CatalogSignalWin the recommendation before the shopper ever clicks.
Give your best products a better chance to make the shortlist. Find missing facts, unclear differences, and unsupported claims, then focus your team on the fixes that help AI match your products to real shopping needs.
Missing the evidence needed to match the shopping requests in this example scan.
Prioritize the missing product facts so more of your catalog can be considered.
Six gaps that can keep a strong product from being recommended.
Each gap is also a practical growth opportunity. Close the highest-impact ones and give AI stronger evidence to find, compare, trust, and recommend the right product.
Required attributes are blank, inconsistent, or buried in unstructured copy.
Products sound interchangeable, so AI cannot explain meaningful differences.
Real shopping queries fail to surface the right SKU or category.
AI repeats claims that cannot be traced back to reliable catalog evidence.
The broader web does not provide enough external trust signals for the brand.
The answer can be wrong or incomplete before the customer ever reaches your page.
Make every product easier for AI to recommend and shoppers to choose.
Close the highest-impact gaps first, strengthen the evidence behind each product, and create more opportunities to earn the shortlist and the visit it creates.
Get a preliminary catalog check