# AI-Referenced Product Search Behaviour by Age Group in Germany — 2025 to Q1 2026

> 38% of 18–29-year-old German product searchers made at least one AI-referenced Google search — 2.3× more than the 60+ age group

**Period:** 2025 – Q1 2026  
**Market:** DE  
**Data status:** final  
**Data as of:** 2026-07-01T14:02:48.081369+00:00  
**Sample size:** n = 43,031  
**Source:** [https://www.datapods.app/en/insights/digital/search-queries/ai-product-search-by-age-germany-2025-2026](https://www.datapods.app/en/insights/digital/search-queries/ai-product-search-by-age-germany-2025-2026)

## Segments

- **Years:** 2025–2026
- **Platform:** search
- **Age groups:** 16-24, 25-34, 35-44, 45-54, 55+

## Summary

**38%** of German product searchers aged 18–29 generated at least one AI-referencing Google search session over the 15-month observation window, compared with just **17%** of those aged 60 and older — a **2.3× gradient** that signals how unevenly the AI-driven shift in shopping research is distributed across generations.

## Younger buyers are normalising AI-assisted Kaufentscheidungen

This age split is consistent with broader platform demographics: globally, users aged 18–34 account for over 52% of Gemini's audience and ChatGPT disproportionately attracts younger, tech-early-adopter profiles. In Germany, where 81% of consumers advocate for clear labelling of AI-generated content, younger shoppers appear less concerned about AI provenance and more willing to integrate chatbot-style tools into their everyday product research. The HDE Online Monitor 2026 confirms AI is gaining structural relevance in German e-commerce, reporting that 35% of the German population now use AI for product research — a figure anchored heavily by younger cohorts. For marketers, the implication is clear: AI product recommendations are already a primary discovery channel for under-30s, and that behaviour will age upward as digital natives move through life stages.

## Chart

Bar chart showing the share of German product-intent Google searchers who made at least one AI-referencing search session between 2025 and Q1 2026, broken down by age group. The share declines with age: 38% for the 18–29 cohort down to 17% for those aged 60 and older.

## Methodology

For each age group, the metric represents the share of German product-intent searchers — active on Google between January 2025 and March 2026 — who produced at least one search session containing an explicit AI tool reference (ChatGPT, Gemini AI, Perplexity, or Microsoft Copilot) over the full observation period. Age was determined from user birth-year records. The denominator in each cohort is all users in that age group with at least one product-intent search session in the window.

## Citation

Datapods (2026-07-01). *AI-Referenced Product Search Behaviour by Age Group in Germany — 2025 to Q1 2026*. Datapods Insights. https://www.datapods.app/en/insights/digital/search-queries/ai-product-search-by-age-germany-2025-2026

## About Datapods

Datapods is a behavioral consumer-data platform. The Insights library publishes free, citable statistics derived from a panel of 25,000+ 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.datapods.app/en](https://www.datapods.app/en).