---
title: "AI Commerce & Shopping Analysis | Rankscale"
url: https://rankscale.ai/features/shopping-analysis
description: "AI commerce and ecommerce visibility tracking. See which brands, products, and merchants appear in ChatGPT Shopping, Google AI Mode Shopping, and Bing Copilot Shopping results: product recommendations, retailer placements, sponsored ad placements, and competitive visibility across AI shopping queries."
---

We now support Meta Muse Spark. [Track your Spark prompts](/features/ai-rank-tracker/meta-muse-spark)

# AI Commerce & Shopping Analysis

See which brands, products, and merchants appear in ChatGPT Shopping, Google AI Mode Shopping, and Bing Copilot Shopping results: product picks, retailer visibility, and competitive data when users ask where to buy. Built for retail and ecommerce teams who need to optimize for AI commerce across every major engine.

[Start Free Trial](https://rankscale.ai/pricing) ([md](https://rankscale.ai/pricing.md))

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Trusted by 1000+ active users from brands and agencies worldwide

## Why AI Commerce & Shopping Analysis?

Traditional rank tracking measures mentions in open-ended answers. Shopping Analysis focuses specifically on ecommerce product discovery: who appears when users are closest to purchase across AI commerce surfaces.

### Built for AI commerce intent

Shopping Analysis focuses on ecommerce queries where users compare products, look for deals, or ask where to buy. Metrics reflect actual AI commerce behavior, not broad brand mentions.

### Products & placements

See which products and offers appear in ChatGPT Shopping, Google AI Mode Shopping, and Bing Copilot Shopping answers. Understand which recommendations match your catalog and where there are gaps to close.

### Brands & merchants together

Track manufacturer brands and retailers in one place. See when a competing seller takes the top spot, or when your brand appears without your preferred retail partners.

### Benchmark competitively

Compare your shopping visibility against competitors on the same prompt sets. Use the same scheduling and engine configuration as the rest of Rankscale.

## What you get

Shopping Analysis is part of the Rankscale platform. Engine lists, schedules, and workspaces work the same way as your other AI visibility workflows.

## Track sponsored ads in AI shopping answers

AI commerce surfaces mix paid placements with organic recommendations. Ad placements shows which advertisers run sponsored ads for your shopping queries across ChatGPT, Google AI Mode, and Copilot, how your own ads stack up on share of voice, and where the gaps are.

[Explore Ad Analytics](/features/ad-analytics)

### Sponsored ads in AI shopping answers

ChatGPT, Google AI Mode, and Copilot surface sponsored advertiser placements alongside organic picks. Rankscale captures those ad cards for your tracked queries so paid placements are no longer a blind spot.

### Own share of voice vs advertisers

See Your Ad Appearances, Runs with Ads, and Own Share of Voice next to an advertiser leaderboard ranked by observed appearances — keyed by destination domain.

### Query breakdown and trends

Know which search terms produce ads, how many advertisers show up, and how appearance rates move over time when you drill into an advertiser or query.

### Creatives and run evidence

Inspect sample listings and recurring ad items (title, creative, destination, average position), then open recent runs to QA what was actually shown.

### Shopping-native visibility

Rankscale focuses on AI shopping results across ChatGPT, Google AI Mode, and Bing Copilot, where AI recommends products and sellers. You measure what matters for purchase-oriented queries, not broad mentions.

### Brands & merchants

Track both manufacturer brands and retailers in the same workflows. See who gets recommended, who takes the top placement, and how that changes across queries.

### Competitive retail & ecommerce intelligence

Benchmark your appearance against competitors on the AI commerce prompts that drive revenue. Spot categories and query types where you are underrepresented in AI shopping answers.

## Why use AI Commerce & Shopping Analysis?

Rankscale brings the same rigor you expect from AI visibility tracking to the AI commerce and ecommerce use case. See who appears in ChatGPT, Google AI Mode, and Bing Copilot Shopping when users are ready to buy.

### Product & merchant signals

See which products and sellers appear for your tracked terms. Merchandising, marketplace, ecommerce, and brand teams share one view of AI commerce performance.

### Query coverage you control

Define the ecommerce and shopping-oriented prompts and markets you care about. Rankscale runs on your schedule so AI commerce trends show up without manual spot checks.

### Stakeholder-ready context

Pair AI Commerce & Shopping Analysis with Rankscale dashboards and exports so insights fit planning sessions, retailer negotiations, and executive reporting.

[Start Your Free Trial](https://rankscale.ai/pricing) ([md](https://rankscale.ai/pricing.md))

“Rankscale is a powerful way to understand how your brand is showing up - and why.”

SEO & CRO Manager

## Related features

Explore more ways to monitor and improve your AI visibility.

- [AI search tracker](/features/ai-rank-tracker) ·

- [AI citation analysis](/features/ai-citation-tracking) ·

- [Fanout wins, losses, and probed domains](/features/query-fanout) ·

- [ChatGPT Follow-up Forms](/features/chatgpt-follow-up-forms)

## Frequently Asked Questions

Rankscale answers common questions about AI Commerce & Shopping Analysis across ChatGPT, Google AI Mode, Bing Copilot, and ecommerce and retail visibility in AI answers.

### 01 What is AI Commerce & Shopping Analysis in Rankscale?

AI Commerce & Shopping Analysis tracks how brands, products, and merchants appear in ChatGPT Shopping, Google AI Mode Shopping, and Bing Copilot Shopping results: product recommendations, retailer mentions, and top placements when users ask shopping-related questions. It is designed for ecommerce, retail, and brand teams who need visibility in AI-driven product discovery, not just in traditional web search.

### 02 Which AI commerce and shopping engines does Rankscale support?

Rankscale tracks AI commerce placements across ChatGPT Shopping, Google AI Mode Shopping, and Bing Copilot Shopping in a single workflow. Per-engine breakdowns let you see where products and merchants appear most often and how ecommerce visibility differs across the three surfaces.

### 03 How is this different from regular AI rank tracking?

General rank tracking focuses on mentions and citations in broad AI answers. AI Commerce & Shopping Analysis focuses on the ecommerce context: which products, brands, and sellers appear when users compare options or look for where to buy. This lets you measure retail and ecommerce competitiveness in ChatGPT, Google AI Mode, and Bing Copilot Shopping specifically.

### 04 Who is AI Commerce & Shopping Analysis built for?

It is built for ecommerce, retail, marketplace, and DTC brand teams who need to optimize product, merchant, and retailer visibility in AI commerce surfaces. Merchandising, brand, GEO, and growth teams use it to see where their catalog wins or loses in AI shopping answers.

### 05 Can I compare my brand to competitors in shopping results?

Yes. Rankscale helps you see how often you appear versus competing brands and merchants for the same ecommerce query sets across ChatGPT, Google AI Mode, and Bing Copilot Shopping, so you can spot gaps in assortment, messaging, or retailer coverage in AI commerce surfaces.

### 06 Does Rankscale track sponsored ads in AI shopping answers?

Yes. Rankscale captures sponsored advertiser ads across ChatGPT, Google AI Mode, and Copilot for your tracked shopping queries. You see Your Ad Appearances, Runs with Ads, Own Share of Voice, an advertiser leaderboard, sample listings, and a query breakdown — with served-but-not-shown placements noted but never counted. For a dedicated walkthrough, see Ad Analytics.

### 07 Is there a free trial?

Yes. You can try the Pro plan free for 7 days with a limited credit allowance, so you can explore AI Commerce & Shopping Analysis alongside the rest of Rankscale on your own topics, ecommerce categories, and markets end-to-end before committing. The trial converts to a paid Pro subscription only if you choose to continue, and you can cancel anytime from your account settings.

Still have questions? [Contact our team](mailto:support@rankscale.ai)

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