ChatGPT Shopping, when it shows up and how to track it
Klaas FoppenHow often shopping is activated
This chart shows the percentage of ChatGPT web search responses that include shopping features (product cards, shopping recommendations, price comparisons) across all prompt types. The rate varies significantly based on the intent behind the user's prompt.
Important: This metric only includes ChatGPT responses where web search was triggered (responses with citations). Shopping features can only appear when ChatGPT searches the web.
What this means for you
Across all prompt types, ChatGPT attaches shopping features to only a low single-digit percentage of web-search responses, but the rate moves in visible steps rather than a smooth line. In this window it roughly doubled overnight in late May before falling back weeks later, a pattern that says OpenAI actively tunes when product cards appear rather than leaving it to chance.
The all-prompts average also understates what matters for e-commerce: shopping features concentrate on commercial and transactional prompts, where trigger rates run far higher. Product visibility inside ChatGPT is an emerging sales channel whose volume is controlled by a dial OpenAI can turn at any time.
How to act on it
- Get your product data AI-ready now (complete Product schema markup, accurate prices and availability, and a clean merchant feed) so your catalog is eligible whenever shopping triggers for your category.
- Run the commercial and transactional prompts your buyers actually use and record whether shopping cards appear and which brands fill them; a step change in this chart usually means OpenAI opened (or closed) a window for your category.
- Treat ChatGPT shopping like Google Shopping in its earliest days: modest traffic today, but the brands that establish product visibility before the feature scales will be hardest to displace later.
How we collect this data
We collect millions of prompt responses, citations, and click data from the actual user interfaces of major AI platforms: over 26 billion data points and growing. This gives us one of the largest datasets on how AI search engines cite sources and recommend brands.
Real UI monitoring
Data straight from the interfaces of ChatGPT, Gemini, Perplexity, Claude, AI Overviews, and more.
26B+ data points
Over 26 billion analyzed citations, prompts, and responses, one of the largest AI search datasets available.
Continuously updated
Refreshed constantly so the trends you see reflect the latest behavior of AI search engines.
Aggregated & public
Published freely for the GEO community, based on aggregated, non-identifiable trends.
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