AI shopping: visibility, shopping cards, and buyer prompts
In Analysis → Shopping, track Top Products, appearances by model, shopping-card rate, and high-intent shopper questions. Drill into a SKU to replay Appearance History with prompts, dates, and sources—evidence, not vanity metrics.
Three lenses: who recommends you, how answers are formatted, and what shoppers actually ask
Align merchandising and GEO with the same surfaces your customers see inside assistants: ranked SKUs, structured shopping cards versus text, and long-tail buying questions tied to appearances.
From catalog and prompts to SKU-level history, then feed and copy fixes
Frame the shopping prompts you care about, read the Shopping dashboard, open Appearance History for proof, and ship catalog and positioning updates with clear before/after signals.
01/03
Connect commerce data to how assistants recommend products
Product feeds, merchant surfaces, and review signals matter most when they are wired into the same loop as AI shopping monitoring—so fixes land where listings and pricing actually change.
- ChatGPT
- Gemini
- Perplexity
- Google AI
- Shopify
- Merchant Center
