# ChatGPT Shopping Categories in Germany 2026

> 54% of German ChatGPT users who received AI shopping product cards got electronics recommendations — ahead of home & garden (41%) and health & beauty (30%)

**Period:** Jan–Nov 2026  
**Market:** DE  
**Data status:** final  
**Data as of:** 2026-11-09T06:31:48.826927+00:00  
**Sample size:** n = 429  
**Effective sample size:** 167  
**Source:** [https://www.generalevidence.com/en/insights/digital/search-queries/chatgpt-shopping-categories-germany-2026](https://www.generalevidence.com/en/insights/digital/search-queries/chatgpt-shopping-categories-germany-2026)

## Segments

- **Years:** 2026
- **Platform:** chatgpt

## Summary

Electronics dominates ChatGPT's AI shopping product cards for German users in 2026, reaching **54%** of shoppers — a category lead that likely reflects both the high complexity of consumer electronics decisions and the depth of product data available to the model. Home & garden follows at **41%**, health & beauty at **30%**, and apparel & accessories at **28%**, while food & beverages trails at just **12%**.

## Why electronics leads AI product search

ChatGPT's shopping feature launched in Germany in April 2025 and was significantly expanded through 2026, with OpenAI pivoting in March 2026 from an in-chat checkout model toward a richer product discovery experience. Electronics is a natural fit: comparisons across specs, price tiers, and brands are exactly the kind of multi-criteria research where conversational AI adds the most value over a traditional keyword search. The category's dominance in ChatGPT product cards mirrors its structural weight in German e-commerce — Germany's online retail sector generated over €83 billion in 2025, with consumer electronics consistently among the top-spending categories. Health & beauty and apparel, the third and fourth categories here, are equally prominent in German online retail and represent high-frequency, high-consideration purchase decisions. Food & beverages, by contrast, remains largely a low-consideration, habitual purchase — which may explain why it converts to AI-assisted product cards far less often. For a view of which retailers are shown most on those product cards, see [Amazon's lead merchant share in ChatGPT](slug:chatgpt-amazon-merchant-share-germany-2026).

## Chart

Horizontal bar chart showing the share of German ChatGPT users who received at least one shopping product card in each category, January to November 2026. Twelve categories are shown, ranked from highest to lowest: Electronics 54%, Home & garden 41%, Health & beauty 30%, Apparel & accessories 28%, Food & beverages 12%, Hardware & DIY 12%, Vehicles & parts 11%, Furniture 11%, Pet supplies 8%, Sporting goods 8%, Media (books, film, music) 7%, Baby & toddler 4%.

## Methodology

The analysis covers German ChatGPT users who imported their conversation history and had at least one shopping product card in their conversations between January 1 and November 6, 2026. A conversation was classified as a shopping conversation if it contained at least one ChatGPT product card. Each card was assigned to a category based on keyword matching against product and conversation titles, using a Shopify-style vertical taxonomy in both German and English. Where a conversation contained cards from multiple categories, it was assigned to the majority category. Conversations where no majority category could be established (14% of shopping conversations) were excluded from the category breakdown. Shares represent the proportion of shoppers who received at least one card in each category; a shopper can appear in more than one bar. Figures are weighted to reflect the broader population of German ChatGPT users active in 2026.

## Citation

General Evidence (2026-11-09). *ChatGPT Shopping Categories in Germany 2026*. General Evidence Insights. https://www.generalevidence.com/en/insights/digital/search-queries/chatgpt-shopping-categories-germany-2026

## About General Evidence

General Evidence is a behavioral consumer-data platform. The Insights library publishes free, citable statistics derived from a panel of 32,000+ opted-in participants in Germany: observed real behavior (transactions, browsing, media), not surveys. All data is processed within the EU and is GDPR-compliant.

For brand-specific cuts, competitor benchmarks, and granular audience filters across 12,000+ tracked brands, see [https://www.generalevidence.com/en](https://www.generalevidence.com/en).