Wednesday, November 26, 2025

Google Search History Powers...

Introduction to Gemini Update Google has announced an exciting update to its Gemini personal...

The Power of Blogging:...

In today's digital age, having a personal brand is crucial for anyone looking...

The 5-Minute Rule: How...

Writing a blog post can seem like a daunting task, especially when you're...

Get a Second Bite:...

Retargeting is a powerful online marketing strategy that helps you reach out to...
HomeDigital MarketingChatGPT Adds Shopping...

ChatGPT Adds Shopping Research For Product Discovery

Introduction to Shopping Research in ChatGPT

OpenAI has launched a new feature in ChatGPT called shopping research, which creates personalized buyer’s guides by researching products across the web. This feature is available on mobile and web for logged-in users on Free, Go, Plus, and Pro plans, with nearly unlimited usage through the holidays.

How Shopping Research Works

Shopping research works differently from standard ChatGPT responses. Users describe what they need, answer clarifying questions about budget and preferences, and receive a buyer’s guide after a few minutes. The feature pulls information including price, availability, reviews, specs, and images from across the web. Users can guide the research by marking products as "Not interested" or "More like this" as options appear.

Key Features of Shopping Research

The company’s announcement states that "Shopping research is built for that deeper kind of decision-making. It turns product discovery into a conversation: asking smart questions to understand what you care about, pulling accurate, up-to-date details from high-quality sources, and bringing options back to you to refine the results." The tool performs best in categories like electronics, beauty, home and garden, kitchen and appliances, and sports and outdoor.

- Advertisement -

Technical Details of Shopping Research

Shopping research is powered by a shopping-specialized GPT-5 mini variant post-trained on GPT-5-Thinking-mini. OpenAI’s internal evaluation shows shopping research reached 52% product accuracy on multi-constraint queries, compared with 37% for ChatGPT Search. Product accuracy measures how well responses meet user requirements for attributes like price, color, material, and specs. The company designed the system to update and refine results in real time based on user feedback.

Privacy and Data Sharing

OpenAI states that user chats are never shared with retailers. Results are organic and based on publicly available retail sites. Merchants who want to appear in shopping research results can follow an allowlisting process through OpenAI.

Limitations of Shopping Research

OpenAI acknowledges that the feature isn’t perfect. The model may make mistakes about product details like price and availability. The company encourages users to visit merchant sites for the most accurate information.

Why Shopping Research Matters

This feature pulls more of the product comparison journey into one place. As shopping research handles more of the "which one should I buy?" work inside ChatGPT, some of that early-stage discovery could happen without a traditional search click. For retailers and affiliate publishers, that raises the stakes for inclusion in these results. Visibility may depend on how well your products and pages are represented in OpenAI’s shopping system and allowlisting process.

Looking Ahead

Shopping research in ChatGPT is now available to logged-in users starting today. OpenAI plans to add direct purchasing through ChatGPT for merchants participating in Instant Checkout, though no timeline was provided.

Conclusion

In conclusion, shopping research in ChatGPT is a powerful tool that can help users make informed purchasing decisions. With its ability to provide personalized buyer’s guides and pull information from across the web, it has the potential to revolutionize the way we shop online. As the feature continues to evolve and improve, it will be exciting to see how it impacts the retail industry and the way we discover and purchase products.

- Advertisement -

Latest Articles

- Advertisement -

Continue reading

How Founders Are Turning LinkedIn Posts Into Larger Sales Deals

The Power of Your Voice in Marketing Your voice is your most valuable and most underleveraged asset. Let's face it, as a founder, you have a unique perspective and insight into your product and business that can be a powerful...

Your Brand Needs a Searchable Video Strategy

Introduction to Video SEO 2.0 For years, video content lived in a kind of search engine limbo. While you could optimize the title and description, and maybe add some tags, the content inside the video was a black box that...

Google’s Mueller Questions Need For LLM-Only Markdown Pages

Introduction to LLM-Optimized Pages Google Search Advocate John Mueller has expressed his thoughts on creating separate Markdown or JSON pages for large language models (LLMs). He questioned the need for LLMs to have pages that no one else sees. This...

Ahrefs Ambassador On LLM Inclusion & Why Relationships Still Win

Introduction to LLM Inclusion and SEO The industry is divided between those who think optimizing for AI is separate from SEO and those who think LLM discovery is just SEO. However, this argument is unproductive, as LLM inclusion is now...