OpenAI has added a new funtion to ChatGPT which allows shoppers to describe what they’re looking for and receive a personalised buyers guide to help them decide what to buy. 

Shopping Research-01

Source: OpenAI

The feature rolls out today on mobile for users on ChatGPT Free, Go, Plus, and Pro plans.

The new tool, which the tech giant is calling “shopping research”, aims to help consumers track down the most appropriate online products for their requirements. When users give the chatbot details of type of product they’re searching for, they can now receive a buyer’s guide with top products and their key differences, pros and cons. 

OpenAI said the new tool worked “especially well for detail-heavy purchases”, in categories like electronics, beauty, sport, outdoor and home and If a user wants to make a purchase from the guide, they can click through to the retailer’s site, “with plans for direct purchasing via Instant Checkout coming in the future for supported merchants.” it said. 

The feature rolls out today on mobile for users on ChatGPT Free, Go, Plus, and Pro plans. 

OpenAi said in a statement: “Today, we’re introducing shopping research, a new experience in ChatGPT that does the research for you to help you find the right products. Instead of sifting through dozens of sites, you can just describe what you’re looking for—“Find the quietest cordless stick vacuum for a small apartment,” “Help me choose between these three bikes,” or “I need a gift for my four year old niece who loves art”—and shopping research builds a thoughtful guide to help you decide. It asks smart clarifying questions, researches deeply across the internet, reviews quality sources, and builds on ChatGPT’s understanding of you from past conversations and your ChatGPT memory to deliver a personalized buyer’s guide in minutes.” 

“Hundreds of millions of people use ChatGPT to find, understand, and compare products. They want help making sense of the options and deciding what fits their needs, budget, and preferences. 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.”