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Software agents that search, compare and complete purchases on a buyer's behalf. They read structured catalog data and transact through protocols like ACP and MCP.

An agentic storefront is a conversational shopping experience layered onto an existing ecommerce site. It interprets a shopper’s question, retrieves current facts from a canonical catalog, and assembles relevant cards, comparisons, and explanations, while each AI engine retains control over its own selections and citations.

ChatGPT brand visibility dashboards can show whether your brand appears in AI answers, but they do not prove that your products are readable, matchable, or buyable by AI engines. Ecommerce teams should audit the catalog inputs that ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews can read: feeds, schema.org fields, identifiers, taxonomy, freshness, and checkout endpoints.

GEO tools usually measure brand visibility in AI answers, including mentions, citations, prompts, competitors, and sentiment. Ecommerce teams also need a second layer: product data that is structured, consistent, taxonomy-aligned, and available through feeds or endpoints that AI answer engines and shopping agents can read.