UNITED STATES OF AMERICA —OpenAI has launched a new shopping research capability within ChatGPT, designed to provide structured, research-driven product recommendations through conversational interaction. The feature enables users to describe their requirements and receive a curated buyer’s guide generated from multi-source online research.
Unlike standard quick-response queries, the shopping research experience is intended for complex purchasing decisions involving comparisons, trade-offs, and constraints. The system asks clarifying questions, evaluates up-to-date information from external sources, and incorporates contextual insights from prior user interactions where applicable. It is positioned to support categories that typically require detailed evaluation, including electronics, home appliances, beauty, sports, and outdoor equipment.
The rollout has begun on mobile and web platforms for logged-in users across Free, Go, Plus, and Pro plans. OpenAI indicated that usage limits will be expanded during the holiday shopping period to accommodate increased demand.
The move reflects growing competition in AI-assisted commerce, where conversational interfaces are evolving beyond search toward guided decision intelligence. For retailers, brands, and digital marketplaces, AI-powered buying assistants may influence product discovery pathways and shift how consumers evaluate options, potentially reshaping online conversion funnels and comparison-driven purchasing behavior.
