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Einkaufen in der Region Suhl-Oberhof in Thüringen — 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 Malls And Shopping Centers →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dahoam-in-friedberg.de ↗	76 match 1 shared topics	Einkaufen in der Region	Germany de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
diewaldstrasse.com ↗	65 match 1 shared topics	Südliche Waldstraße Karlsruhe - Einkaufen in Karlsruhe	de	malls-and-shopping-centers WordPress WooCommerce	robotsllmsaihumans	emailphone	none
outletscout.net ↗	65 match 1 shared topics	Outlet-Center in Deutschland & der Welt	de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
shops-muenchen.com ↗	65 match 1 shared topics	Einkaufen - Shopping - Geschäfte - Shops in München bei shops-muenchen.de	de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
brandbach.ch ↗	65 match 1 shared topics	Brandbachcenter - Ihr Einkaufszentrum in Dietlikon	Switzerland de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
brandbachcenter.ch ↗	65 match 1 shared topics	Brandbachcenter - Ihr Einkaufszentrum in Dietlikon	Switzerland de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
das-dick.de ↗	65 match 1 shared topics	DAS DICK Einkaufs- und Erlebniscenter	Germany de	malls-and-shopping-centers	robotsllmsaihumans	email phone	none
das-es.de ↗	64 match 1 shared topics	Entdecke Das ES – Dein Einkaufszentrum im Herzen von Esslingen	Germany de	malls-and-shopping-centers Contao	robotsllmsaihumans	emailphone	none
mallofberlin.co ↗	64 match 1 shared topics	Mall of Berlin - Einkaufen am Leipziger Platz in Berlin Mitte \| Start	Colombia de	malls-and-shopping-centers TYPO3	robotsllmsaihumans	email phone	none
darmstadt-schulstrasse.de ↗	63 match 1 shared topics	SCHULSTRASSE – Grüne Einkaufsmeile in Darmstadt	Germany de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
daseinstein.de ↗	63 match 1 shared topics	Einkaufen mit Flair im Münchner Osten verkehrsgünstig, zentral und wetterunabhängig	Germany de	malls-and-shopping-centers SilverStripe	robotsllmsaihumans	emailphone	none
allmendcenter.com ↗	63 match 1 shared topics	Allmendcenter - Startseite	de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
daswilla.de ↗	63 match 1 shared topics	Willkommen - Dreiländergalerie in Weil am Rhein	Germany de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
altstadt-center-herford.de ↗	63 match 1 shared topics	Home - Altstadt-Center in Herford	Germany de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
altmark-forum.de ↗	62 match 1 shared topics	Startseite - Altmark Forum Stendal	Germany de	malls-and-shopping-centers WordPress	robotsllmsaihumans	emailphone	none
palais-vest-shopping.com ↗	62 match 1 shared topics	Palais Vest Recklinghausen – Shops, Öffnungszeiten & Parken	de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
palais-vest-shopping.net ↗	62 match 1 shared topics	Palais Vest Recklinghausen – Shops, Öffnungszeiten & Parken	de	malls-and-shopping-centers	robotsllmsaihumans	emailphone	none
palais-vest.net ↗	62 match 1 shared topics	Palais Vest Recklinghausen – Shops, Öffnungszeiten & Parken	de	malls-and-shopping-centers	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.