---
title: "Agentic Commerce"
description: "Agentic commerce is commerce where an AI agent participates in product discovery, comparison, negotiation, checkout, or post-purchase work on behalf of a user or organization. The agent may recommend options, fill forms, call merchant APIs, track constraints, or initiate a purchase after receiving authorization."
canonical_url: "https://promptmetheus.com/resources/llm-knowledge-base/agentic-commerce"
---

> Index of every page on this site: [llms.txt](https://promptmetheus.com/llms.txt)

Agentic commerce is commerce where an AI agent participates in product discovery, comparison, negotiation, checkout, or post-purchase work on behalf of a user or organization. The agent may recommend options, fill forms, call merchant APIs, track constraints, or initiate a purchase after receiving authorization.

The term covers a spectrum of autonomy:

- assisted shopping, where the agent researches and drafts actions;
- delegated checkout, where the user approves a specific transaction;
- recurring procurement, where the agent acts within predefined limits; and
- autonomous purchase attempts for time-sensitive scenarios such as inventory drops or ticket releases.

Agentic commerce requires more than a chat interface. Merchants need machine-readable product data, structured availability and pricing, clear return policies, authenticated APIs, fraud controls, and payment protocols such as [Agent Payments Protocol (AP2)](https://promptmetheus.com/resources/llm-knowledge-base/agent-payments-protocol-ap2).

The main technical challenge is authority. A merchant must know what the user allowed the agent to do, whether the item and price match that authorization, and who is accountable if the transaction is wrong. [Verifiable intent](https://promptmetheus.com/resources/llm-knowledge-base/verifiable-intent) is one approach to preserving that evidence.

Agentic commerce also changes discovery. Product pages, feeds, APIs, [llms.txt](https://promptmetheus.com/resources/llm-knowledge-base/llms-txt), and [agents.txt](https://promptmetheus.com/resources/llm-knowledge-base/agents-txt) may become part of how agents decide which merchants are usable.

Google frames AP2 as infrastructure for AI commerce in its [Agent Payments Protocol announcement](https://cloud.google.com/blog/products/ai-machine-learning/announcing-agents-to-payments-ap2-protocol).

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