tailored to the specific "logic" of the shopping agent’s query.
Best Suited for
Direct-to-Consumer (DTC) Brands
Wanting to capture sales from the millions of users now using autonomous shopping assistants.
Mid-Market Retailers
Who need elite, AI-driven growth tools without the massive engineering overhead of building their own agents.
E-commerce Managers
Focused on lowering "Cart Abandonment" by moving the checkout process into the agentic layer.
Marketing Agencies
Looking to provide "Agentic Strategy" to their clients by ensuring their product feeds are optimized for AI discovery.
Global Logistics Teams
Needing real-time data on agentic demand to optimize warehouse stocking and shipping routes.
Strengths
Future-Proofing
Massive Scale
Reduced CPA (Cost Per Acquisition)
Enhanced Privacy
Weakness
Technical Debt
Performance Dependency
Getting Started with Criteo GO: Step-by-Step Guide
Step 1: Feed Optimization
Connect your product catalog to the Criteo GO dashboard. Ensure all attributes (materials, ethical certifications, exact dimensions) are filled, as AI agents shop by “specs”.
Step 2: Enable Agentic Protocols
In your settings, toggle on “Allow Agentic Negotiations.” This permits Criteo GO to offer dynamic discounts to qualified shopping agents.
Step 3: Map Your Checkout API
Connect your “One-Click” checkout to Criteo’s Universal Bridge. This allows agents from the Daylight ecosystem to buy directly.
Step 4: Set Growth Parameters
Define your “Target ROAS” (Return on Ad Spend) and maximum discount thresholds. Criteo GO will stay within these bounds while securing sales.
Step 5: Monitor the "Agentic Loop"
Review your dashboard to see how many sales were “Human-Initiated” vs. “Agent-Executed.” Use these insights to further optimize your product specifications.
Frequently Asked Questions
Q: Is Criteo GO an ad tool or a shopping tool?
A: It is an Agentic Commerce Engine. It uses ad-tech data to find the right user, but its main job is to help the user’s agent complete a purchase.
Q: Does it work with the "Daylight" app?
A: Yes. Criteo GO is one of the primary “retailer-side” partners that allows Daylight agents to get real-time price drops and “Zero-Click” checkout access.
Q: How does the AI negotiate?
A: Based on your set parameters, Criteo GO can offer a “one-time” discount to an agent to close a sale if the agent is comparing your product to a lower-priced competitor.
Pricing
Criteo GO moves away from traditional CPM (Cost Per Mille) toward a performance-based “Growth” model.
| Plan | Pricing Basis | Target |
| Criteo GO Starter | CPA-Based | Small-to-Mid businesses scaling via agentic discovery. |
| Criteo GO Professional | CPA + Small Platform Fee | High-volume retailers requiring advanced A/B testing and AI creative. |
| Enterprise / Agent-First | Custom Performance Tiers | Global brands looking to dominate the Daylight and autonomous shopping market. |
Alternatives
Google Shopping (Agent Mode)
Google's 2026 response, focusing on the Gemini-powered "shopping concierge" within the Search app.
Amazon "Rufus" API
A closed-loop agentic tool for brands selling exclusively on Amazon.
Microsoft Dynamics 365 Commerce
Focuses more on the "retailer-side" AI for supply chain and CRM than the "consumer-agent" interaction.
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