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Hochwertige Damenmode exklusiver Mode-Designer | peterhahn.de — 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
modana.de ↗	71 match 1 shared topics	blanc Mode \| Exklusive Damenmode im CCL Langenhagen	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
ageless-era.com ↗	70 match 1 shared topics	Simone Becke \| Exklusive Damenmode aus Kitzbühel	de	women-s-fashion	robotsllmsaihumans	emailphone	none
mode-christel-geiger.de ↗	68 match 1 shared topics	Mode Christel Geiger Staufen - hochwertige Damenmode am Marktplatz in Staufen	Germany de	women-s-fashion	robotsllmsaihumans	email phone	none
modeeck-wolfach.de ↗	68 match 1 shared topics	Damenmode in Wolfach – Modeeck \| Stilvoll & persönlich	Germany de	women-s-fashion WordPress	robotsllmsaihumans	emailphone	none
mode-peters.de ↗	68 match 1 shared topics	MODE PETERS - Damenmode in Dorsten	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
modegen33.de ↗	67 match 1 shared topics	Damenmode Frankenberg - modeGEN33 Uta Berner	Germany de	women-s-fashion Jimdo	robotsllmsaihumans	emailphone	none
mode-nathalie-berg.de ↗	67 match 1 shared topics	NATHALIE BERG - EinzigARTige Damenmode Köln	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
jagador.com ↗	66 match 1 shared topics	Jagador - Stilvolle Damenmode	de	women-s-fashion	robotsllmsaihumans	emailphone	none
mode-scarlett.de ↗	66 match 1 shared topics	Mode Scarlett - Exquisite Damenmode in der Altstadt von Regensburg	Germany de	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	email phone	none
modeundhome.de ↗	66 match 1 shared topics	Laden No. 11 – Mode & Home – stilistische Damenmode und Accessoires	Germany de	women-s-fashion WordPress	robotsllmsaihumans	emailphone	none
modefolles.de ↗	66 match 1 shared topics	Folles Fashion & Concept – Damenmode in Volkach	Germany de	women-s-fashion WordPress WooCommerce	robotsllmsaihumans	emailphone	none
modeoutlet-luebeck.de ↗	65 match 1 shared topics	Modeoutlet \| Designermode \| Damenbekleidung \| Fabrikverkauf \| Lübeck	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
mohrmann-basics.de ↗	65 match 1 shared topics	Internationale Luxus Designer Mode online kaufen \| NICOLE MOHRMANN	Germany de	women-s-fashion Shopify	robotsllmsaihumans	emailphone	none
moa-mode.de ↗	65 match 1 shared topics	moa mode & accessoires – Damenmode in Warstein	Germany de	women-s-fashion Weebly WooCommerce	robotsllmsaihumans	emailphone	none
modapiu.de ↗	65 match 1 shared topics	Designermode in Große Größen - Moda Piu Fashion	Germany de	women-s-fashion WordPress	robotsllmsaihumans	email phone	none
modexshop.de ↗	64 match 1 shared topics	modex Essen-Rüttenscheid \| Damenmode \| Schuhe \| Taschen \| Accessoires \| Boutique \| Onlineshop \| Vintage Teppich Peter Heintz Moden	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
modex-shop.de ↗	64 match 1 shared topics	modex Essen-Rüttenscheid \| Damenmode \| Schuhe \| Taschen \| Accessoires \| Boutique \| Onlineshop \| Vintage Teppich Peter Heintz Moden	Germany de	women-s-fashion	robotsllmsaihumans	emailphone	none
monis-fashion.de ↗	64 match 1 shared topics	monis-fashion.de Italy Mode für Damen die Stilvoll sind	Germany de	women-s-fashion Wix Wix Stores	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.