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Who What Wear

ChatGPT plugin

Editor picks, tuned to you

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Rank by placement

#1502of 6,02219places down24h67places down7d
#1,290#1,393#1,496#1,599Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

Rank in Other

#183of 6045places down24h5places down7d
#171#175#179#183Sep 13Sep 19Sep 25Oct 1Oct 7Oct 12

In its category

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Other183rd of 604 by placement
#PluginPosition7d
180All Tide Times#149276places down
181Prada#149431places down
182Private MD Labs#150078places down
183Who What WearThis page#150267places down
184HouseToSpot Immobilien#150968places down
185Emlakjet#151273places down
186Figaro Immobilier#151736places down

All 604 Other plugins

Who What Wear brings the women's fashion publication's editorial voice into ChatGPT. It works like having a stylist who already knows your taste — once you've set up a short style profile, every fashion question gets a personalised, brand-aware answer instead of a generic one.

Setup takes about a minute. A guided four-step widget asks for your style words (Low-Key Luxury, Tailored, French, Sporty, Trend-Forward and others), the brands you actually shop across contemporary, luxury, denim and accessories, the style icons whose looks you'd happily borrow, and the price range you're comfortable with. The profile is saved per user, so it carries across conversations rather than starting over every time you open ChatGPT.

After onboarding, three things become useful.

Shopping for a specific item. Tell the app what you're looking for — "find me a black blazer under £250", "I need a coat for a winter wedding", "what jeans should I buy" — and it returns three to five picks weighted toward the brands you already buy from, plus a complete outfit built around the piece: what to wear on top, on the bottom, on your feet, and one or two accessories. The aim is to leave with a wearable answer, not a list of links.

Editorial inspiration. Ask what you should be wearing or looking at right now, and the app pulls fresh articles from Who What Wear UK's live editorial feed, then picks the two or three that match your taste using the brand and category tags on each article. The picks render as a horizontal carousel of cards in the publication's own visual language: editorial image, kicker, headline, byline credit, and a link straight back to the article on whowhatwear.com.

Refining your profile. Taste shifts. Reopen the onboarding to update any answer (and only the answers you want to change), or reset the profile entirely if you're starting fresh.

A few things worth knowing. The editorial feed is Who What Wear UK, so the content leans British in voice, currency and seasonality. Recommendations are always anchored in real Who What Wear articles or in brand suggestions drawn from the list you provided — the app does not invent URLs, images, or articles to fill out a result, and the carousel only renders when there are real links and images to attach. If the feed has nothing relevant on a given day, you get an honest reply rather than a fabricated one.

What the app is not: it does not cover men's fashion, beauty product search, home decor, or non-fashion shopping. It does not surface live retailer inventory or live prices. If a request falls outside this scope, it says so instead of guessing.

Built by Future PLC, publisher of Who What Wear.

Screenshots

  • Who What Wear screenshot
  • Who What Wear screenshot
  • Who What Wear screenshot

Example prompts

  • “Help me find my look”
  • “Find me a look that suits my budget”
  • “Give me inspo”
Categories
Made by
Future PLC · Website
Sign-in
On Install
Availability
Available
Version
1.0.0
Created
June 23, 2026
More info