Agentic Commerce Knowledge Hub

The definitive resource for understanding agentic commerce: how AI agents are transforming B2B purchasing, the protocols that enable it, and the strategies businesses need to prepare. Each entry provides a clear definition, practical context for B2B businesses, and guidance on why it matters.

Core Concepts

Agentic Commerce

A model of digital commerce in which AI agents act autonomously on behalf of buyers or sellers to discover products, evaluate suppliers, negotiate terms, and complete transactions.

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AI Procurement

The use of artificial intelligence, including autonomous AI agents, to automate and optimise the purchasing process, from supplier discovery through to order placement.

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AI Purchasing Agents

Autonomous AI systems that act on behalf of business buyers to discover suppliers, evaluate products, compare pricing, and initiate purchase transactions.

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AI Visibility

How prominently and accurately a business appears in AI-generated responses, recommendations, and search results across platforms like ChatGPT, Claude, and Gemini.

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Protocols and Optimisation

Universal Commerce Protocol (UCP)

An open standard by Google and Shopify that enables AI agents to discover products, compare options, complete checkout, and track orders across any participating seller.

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Model Context Protocol (MCP)

An open protocol by Anthropic that allows AI models to securely connect with external data sources, enabling agents to query product catalogues and pricing in real time.

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Agent Commerce Protocol (ACP)

A protocol by OpenAI and Stripe that enables secure transactions between AI agents and merchants, handling checkout, payment, and order confirmation.

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Generative Engine Optimisation (GEO)

The practice of optimising content so that generative AI systems accurately represent, cite, and recommend a business in their generated responses.

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Answer Engine Optimisation (AEO)

The practice of structuring content so AI-powered answer engines can extract, cite, and present it as a direct answer to user queries.

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Structured Data for Commerce

Machine-readable product and business information using Schema.org vocabulary that enables AI agents and commerce protocols to discover and transact with a business.

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This Knowledge Hub is growing. New entries are added regularly as the agentic commerce landscape evolves.