OpenAI launches a Shopping Research tool in ChatGPT that helps users find and compare products.
The Christmas season is approaching, and that means we’re all going to be searching for Christmas gifts. OpenAI hopes to help with this through the new Shopping Research tool in ChatGPT. This personal shopping assistant searches and compares products for you based on simple prompts. The model is based on a mini-version of GPT-5 that specializes in product comparison. The tool is available to all logged-in ChatGPT users. The company also promises unlimited access during the holiday season.
Personal Shopping Assistant
With the new Shopping Research tool in ChatGPT, users can describe what they need, such as a quiet vacuum cleaner for a small apartment or a laptop within a specific budget. ChatGPT then asks targeted questions, consults online sources, and compiles the results into a personalized buyer’s guide.


The function appears automatically when ChatGPT detects a shopping query. Users can also manually select the tool through the tool menu. This opens a visual interface where they can input preferences such as budget, target audience, and desired features.
Recommended Products
In the background, ChatGPT gathers current information about price, availability, reviews, specifications, and images. After a few minutes, it provides an overview of recommended products, key differences, and trade-offs, including links to web shops. Direct checkout within ChatGPT is currently not possible.
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ChatGPT uses a mini-version of GPT-5 for the Shopping Research tool. According to the company, this model is optimized for evaluating products and searching for reliable sources.
Admission Process
ChatGPT emphasizes that the tool is not yet perfected and errors may occur, such as outdated prices or availability information. The company currently recommends checking the retailer’s website before making a final purchase.
Merchants can sign up for the tool through an admission process. This way, they can ensure their product data is correctly displayed within the model.
