Shopping intent
Group questions by use case, feature, price, audience, and occasion. Focus on the comparisons most relevant to the products you sell.
Understand how your products appear in AI-assisted shopping. Connect product information, merchant pages, and comparison questions to identify what needs attention.
What is a good lightweight carry-on for frequent travel?
Dimensions, weight, materials, and laptop storage.
Current price, availability, delivery, and returns.
Product pages, reviews, warranty, and retailer links.
Shopping decisions depend on concrete details. Make sure the information people find is useful and current.
Group questions by use case, feature, price, audience, and occasion. Focus on the comparisons most relevant to the products you sell.
Record which products appear in relevant answers, how they are described, which alternatives are included, and where shoppers are directed.
Review product names, identifiers, descriptions, images, variants, prices, and availability. Find missing attributes and inconsistent records.
Connect product detail pages, feeds where supported, reviews, policies, and retailer information into a more coherent product record.
Product information and visibility research work best as one coordinated process.
Identify the situations and constraints that shape product comparisons, from intended use to budget and required features.
Move from an isolated screenshot to a clear view of what the shopper is being shown.
An old price, a missing size, or an unclear return policy can make a product harder to compare. Keep priority attributes and purchase information aligned across the sources you control.
Use recurring questions and observed information gaps to guide updates to the catalog, product pages, and retailer material. Platform coverage is agreed around the markets and products in scope.
Start with the shopping questions and product details that matter most to your customers.