---
type: "Evidence Item"
title: "Introducing shopping research in ChatGPT"
description: "Shopping research in ChatGPT helps you explore, compare, and discover products with personalized buyer’s guides that simplify decision-making."
resource: "https://openai.com/index/chatgpt-shopping-research"
tags: ["appendix-iii", "benchmark", "openai"]
timestamp: "2025-11-24"
category: "benchmark"
publisher: "OpenAI"
cope_score: 76
confidence: 0.9
---

# Introducing shopping research in ChatGPT

# Claim

Shopping research in ChatGPT helps you explore, compare, and discover products with personalized buyer’s guides that simplify decision-making.

# Relevance

Appendix III, section one: model and benchmark capability evidence

# Oracle Verdict

This belongs in the register because benchmark and model-release claims set the ceiling for the next wave of deployment stories. The labour-market effect is indirect today, but it becomes direct when these gains are packaged into agents, APIs, and enterprise tools.

# Metadata

* Publisher: OpenAI
* Category: benchmark
* Sector: Commerce and marketplace
* Capability: Model and benchmark capability movement
* Cope score: 76
* Confidence: 0.9

# Related Concepts

* [Live evidence index](index.md)
* [Thesis](../thesis.md)

# Citations

[1] [Introducing shopping research in ChatGPT](https://openai.com/index/chatgpt-shopping-research)
