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Dressupleeds alternatives & similar sites

Dress Up Leeds | Made to Measure Dresses & Alterations in Leeds – Dress-up Leeds — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Women S Clothing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
suesalteration.com ↗	69 match 1 shared topics	Sue's Alteration \| Master Tailoring	US~ en	women-s-clothing	robotsllmsaihumans	email phone	none
studiomariya.com ↗	67 match 1 shared topics	Studio Mariya \| Handmade Made-to-Measure Women's Clothing \| 12 Years of Etsy Reviews	en	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
trendsetterave.com ↗	66 match 1 shared topics	Women's Trendy Apparel – Dresses & Rompers \| Trendsetter Ave	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
trouserg.com ↗	66 match 1 shared topics	Fashion & Costumes – Dresses, Tops, Wigs & Accessories	en	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
truegodboutiques.com ↗	66 match 1 shared topics	Elegant Dresses \| Fashionable Dresses for Every Occasion – truegodboutiques	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
chromadress.com ↗	66 match 1 shared topics	Women's Dresses in Every Style \| Boho, Bodycon, Maxi & More	en	women-s-clothing Shopify	robotsllmsaihumans	emailphone	partial · 8
trestertailor.com ↗	65 match 1 shared topics	Trester Tailor in Rochester, MN \| Suits, Hems, Dress Alterations	en	women-s-clothing Wix	robots llmsaihumans	emailphone	none
yrapparel.com ↗	65 match 1 shared topics	Yanruo Apparel \| Custom Women's Dresses & Premium Garment Manufacturer	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
minilisa.com ↗	65 match 1 shared topics	Lolita Dresses \| Gothic Lolita \| MiniLisa	en	women-s-clothing	robotsllmsaihumans	emailphone	none
aclosy.com ↗	65 match 1 shared topics	DRESSES-Maxi Dresses, Casual & Cocktail Dresses – Aclosy	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
kypaws.com ↗	65 match 1 shared topics	Kypaws \| Curated Women's Dresses & Feminine Styles	US~ en	women-s-clothing	robotsllmsaihumans	email phone	partial · 8
minimch.com ↗	65 match 1 shared topics	Luxury Women’s Clothing \| Silk Blouses, Cashmere Sweaters & Tailored Dresses – Timeless Styles	en	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
studiooblivion.com ↗	65 match 1 shared topics	Silk Dresses & Lingerie Shop \| Studio Oblivion	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
highway-robery.com ↗	65 match 1 shared topics	Robes \| Made in USA \| Highway Robery	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
doorstepstitch.com ↗	65 match 1 shared topics	Doorstep Stitch \| Online Boutique in Delhi For Ladies & Gents	en	women-s-clothing WordPress	robotsllmsaihumans	emailphone	none
charlottepeart.com ↗	65 match 1 shared topics	Charlotte Peart \| Effortless Maxi Dresses in the UK	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
kynzawear.com ↗	65 match 1 shared topics	Kynzawear \| Women's Dresses – Peplum, Shirt & Slip Styles	US~ en	women-s-clothing	robotsllmsaihumans	email phone	partial · 8
1worldsarongs.com ↗	65 match 1 shared topics	1 World Sarongs - Sarongs, Beach Dresses & Cover Ups	en	women-s-clothing BigCommerce	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.