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Jubylee I Marque de Prêt-à-Porter pour Femme — 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 Fashion →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
2smode.com ↗	73 match 2 shared topics	Prêt-à-porter - Vêtements pour femmes – 2S MODE	fr	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
elisabethdelaunay.fr ↗	72 match 2 shared topics	Elisabeth Delaunay : Prêt à porter pour femme.	France fr	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
odassdressing.com ↗	71 match 2 shared topics	SOÉLA – Prêt-à-porter féminin chic & urbain	fr	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
femmebranchee.fr ↗	70 match 2 shared topics	Boutique de prêt à porter & accessoires – FEMMEBRANCHEE	France fr	women-s-fashion Shopify	robots llmsaihumans	emailphone	none
sessitrading.com ↗	69 match 2 shared topics	Sessitrading - Prêt-à-porter & Mode Premium	fr	women-s-clothing	robotsllmsaihumans	email phone	none
flostelia.fr ↗	69 match 2 shared topics	Flostelia – Mode Femme du 34 au 52 \| Prêt-à-Porter Fécamp	France fr	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
emdoria.fr ↗	69 match 2 shared topics	Prêt à porter créateur français pour femmes – EMDORIA PARIS	France fr	women-s-fashion Shopify	robots llmsaihumans	emailphone	none
fashionavenue.fr ↗	69 match 2 shared topics	Tendence de pret a porter pour femme \| robes et jupe sexy \| FASHIONAVENUE.FR	France fr	women-s-fashion Wix Wix Stores	robots llmsaihumans	emailphone	none
cylia.fr ↗	68 match 2 shared topics	CYLIA - Vêtements Femme à Béziers \| Prêt-à-Porter – Cylia Béziers	France fr	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
emmabypaul.fr ↗	68 match 2 shared topics	Emma By Paul - Prêt-à-porter féminin - Bourg-en-Bresse	France fr	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	email phone	none
dodiedods.fr ↗	68 match 2 shared topics	Dodie Dod's \| Boutique de prêt à porter femme à Aime la Plagne	France fr	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fan-defringues.fr ↗	68 match 2 shared topics	Fan de fringues : prêt-à-porter féminin, mode femme, vêtements grande taille, accessoires	France fr	women-s-clothing	robotsllmsaihumans	emailphone	none
ateliermerefille.com ↗	68 match 2 shared topics	Atelier Mère & Fille \| Rouen 🌸 \| Boutique prêt-à-porter féminin	fr	women-s-clothing WordPress	robotsllmsaihumans	emailphone	none
cottage-cysoing.fr ↗	67 match 2 shared topics	Cottage Cysoing- Boutique en ligne de prêt à porter	France fr	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
acte2strasbourg.com ↗	67 match 2 shared topics	acte 2 - Vêtements de grandes marques pour femmes à Strasbourg – Acte 2	fr	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
milaaumarais.com ↗	67 match 2 shared topics	Boutique de vêtements pour femme à Cassis - Mila au Marais	France~ fr	women-s-clothing	robotsllmsaihumans	email phone	none
dahliashop.fr ↗	67 match 2 shared topics	DAHLIA SHOP - BOUTIQUE DE PRÊT A PORTER FÉMININ	France fr	women-s-clothing Shopify	robots llmsaihumans	emailphone	none
fabiennestocchetti.fr ↗	67 match 2 shared topics	Fabienne Stocchetti - Confection, Prêt-à-porter féminin	France fr	women-s-fashion	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.