Glossary / Agentic Commerce

Agent Discovery

Agent discovery is the process by which an AI agent finds and surfaces a product, brand, or merchant as a candidate answer to a buyer's intent.

Agent discovery is the agentic-commerce equivalent of ranking — except the output is a recommendation inside an answer, not a list of blue links. The agent does not show ten options for the buyer to evaluate; it shows the few it has already judged best. Being one of those few is the entire game.

Winning agent discovery depends on agent-readable data, accurate product feeds, clean entity records, and source authority the AI engine already trusts. A brand can have strong search rankings and still be invisible to agents if its data is not structured for machine retrieval.

FAQ

What is agent discovery?

It is how an AI agent finds and selects a brand or product as a candidate to recommend in response to a buyer's request.

How is agent discovery different from search ranking?

Search returns a list for a human to evaluate. Agent discovery returns a short, pre-judged recommendation set inside an answer.

Related: Agentic Commerce | Agent Shelf | Agent-Readable Content | Retrieval Anchor

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