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AI search has evolved again. UCP is taking it beyond discovery and into complete shopping missions. This seismic shift will ultimately revolutionise the way that customers interact with businesses. Google’s Universal Commerce Protocol (UCP) introduces a new standard for AI-driven commerce, enabling AI agents to move beyond search and recommendation to complete transactions on a user’s behalf. Rather than directing users to websites, UCP allows AI systems to evaluate products, apply business logic, and execute purchases within an AI interaction.

This article explains what UCP is, how it works at a high level, and why it represents a foundational shift in how businesses must structure products, data, and commerce for AI-led discovery and buying.

Read time: 3 minutes


UCP marks a shift from AI as a discovery layer to AI as a transactional interface, one capable of completing the entire purchase journey on a user’s behalf.

This introduces a new layer of commerce infrastructure and demands a different way of thinking about how products, services, and offers are defined, structured, and exposed to AI systems.

What UCP actually is

Universal Commerce Protocol (UCP) is an open standard for agentic commerce. This is commerce powered by AI agents that can do more than search, compare, or recommend.

In practical terms, UCP provides a standardised interface that allows AI agents to interact directly with merchant commerce systems.

With UCP, AI systems such as large language models (LLMs) can:

  • Discover products
  • Check availability and pricing
  • Assemble carts
  • Complete checkout
  • Handle post-purchase actions like tracking, returns, and loyalty

This is the game change: AI agents can now complete transactions without redirecting users to a merchant website.

The Key Principles Behind UCP

UCP is built around three core ideas:

1: An open standard

UCP is open-source and developed in partnership with major commerce platforms, retailers, and payment providers. The goal is interoperability, that is: one integration that works across many AI assistants.

2: A common language for commerce

UCP standardises how AI agents interact with:

  • Product catalogues
  • Inventory systems
  • Pricing logic
  • Payment services

This removes the need for bespoke integrations between every AI system and every merchant, significantly reducing integration effort and accelerating adoption across platforms.

3: Full-journey support

UCP doesn’t stop at product and service discovery. It covers:

  • Shopping cart assembly
  • Pricing and stock checks
  • Secure payments and
  • Loyalty and returns

AI agents can now run end-to-end and complete the task, not just suggest the next step.

How UCP Works… at a High Level

Structured, machine-readable commerce interfaces

Merchants expose their commerce capabilities in machine-readable formats, allowing AI agents to clearly understand:

  • What products you sell
  • Prices, availability, shipping, and returns
  • Checkout and payment logic

Standardised AI agent behaviour

Instead of scraping webpages or sending users elsewhere, AI agents call standard commerce APIs to:

  • Compare options
  • Apply offers or loyalty benefits
  • Execute checkout
  • Manage post-purchase support

A query like “Help me buy wellies for Glastonbury” can now end in a completed transaction without the user ever having to leave the conversation.

Merchants stay in control

Crucially, brands remain the Merchant of Record. This means merchants retain responsibility for compliance, fulfilment, and customer experience. You still have control over:

  • Customer data and relationships
  • Pricing and policies
  • Fulfilment and returns
  • Loyalty programmes

Using UCP AI is not a new marketplace. It’s an orchestrator.

Why This Matters Now

UCP represents a new commerce layer.

While it is driven by Google today, it reflects a broader shift toward standardised, machine-readable commerce data that AI agents across platforms, not just Google, will require to recommend and complete purchases. UCP is Google’s implementation of agentic commerce; OpenAI and others are developing their own approaches. The core requirement, however, is the same: if AI agents can’t clearly understand how you sell, they won’t recommend or transact with you.

Remember:

  • AI is becoming the primary interface for shopping decisions
  • Friction disappears, with fewer clicks and fewer drop-offs
  • Standards scale quickly, as one integration can serve multiple AI platforms
  • Visibility changes meaning — trust and clarity for AI now matter more than ranking on a page

Read next: UCP and GEO: How Do They Work Together?


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Frontier15 helps brands achieve visibility in the era of AI search, creating content strategies that make your expertise discoverable and trusted by both people and machines. Get in touch and ask us how we can map a GEO-informed content strategy that helps future-proof your brand.


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