Comparing ChatGPT’s New Shopping Research Feature to Traditional Online Shopping Assistants

Daily Technology

·

25/11/2025

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OpenAI's latest update to ChatGPT adds a shopping research tool that now rivals the assistants built into big retail sites. Where most stores rely on fixed rules, ChatGPT asks plain questions about budget, taste and style - builds a buyer's guide tailored to the answers.

Technically, the model pulls product details from many public retail pages, reads them and lists the sources. Common store bots draw from smaller, private data sets. The wider sweep gives shoppers a broader, more neutral list plus the system tries to skip low grade or spam pages.

The old tools show static filters and menus - ChatGPT runs a short quiz that refines itself after each reply and handles subtle requests. Like other AI, it can still slip and give false data, a flaw shared by recommendation engines but usually hidden from the user.

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For now, OpenAI returns unpaid, “organic” links but also accepts no commissions, whereas retailer bots often push their own or sponsored stock. This neutrality can raise trust - yet it may shift if OpenAI later tests paid placements.

In short, the new feature raises the bar for digital shopping help - using advanced dialogue to give deeper, clearer guidance.

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