OpenAI Turns ChatGPT Into Holiday Shopping Assistant

OpenAI Turns ChatGPT Into Holiday Shopping Assistant Ahead of Black Friday

Person in a living room during the holidays shopping online for smart home security cameras on a laptop and phone

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Written By
Llanor Alleyne
Llanor Alleyne
Nov 25, 2025
3 minute read
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To capitalize on the post-Thanksgiving spending spree, OpenAI has introduced shopping research into ChatGPT. 

Already available on ChatGPT for mobile and web, the new feature assists consumers during the upcoming Black Friday and Cyber Monday window by prompting clarifying questions about budget, preferred features, intended use, and who the product is for, helping them explore purchase decisions more deeply. It can also pull from previous chats when memory is turned on to offer even more personalized results. 

ChatGPT then surveys high-quality, publicly available sources across the web to build a personalized buyer’s guide. It will focus on popular categories such as electronics, home and garden, kitchen appliances, beauty, outdoors, and sports. 

Users on ChatGPT’s Free, Go, Plus, and Pro plans now have access to the new feature, which is powered by a version of GPT-5 mini trained specifically for shopping tasks. 

“We trained it to read trusted sites, cite reliable sources, and synthesize information across many sources to produce high-quality product research,” OpenAI wrote on its site. “We also designed it to be an interactive experience that could update and refine its research in real time — incorporating new constraints and adjusting to feedback on user product preferences — resulting in a response that feels both well-researched and personalized.”

An easier shopping experience

OpenAI has been transparent about its goal of moving ChatGPT beyond simple conversational agents into a fully fledged shopping interface.

The new feature positions the platform as a tool that can narrow choices, compare products across multiple sources, and guide shoppers toward a purchase path that starts and ends inside the app. Shopping as an everyday task is the perfect testing ground for OpenAI to extend ChatGPT into a more transactional role during the busiest sales period of the year. 

As the retail rush peaks on Black Friday and Cyber Monday, OpenAI is leaning into its recent pivot into e-commerce. The platform introduced Instant Checkout a few months ago, which allows users to complete purchases directly from product recommendations. 

That move was quickly followed by a partnership with Walmart that lets users browse, chat, and buy groceries through ChatGPT using Instant Checkout. 

Taken together, OpenAI is carving a path toward deeper commercial integration at a pivotal moment when users are most likely to test new tools that simplify decision-making and ease the anxiety of in-person shopping and its accompanying crowds and inventory shortages.

Raising the AI shopping stakes

ChatGPT can make mistakes. OpenAI admits that, although the shopping feature performs better than other models in internal accuracy evaluations, it can still be imperfect in product details like price and availability. It encourages users to visit retailers’ sites directly for the most accurate information. 

Still, the holiday shopping window puts OpenAI in a high-pressure environment to test how its users will respond when a model takes on the early stages of product research rather than a traditional search engine or retailer site. 

Retailers will also be watching closely. The more consumers use AI systems to filter, sort, and evaluate products, the more critical structured data, feed quality, and clear product information become. Brands that want to show up in these recommendations will need to align their data pipelines with the expectation that generative AI search will mediate discovery. 

Perplexity’s PayPal-backed AI shopping assistant lets people search, compare, and check out directly inside its answer engine ahead of Black Friday.

Llanor Alleyne

Llanor Alleyne has over 15 years of experience in editorial leadership and content strategy, having held roles as Managing Editor, Content Director, and Editor across leading B2B and technology publications. She has directed global content teams at TechnologyAdvice and VentureBeat, overseeing enterprise IT, SaaS, and cybersecurity coverage, as well as leading content development for AV/IT and smart home technology at Residential Systems magazine, Digital Signage magazine, and HiddenWires. Llanor is experienced in building proprietary content frameworks, guiding SEO-driven strategies, and managing cross-functional collaboration with marketing, sales, and design teams. She holds a B.A. in Creative Writing from City College of New York and has also published widely as a writer and artist.

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