Claro
On this page At a glance
  1. At a glance
  2. Google UCP
  3. OpenAI ACP
  4. Claude Commerce Agents
  5. The architecture difference
  6. What does not change
  7. Choose an integration without fragmenting product truth
  8. Prepare once, expose to many agent channels
  9. Related resources
  10. Further reading
  11. FAQ

Google UCP vs OpenAI ACP vs Claude Commerce Agents

A neutral comparison of Google UCP, OpenAI ACP, and Claude Commerce Agents—and the shared product-data requirements beneath all three.

published google-ucpopenai-acpclaude-commerce-agentsagentic-commerce-protocols

Google UCP, OpenAI ACP, and Claude Commerce Agents all participate in the shift toward agent-mediated shopping, but they are not three versions of the same product.

Google UCP and OpenAI ACP are commerce protocols. Claude Commerce Agents is an agent and reference-architecture approach. That distinction matters when teams compare integrations, ownership, and catalog requirements.

At a glance

Dimension Google UCP OpenAI ACP Claude Commerce Agents
What it is Commerce protocol Commerce protocol Agent and reference architecture
Primary ecosystem Google commerce surfaces and a wider protocol ecosystem ChatGPT and agent ecosystem Merchant-built Claude agents
Discovery Yes Yes Via merchant tools and backend
Cart Yes Yes Via a tool or backend
Checkout Yes Yes, including merchant-controlled paths Defined by the host deployment
Merchant agent Not the core concept Not the core concept Yes
Shopping agent External commerce surface External commerce surface Yes
Catalog ownership Merchant Merchant Merchant
Inventory and pricing Merchant systems Merchant systems Merchant backend
Human approval Merchant policy and logic Merchant policy and logic Explicit staged-write pattern
Core data problem Resolve and govern product truth Resolve and govern product truth Resolve and govern product truth

This is not a “which is best?” table. The three approaches address different deployment contexts, and a merchant may support more than one.

Google UCP

Universal Commerce Protocol defines interoperable commerce capabilities for AI surfaces, merchants, and payment providers. Google’s merchant path connects Merchant Center preparation and commerce backends to experiences such as Gemini and AI Mode. Capabilities can include discovery, cart transfer, native checkout, identity linking, and order synchronization.

UCP is most relevant when a merchant wants to participate in Google-aligned agentic shopping flows while retaining its product, offer, policy, and transaction systems. The Google UCP merchant readiness guide covers the implementation prerequisites.

OpenAI ACP

Agentic Commerce Protocol defines commerce-specific contracts spanning discovery and transaction capabilities, including feed, cart, checkout, authentication, orders, and MCP integration. It supports the ChatGPT and broader agent-commerce ecosystem while allowing merchant-controlled checkout and deeper integrations.

ACP is most relevant to teams preparing product discovery and merchant conversion for ChatGPT or compatible agent experiences. The ChatGPT shopping and ACP readiness guide explains the shared product layer beneath those delivery paths.

Claude Commerce Agents

Claude Commerce Agents describe buyer-facing shopping agents and merchant-facing operations agents built over merchant tools and systems. The important design pattern is the separation of reasoning from controlled execution: agents can search, compare, explain, inspect operational state, or propose changes while merchant tools enforce permissions and approval.

This is not a competing feed or checkout protocol. It is a way to build agent workflows on a merchant’s own backend. See the Claude Commerce Agents catalog readiness guide.

Run an Agentic Commerce Readiness Assessment

The architecture difference

Question Protocol approach Merchant-agent approach
Who defines the interface? A shared specification defines interoperable commerce messages and capabilities. The merchant defines tools over its systems within the reference pattern.
Where does reasoning happen? In the external or participating agent surface. In the deployed shopping or merchant agent.
How are actions controlled? Merchant endpoints apply business logic, authorization, and policy. Tool scopes, staged writes, approval, and backend authorization control actions.
What remains internal? Source systems and the governed product and commercial layer. Source systems and the governed product and commercial layer.

Protocols reduce bespoke connection work. Agent architectures define how reasoning and tools cooperate. Neither category substitutes for data governance.

What does not change

Regardless of platform, these remain merchant problems:

Choose an integration without fragmenting product truth

Evaluate the customer surface, required capabilities, checkout ownership, account model, commerce-platform support, operational controls, and protocol maturity. Then make channel adapters read from one canonical layer.

  1. 1
    Build the common core
    Resolve product identity, attributes, relationships, provenance, and source ownership.
  2. 2
    Connect live state
    Link price, inventory, eligibility, policy, and order systems without copying volatile values into the catalog.
  3. 3
    Publish channel projections
    Map the governed core into UCP, ACP, feeds, structured pages, or merchant-agent tools.
  4. 4
    Test by outcome
    Verify exact selection, explanation, valid action, safe failure, and traceability—not merely schema acceptance.

Prepare once, expose to many agent channels

Claro creates the canonical product layer underneath UCP, ACP, Claude agents, and whatever commerce interface comes next. It resolves duplicate identities, fills and validates missing attributes, preserves provenance, and keeps approved records current across PIM, ERP, commerce, and supplier systems.

Run an Agentic Commerce Readiness Audit

Google

Google UCP merchant readiness

Prepare product truth, commerce state, account context, and operations.

OpenAI

Prepare for ChatGPT shopping and ACP

Connect discovery, product and offer identity, freshness, and merchant conversion.

Claude

Claude Commerce Agents readiness

Design shopping and merchant agents over governed tools and catalog records.

Further reading

FAQ

Are UCP, ACP, and Claude Commerce Agents competing protocols?

No. Google UCP and OpenAI ACP are commerce protocols. Claude Commerce Agents describes an agent and reference-architecture approach for merchant-built shopping and operations workflows. They overlap in use cases but are not three equivalent specifications.

Should merchants build a separate catalog for each agent channel?

No. Merchants should govern one canonical product layer and expose channel-specific projections. Separate catalogs multiply duplicate identities, conflicting attributes, stale offers, and maintenance work.

What product-data requirements stay the same across platforms?

Canonical identity, explicit variants and relationships, normalized attributes, current price and availability, provenance, freshness, permissions, and safe failure behavior remain merchant responsibilities across every approach.

Claro

See where your catalog breaks — free

Claro runs this automatically: resolve identity, fill missing attributes, validate updates, and write clean records back into your PIM/ERP. Upload a sample supplier file for a free catalog audit.

Get a free catalog audit