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Home - DECOLUCC DECOLUCC — 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
kopyto.co ↗	61 match 1 shared topics	KOPYTO - 100% etycznej wełny merino - jedyna polska marka z certyfikatem RWS	Colombia pl	women-s-clothing	robotsllmsaihumans	emailphone	partial · 8
gojuju.co ↗	61 match 1 shared topics	goJUJU.co \| Ubrania porządnie wykonane	Colombia pl	women-s-clothing	robotsllmsaihumans	emailphone	none
evelissima.com ↗	61 match 1 shared topics	Damski butik online	pl	women-s-clothing	robots llmsaihumans	emailphone	partial · 9
koszulove.com ↗	61 match 1 shared topics	Ubrania z nadrukiem: koszulki, bluzy, zestawy \| Koszulove	pl	women-s-clothing	robots llmsaihumans	email phone	partial · 9
philippplein-pl.com ↗	61 match 1 shared topics	Odkryj najnowszą kolekcję z krótkim rękawem w sklepie Philipp Plein	pl	women-s-clothing Weebly WooCommerce	robotsllmsaihumans	emailphone	partial · 2
pomyslowyprojekt.com ↗	61 match 1 shared topics	Modne I Tanie Ubrania Damskie - Outlet Online - Pomysłowy Projekt	pl	women-s-clothing WordPress	robotsllmsaihumans	emailphone	none
renex.co ↗	60 match 1 shared topics	Hurtownia Tkanin \| Sklep z materiałami \| Warszawa, Janki	Colombia pl	women-s-clothing WordPress WooCommerce	robots llmsaihumans	email phone	none
koszulkolandia.com ↗	60 match 1 shared topics	KOSZULKOLANDIA.com to nie tylko śmieszne koszulki z nadrukiem lub na zamówienie ale także bluzy - kubki - body dziecięce z napisami, własnym zdjęciem - odzież firmowa z własnym logo	pl	women-s-clothing	robotsllmsaihumans	emailphone	none
dresy24.com ↗	60 match 1 shared topics	Dresy damskie welurowe – bluzy i spodnie dresowe \| Dresy24	pl	women-s-clothing	robotsllmsaihumans	emailphone	none
concrete-everett.com ↗	60 match 1 shared topics	Swetry damskie wyprzedaż – sweterki - kardigany	pl	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meandtheclothes.com ↗	60 match 1 shared topics	me.and.the.clothes	pl	women-s-clothing	robotsllmsaihumans	emailphone	none
missu-design.com ↗	60 match 1 shared topics	Missu Design – najmodniejsza odzież damska na wszystkie okazje – Najmodniejsza odzież damska na wszystkie okazje – bluzki, marynarki, spodnie, sukienki, koszule.	pl	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
leginsy.org ↗	60 match 1 shared topics	Bluzki xxxl - Odzież damska duże rozmiary	pl	women-s-clothing WordPress	robotsllmsaihumans	emailphone	none
kovalowe.com ↗	60 match 1 shared topics	Kovalowe – Polska marka odzieżowa dla kobiet	pl	women-s-clothing WordPress WooCommerce	robotsllmsaihumans	emailphone	none
koshule.com ↗	32 match 1 shared topics	Koszule oversize dla kobiet \| KOSHU:LE	pl	women-s-clothing	robotsllmsaihumans	emailphone	none
beautifashion.com ↗	31 match 1 shared topics	Modne sukienki, trendy ubrania na każdą okazję! - BeautiFashion.com	pl	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
estbys.com ↗	31 match 1 shared topics	EST by S	pl	women-s-clothing	robotsllmsaihumans	emailphone	none
vivano-warszawa.com ↗	31 match 1 shared topics	Vivano Warszawa \| Polska Moda na Każdą Okazję \| Oficjalny Sklep Online – vivano-warszawa	pl	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.