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Companies / OpenAI / Introducing shopping research in ChatGPT: How AI is changing the way we shop
AI assistantsCompaniesNewsOpenAI

Introducing shopping research in ChatGPT: How AI is changing the way we shop

ChatGPT's shopping research turns product discovery into a personalized, conversational experience.

Alex Carter
ByAlex Carter
AI News & Big Tech Correspondent
Alex Carter writes for Aiholics, keeping readers updated on the fast-paced world of AI and Big Tech. He breaks down important news and developments from the...
- AI News & Big Tech Correspondent
Published: November 24, 2025
6 Min Read
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Have you ever found yourself endlessly scrolling through countless shopping sites, trying to compare products and sift out what really suits your needs? I recently came across a fascinating new feature that might just change how we shop online forever. ChatGPT is rolling out a shopping research experience designed to do the heavy lifting for you. Instead of juggling multiple tabs and reviews, you can simply describe what you want and get a personalized, in-depth buyer’s guide in minutes.

From chaotic browsing to thoughtful recommendations

Shopping research isn’t about just quick answers. According to insights I encountered, it’s built to handle the complex side of shopping decisions- the kind where you want to compare features, understand trade-offs, and factor in specific constraints like budget or lifestyle. For example, you might ask ChatGPT to help find the quietest cordless stick vacuum for a small apartment or choose between a set of bikes. The AI asks clarifying questions, takes your preferences into account, and scours the internet for the latest specs, prices, reviews, and availability.

Video: OpenAI

This approach is a game changer especially for detail-heavy categories like electronics, home appliances, beauty products, and outdoor gear. If you just need a simple fact like a price or a feature check, normal ChatGPT responses can handle that quickly. But when it comes to deep dives – like comparing multiple products with nuances – shopping research kicks in to deliver a much richer and tailored answer.

How it works: a guided shopping assistant in your chat

The feature starts by opening a visual chat interface where you tell it what you want. It might ask about your budget, who the gift is for, or which features matter most to you. If you have ChatGPT memory turned on, it even remembers your preferences from past conversations, making the suggestions more personalized, like factoring in a gaming interest when helping you pick a laptop.

Shopping Research chatgpt openai question
Image: OpenAI

Behind the scenes, it’s powered by a specialized GPT-5 mini model trained specifically for shopping tasks. This model reads trusted retail sites, cites reliable sources, and synthesizes info to provide accurate, up-to-date recommendations. What’s cool is that you can guide the research in real time by marking options as “Not interested” or “More like this,” so the AI continuously refines what it finds and delivers a highly customized set of options.

Product Accuracy shopping research chatgpt models
Shopping Research is a mini model based on GPT-5-Thinking-mini. It is evaluated with hard shopping questions that include many rules. Accuracy is determined by how many recommended products fit the user’s needs, like price, color, and features. Image: OpenAI

At the end of a few minutes, you get a clear, concise buyer’s guide with top picks, key differences, trade-offs, and direct links to retailers if you want to purchase. Soon, some merchants will even support buying directly through ChatGPT’s Instant Checkout.

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Transparency, trust, and some caveats

This shopping research is designed with transparency in mind. The AI never shares your chat with retailers; it draws only from publicly available data on trusted sites, avoiding spammy or low-quality sources. Still, the model isn’t flawless and can occasionally get product details like price or availability wrong. So it’s wise to double-check on merchant sites before buying.

Shopping research transforms product discovery into a conversation tailored to your unique preferences.

It’s exciting to see AI evolve into a more interactive, intuitive shopping companion rather than just a static search tool. As the feature grows, expect it to cover even more categories and get sharper at understanding what really matters to you.

Key takeaways

  • Shopping research in ChatGPT offers personalized, in-depth buyer’s guides by asking clarifying questions and pulling from high-quality, trusted online sources.
  • It excels at nuanced product comparisons and caters well to complex shopping needs like budget, features, and lifestyle preferences.
  • The experience is interactive – you can guide and refine the results as it researches, receiving a tailored summary with trade-offs and buying options.
  • Privacy is respected since chats are private and results are based on organic, publicly available data.
  • The model is not perfect; always double-check product details before purchasing.

If you’re tired of wrestling with overwhelming shopping data or comparing dozens of websites manually, this new AI-powered feature might just become your new favorite shopping helper. It’s like having a savvy personal shopper who does the legwork and helps you make confident buying decisions, all within your chat window.

I’m looking forward to seeing how this reshapes the online shopping experience, making it more personalized, efficient, and maybe even a little fun!

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ByAlex Carter
AI News & Big Tech Correspondent
Alex Carter writes for Aiholics, keeping readers updated on the fast-paced world of AI and Big Tech. He breaks down important news and developments from the industry's top players, including OpenAI, Google, Meta, Microsoft, and NVIDIA. His goal is to present these updates in a straightforward way that’s easy to understand and genuinely helpful. What makes Alex different is that he's focused on technology that matters to real people's lives, not just for flashy headlines. He demonstrates why each news is important, answering the most important questions for readers: "Why should I care?" From major AI models to big acquisitions and new tools, Alex examines what it means for businesses, society, and end-users. When not reporting, Alex enjoys covering the trends in AI competition, tech ethics, and what's next in digital.
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