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2taal | Nederlands-Duits — 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 Language Learning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
sprachschule-hochsauerland.com ↗	62 match 1 shared topics	Sprachschule Hochsauerland ( - Startseite	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
sprachreisen-irland.com ↗	61 match 1 shared topics	🙋‍Galway Cultural Institute - Englisch Sprachschule Irland	de	language-learning	robotsllmsaihumans	emailphone	none
learn-personal.com ↗	61 match 1 shared topics	Landing Page - Learn Person	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
marebalticum.net ↗	61 match 1 shared topics	Deutsche Grammatik Verlag Mare Balticum	de	language-learning	robotsllmsaihumans	emailphone	none
kelleher.de ↗	61 match 1 shared topics	Intro \| Learn English. Learn Ireland.	Germany de	language-learning	robotsllmsaihumans	emailphone	none
kilingi.de ↗	61 match 1 shared topics	Kilingi - kinderleicht Englisch lernen	Germany de	language-learning	robots llmsaihumans	emailphone	none
sprachenkarussell.com ↗	61 match 1 shared topics	inlingua Deutschland: inlingua Deutschland	de	language-learning TYPO3	robotsllmsaihumans	email phone	none
sprachschule.org ↗	61 match 1 shared topics	Sprachschulen in Deutschland – finden & vergleichen	de	language-learning	robots llmsaihumans	emailphone	none
degeal.net ↗	61 match 1 shared topics	Home \| Degeal - Sprachferien in Deutschland \| degeal.com	de	language-learning TYPO3	robotsllmsaihumans	emailphone	none
sprachschule-aktiv.com ↗	61 match 1 shared topics	Deutsch lernen in Deutschland, Österreich & in der Schweiz	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
sprachkurse-england.com ↗	61 match 1 shared topics	ᐅ Sprachkurse England - Sprachschule: Devon School of English	de	language-learning	robotsllmsaihumans	emailphone	none
keid.de ↗	61 match 1 shared topics	독일한국교육원 \| Koreanisches Erziehungsinstitut in Deutschland	Germany de	language-learning	robotsllmsaihumans	emailphone	none
almadinaschool.com ↗	61 match 1 shared topics	Arabisch lernen in Düsseldorf \| Al Madina School \| almadinaschool.de	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
becomingfluentingermanpdf.site ↗	60 match 1 shared topics	Becoming fluent in German PDF - 150 Short Stories von Philipp Eich herunterladen	de	language-learning	robotsllmsaihumans	emailphone	none
spanisch-uebersetzungen.com ↗	60 match 1 shared topics	Ilka Wieland – Übersetzerin und Dolmetscherin für Spanisch – Ilka Wieland Staatlich geprüfte Dolmetscherin und Übersetzerin für Spanisch (BDÜ / VGDÜ) Romanistin M.A. Vereidigt und ermächtigt vom Landgericht Frankfurt/Main zugelassen vom spanischen Außenministerium Madrid	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
andishe.online ↗	60 match 1 shared topics	Andishe.Online-Home	de	language-learning	robots llmsaihumans	emailphone	none
andishe2.online ↗	60 match 1 shared topics	Andishe Online Germany- Home	de	language-learning	robots llmsaihumans	emailphone	none
babyzeichensprache.info ↗	60 match 1 shared topics	Anmelden ‹ Campus Zwergensprache – WordPress	United States~ de	language-learning WordPress	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.