The Problem

Win the recommendation before the shopper ever clicks.

AI now evaluates your catalog while a shopper decides what to buy. Make every product clear enough to earn the shortlist, trustworthy enough to support the recommendation, and compelling enough to win the visit.

Catalog Signal ScanAT RISK
AI readsignored340 of 1,100 SKUsare invisible to AI shopping agents.
What stands between the product and the shortlist

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.

Missing product facts

Required attributes are blank, inconsistent, or buried in unstructured copy.

Generic descriptions

Products sound interchangeable, so AI cannot explain meaningful differences.

Weak retrieval

Real shopping queries fail to surface the right SKU or category.

Unsupported claims

AI repeats claims that cannot be traced back to reliable catalog evidence.

Thin authority

The broader web does not provide enough external trust signals for the brand.

Inaccurate representation

The answer can be wrong or incomplete before the customer ever reaches your page.

The upside

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