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Rolondon alternatives & similar sites

Ro London|Fashion Resort Wear, Silk Kaftans, Sarongs, Scarves… — 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
outdazl.co.uk ↗	66 match 1 shared topics	OutDazl \| Designer Boho Holiday & Resort Wear for Women \| UK	United Kingdom en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
chichiclothing.com ↗	66 match 1 shared topics	Chi Chi London \| Fashion Dresses & Women's Clothing \| Chi Chi London UK	en	women-s-clothing Shopify	robotsllmsaihumans	emailphone	none
cvrgeny.com ↗	66 match 1 shared topics	CVRGE — Modest Swimwear & Resort Wear for Women	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
capitalclothingco.com ↗	66 match 1 shared topics	Home \| Capital Clothing \| Fashion	en	women-s-clothing Wix Wix Stores	robots llmsaihumans	emailphone	none
eeyom.com ↗	66 match 1 shared topics	Beach Vacation Dresses for Women – Eeyom Resort Wear	en	women-s-clothing WordPress WooCommerce	robots llmsaihumans	emailphone	none
nksafashion.com ↗	65 match 1 shared topics	NKSA Fashion \| Stylish Kurtis, Suits & Ethnic Wear Online	en	women-s-clothing WordPress WooCommerce	robots llmsaihumans	emailphone	none
mcclothingfactory.com ↗	65 match 1 shared topics	M&C Elegant Wear - Premium Fashion \| Custom Tailoring & Ready-to-Wear - M&C	en	women-s-clothing	robotsllmsaihumans	emailphone	partial · 8
vivasoullondon.com ↗	65 match 1 shared topics	Viva Soul London : Vintage Fashion for EVERY body	en	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
le-ale.com ↗	65 match 1 shared topics	LeAle brand - Luxe Swimwear, Knitwear, Resortwear Collection Clothing	en	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
noircamelia.com ↗	65 match 1 shared topics	Noir Camelia — Luxury Arabian Fashion \| London	United Kingdom~ en	women-s-clothing	robots llmsaihumans	email phone	full · 8
anthonysfladirect.shop ↗	65 match 1 shared topics	Ladies Resort Wear & Women's Clothing \| Anthony's Florida	en	women-s-clothing WooCommerce	robotsllmsaihumans	emailphone	none
anthonysflashop.shop ↗	65 match 1 shared topics	Ladies Resort Wear & Women's Clothing \| Anthony's Florida	en	women-s-clothing WooCommerce	robotsllmsaihumans	emailphone	none
anthonysfla.shop ↗	65 match 1 shared topics	Ladies Resort Wear & Women's Clothing \| Anthony's Florida	en	women-s-clothing WooCommerce	robotsllmsaihumans	emailphone	none
adkn.pro ↗	65 match 1 shared topics	ADKN \| Award-Winning Sustainable Fashion \| Made in London	en	women-s-clothing Shopify	robots llmsaihumans	emailphone	partial · 8
newabundancelondon.co.uk ↗	65 match 1 shared topics	New Abundance London	United Kingdom en	women-s-clothing Squarespace Magento	robotsllmsaihumans	emailphone	none
newabundancelondon.uk ↗	65 match 1 shared topics	New Abundance London	United Kingdom en	women-s-clothing Squarespace Magento	robotsllmsaihumans	emailphone	none
caramelitta.com ↗	65 match 1 shared topics	Caramelitta - Fashion Wear	en	women-s-clothing BigCommerce	robotsllmsaihumans	emailphone	none
lycheeresort.com ↗	65 match 1 shared topics	Lychee Resort – LYCHEE RESORT	en	women-s-clothing Shopify	robots llmsaihumans	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.