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A structured export of the catalog (id, title, description, link, image, price, availability) in the Google Merchant Center spec, the format most shopping surfaces ingest.

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.

How does generative engine optimization work? For ecommerce, it makes product information easier for ChatGPT, Gemini, Perplexity, Copilot, and AI Overviews to retrieve, parse, verify, and connect to checkout-capable records where supported.

Generative engine optimization is the practice of structuring content and product data so AI answer engines can retrieve, understand, summarize, and cite it accurately. For ecommerce, the key unit is the canonical product record: price, availability, identifiers, taxonomy, images, shipping, and checkout facts that stay consistent across pages and feeds.