Track recommendations by shopping need
Look beyond a search for your product name. Follow the questions shoppers ask about fit, compatibility, price and use case, then see which products appear.
For e-commerce, merchandising and product teams
Shoppers describe a budget, a use case and a few non-negotiables. See how your products appear in AI recommendations, identify the attributes your pages leave unclear, and understand the competing products and paid placements around the answer.
What you can do
Focus on product-level evidence: what is recommended, how it is described and whether the information supports the shopper’s actual requirements.
Look beyond a search for your product name. Follow the questions shoppers ask about fit, compatibility, price and use case, then see which products appear.
Review specifications, variants and descriptions for information a buyer needs to compare. Replace vague claims with precise, approved attributes where the product supports them.
Compare the products recommended alongside yours and the reasons given for each. Identify where your pages leave a genuine differentiator difficult to find.
Review observed ad placements alongside product recommendations. Understand the surrounding competitive activity without treating a paid placement as an organic endorsement.
Keep exploring: Your product page was built for humans. AI agents can't read it.
Translate a buying constraint
A shopper choosing a carry-on bag needs facts that can be compared, not another adjective in the description.
Buying requirement
Too vague to evaluate
Cabin-ready design
Useful product evidence
External dimensions including wheels and handles.
Buying requirement
Too vague to evaluate
Lightweight construction
Useful product evidence
Empty weight and usable capacity.
Buying requirement
Too vague to evaluate
Convenient storage
Useful product evidence
Laptop compartment dimensions and opening type.
Illustrative attribute review. Airline limits vary by carrier and fare; product dimensions do not establish universal cabin acceptance.
Start with a priority category
You do not need to rewrite your entire catalog at once. Begin with products that matter commercially and questions their specifications can answer.
Define the shopper’s constraints, such as size, budget or compatibility. Compare how your product and credible alternatives appear in those answers.
Make product attributes, variants and policy references explicit. Check that important details agree across the product page and the information your team distributes.
Track the same buying scenarios after updates. Review recommendation patterns separately from paid placements and your own conversion reporting.
Readable product information supports discovery, but does not guarantee a recommendation, ad placement or sale. Shopping experiences vary by model and market.
Built on the platform
Understand the product information available to AI and the paid activity surrounding shopping answers.
The questions your buyers ask, and the facts that decide the answer.
Put a product in context
Bring a priority product category. Explore the recommendations, product information gaps and competitive activity that deserve your team’s attention.
We use cookies to enhance your browsing experience, serve personalized content, and analyze our traffic. By clicking "Accept All", you consent to our use of cookies. You can manage your preferences or learn more about our cookie policy.