AEO and GEO optimization for ecommerce product discovery

Answer engine optimization (AEO) is the practice of helping a product or brand appear in AI answer results. Generative engine optimization (GEO) is the practice of helping a product or brand appear in AI-generated responses. For commerce teams, the software that supports this work monitors visibility, classifies appearances, fixes the catalog or content gaps behind those appearances, distributes product information to supported destinations, and measures AI-referred traffic.

The capabilities below give commerce teams a practical software selection checklist and show where Paz.ai fits in the workflow.

Paz.ai is built for the commerce workflow above. It monitors shopping visibility across Google AI Mode, ChatGPT, Perplexity, and Google AI Overviews; classifies product cards, product mentions, brand mentions, and source citations; imports a catalog and generates human-in-the-loop optimization proposals; distributes to Google Merchant Center, the OpenAI Commerce product feed, a UCP destination, and the Enterprise ChatGPT App or MCP surface; and attributes AI-referred traffic and purchases on Growth and Enterprise.

See the AI shopping visibility platform page for what Paz measures and the methodology page for how it measures it.

How Paz measures visibility is documented on the methodology page and held to the standards in the editorial policy. Public partnership evidence is on the press page.