FAQ

How does Profound track product appearances in ChatGPT Shopping?

Profound runs your tracked prompts through ChatGPT and checks whether each one triggers shopping mode. When it does, the full response is captured and analysed: product tiles, images, prices, merchant links, and product attributes. The data is structured and surfaced in Shopping Analysis, broken down by brand, merchant, product, and topic.

Why is my Shopping Mode Rate low?

A low Shopping Mode Rate usually means your tracked prompts don't signal strong commercial intent to AI. Terms like "buy," "shop," "where to find," or references to price and budget tend to trigger shopping results. Reviewing your prompt set for commercial intent signals is the most effective way to improve the rate.

Why don't some retailers appear in shopping feeds?

Shopping Analysis reflects what AI actually returns in response to your tracked prompts. Regional or niche retailers that don't appear in shopping responses for your category won't appear in the data. Coverage is not a complete inventory of all retailers in your market.

Why does a competitor appear in my shopping results when they have no organic visibility?

AI shopping results are not determined by organic search rankings. AI may surface a competitor's product based on their product feed quality, merchant relationships, structured data, or attribute signals that are independent of their search engine optimization (SEO) performance. Shopping Analysis helps you identify exactly this pattern: products that win AI shopping placements without traditional search visibility.

What content strategy helps with AI shopping visibility?

Profound's research found that AI shopping results lean on community discussion, consumer editorial, and review-heavy sources rather than B2B analyst content. Content optimised for AI shopping should be consumer-facing, review-oriented, and community-validated. This is a different content mix from what drives standard Answer Engine Optimization visibility.

Can Shopping Analysis handle large product catalogues?

Shopping Analysis works at the SKU level and can surface which specific products appear in AI shopping results across a large catalogue. The platform is designed to handle retail-scale product sets. If you have questions about catalogue size or configuration for a very large product feed, speak with your customer success manager.