Answers · Fashion
Does AI recommend clothing shops?
Of the 6 clothing shops we measured, 1 was named at all. The other 5 appear in none of the answers.
What we found
clothing shops appear in none of the buying questions we ran in their own category.
The median appearance rate in this category is 0%, and the best shop reaches 83%. Most of the category is invisible, which is what makes the few that appear worth studying.
This is one category inside a larger measurement: across 64 shops in 8 categories, 48 appear in no answer at all. See every category.
What the assistant reads instead
An assistant that names no shop is not answering from nowhere. These are the pages it actually cited while answering clothing questions, and how often each one came up.
| Source | Times cited | How a shop gets in |
|---|---|---|
| clothesshops101.co.uk | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
| timeout.com | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
| ldnfashion.com | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
| lovemyfashions.com | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
| whowhatwear.com | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
| yougov.com | 2 | A competitor published it They wrote the guide the assistant reads. So can you. |
Method
For each shop we generate buying questions from the shop's own categories and market — the kind a shopper types, like "best clothing to buy online in the UK" — and run each question several times through an assistant with live web search. Appearing means the shop was named or linked in the answer. Models are not deterministic, so every figure is a sampled rate over repeated runs, never a yes or no from a single pass.
This measures one model on one set of dates, and each assistant has its own index and its own sources. The shops were selected for scoring high on technical readiness, which makes the result more striking rather than less — but it also means this is not a random sample of the web. 6 shops is a small sample, and we publish it as a count for exactly that reason.
How to cite: Goppa Research (2026). Does AI recommend clothing shops? We measured 6. https://trygoppa.com/answers/does-ai-recommend-fashion-shops — CC BY 4.0.
No shop is named. We publish the counts, the categories and the method; the identity of individual shops stays out of it.