Agentic Commerce

AI agents are beginning to browse, compare and buy on a shopper's behalf. Google's Universal Commerce Protocol and OpenAI's Agentic Commerce Protocol are competing standards for how that transaction happens, and both read structured product data — which puts your Merchant Center feed at the centre of a channel that did not exist two years ago.

9 guides · Updated August 2026

Getting your feed ready

Agents cannot infer what your feed does not state. The attributes that were merely nice to have for Shopping ads — precise categories, complete identifiers, genuine descriptions — become the difference between being considered and being skipped.

Frequently asked questions

What is agentic commerce?

Agentic commerce is a new model where AI agents browse, compare, and purchase products on behalf of consumers. Instead of a human clicking through search results, an AI assistant handles the entire shopping journey—from product discovery to checkout.

How does agentic commerce affect Google Shopping advertisers?

AI agents evaluate your product feed data directly rather than relying on ad placements. Feed quality, structured data completeness, and pricing accuracy become even more critical. New ad formats like Direct Offers let brands participate in AI-mediated shopping experiences.

What is the difference between UCP and ACP?

Google's UCP builds on existing Merchant Center infrastructure. OpenAI's ACP is an open standard requiring new API endpoints. Most Google Shopping advertisers should prioritize UCP readiness first, then evaluate ACP for broader reach.

How do I prepare my product feed for agentic commerce?

Ensure every product has accurate titles, descriptions, prices, images, GTINs, availability, and product categories. Add conversational attributes that help AI agents answer shopper questions. Keep your feed updated in real-time. Use the UCP Product Feed Readiness Checklist for a complete audit.

Agentic commerce rewards feeds that are complete and accurate, and punishes the rest quietly. SKU Analyzer surfaces the feed gaps and tracks how product data changes over time.

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