Assess Your Catalog for AI Search Visibility

If AI search can’t see your products, neither can the next generation of shoppers. Let’s explore how your catalog shows up in AI answers and where you win (or lose) against competitors.

fabric’s Visibility Assessment includes 3 clear scores:

Catalog Visibility — How often your products show up in AI search answers
Category Benchmark — Your visibility compared to top brands in your categories
Peer Analysis — Your visibility versus listed competitors in your categories

How to Interpret Your Results

Your assessment will score visibility in one of four ways:

High Visibility = strong, complete, intent-aligned product data that surfaces broadly
Medium Visibility = good foundation with meaningful gaps, inconsistency
Low Visibility = sparse or unclear data that AI struggles to interpret
Limited Visibility = missing critical data to compete for category visibility

Our AI search assessment uses Product Agent’s Monitor capabilities to evaluate how clearly AI search engines can understand, rank, and recommend a product using four signals:

• Attribute Completeness — Required and category-specific attributes
• Attribute Quality & Structure — Clean, consistent, machine-readable data
• Intent Relevance — Alignment with how shoppers describe products in AI search
• AI Understanding Confidence — How easily an AI can determine what the product is and when it should appear