Track Product Visibility in AI Shopping | Share of Model™

ShoppingVisibility

AI engines are no longer just assisting shopping journeys. They decide which products appear, how they are described, and which alternatives are recommended. They are becoming the new retail front door. Managing visibility in AI shopping environments requires the same level of discipline as managing physical shelves.

How It Works

How Shopping Visibility Works

Shopping Visibility gives you a clear, actionable view of how AI shopping engines understand, rank, and recommend products across categories.

STEP 1

STEP 2

STEP 3

01. Define

DefineYourProductContext

Set the foundation for the analysis by defining:

This context anchors how AI shopping answers are generated and evaluated.

Core Shopping Capabilities

Everything you need to analyze, compare, and monitor product visibility in AI shopping engines.

Product Ranking in AI Shopping

See which products are recommended, in what order, and for which shopping intents. Understand visibility gaps between your catalog and competitors across categories.

Product Mention Analysis

Identify how often products are mentioned and in which contexts: Top selling points, Best value, Top sellers. Understand what drives inclusion or exclusion.

Category & Competitive Analysis

Analyze AI shopping visibility at category level: which brands & sellers dominate recommendations, which attributes AI associates with each product, and how positioning differs by market or language.

Citation & Source Mapping

Understand which sources influence AI shopping answers: Retailers, Marketplaces, Reviews, Editorial content. Identify where to invest to improve AI driven recommendation outcomes.

Seller & Marketplace Visibility

Track which sellers are recommended by AI: Marketplaces, Direct to consumer sites, Retail partners. Understand how seller presence impacts product selection.

Product Visibility Over Time

Monitor how AI shopping visibility evolves: before and after launches, after pricing or assortment changes, and following content or retail strategy updates.

What Teams Use Shopping Visibility For

Designed for teams shaping product visibility in AI-powered shopping journeys.

Ecommerce teams

Identify which products AI recommends and why some SKUs are invisible.

Brand teams

Understand how AI interprets product value, quality, and differentiation.

Retail & marketplace teams

Optimize presence across sellers and distribution channels.

Media & activation teams

Turn AI shopping insights into activation signals for search, retail media, and performance campaigns.

Need a Bit More Info?

What is Shopping Visibility in Share of Model?

It measures how AI shopping engines recommend products, brands, and sellers, revealing ranking logic, citations, and competitive gaps inside conversational shopping experiences.

How is this different from classic ecommerce analytics?

Classic analytics measure traffic and conversion after a click. Shopping Visibility measures what happens before the click, inside AI recommendations where choices are made.

Can I track competitors and marketplaces?

Yes. You can compare brands, products, and sellers across categories, markets, and AI shopping prompts.

How do teams activate these insights?

Insights can be used to: