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startHAUS gGmbH Offenbach - Integrationskurse, Deutschkurse, Sprachprüfung, Kinderbetreuung, Fachqualifikation — 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
lerne-deutsch.online ↗	67 match 1 shared topics	Lerne Deutsch online - Sprache.Kommunikation.Integration.	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-global.com ↗	66 match 1 shared topics	Deutschkurs & Prüfung Graz - Deutschkurse in Graz (A1 / A2 / B1 / B2 / C1)	de	language-learning WordPress	robots llmsaihumans	emailphone	none
weltverstehen.com ↗	66 match 1 shared topics	Sprachzentrum Plapperlapapp - Nachhilfe und Sprachkurse für Kinder und Erwachsene in Leipzig	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-kurs-hannover.com ↗	66 match 1 shared topics	DKH Institut, Deutschkurse in Hannover, Deutschkurse Online - DKH	de	language-learning	robotsllmsaihumans	emailphone	none
dkh-institut.com ↗	66 match 1 shared topics	DKH Institut, Deutschkurse in Hannover, Deutschkurse Online - DKH	de	language-learning	robotsllmsaihumans	emailphone	none
deutschkurse-in-stuttgart.com ↗	66 match 1 shared topics	Intensive Deutschkurse in Stuttgart: Geschäftsdeutsch und Deutsch als Fremdsprache	de	language-learning	robotsllmsaihumans	emailphone	none
deutsch-im-trend.com ↗	66 match 1 shared topics	Deutschkurse Graz (A1 \| A2 \| B1 \| B2-C1) \| ÖSD & ÖIF-Prüfung	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deutschkurse-frankfurt.com ↗	66 match 1 shared topics	Deutschkurse \| ZDSK \| Tandem Frankfurt	de	language-learning Wix	robotsllmsaihumans	emailphone	none
deutschkurs.app ↗	65 match 1 shared topics	Deutschkurs für Anfänger	de	language-learning	robotsllmsaihumans	emailphone	none
deutsche-sprache.com ↗	65 match 1 shared topics	Deutsche Sprache	de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deutsch-lernen-ebooks.com ↗	65 match 1 shared topics	B1 Prüfung & Deutsch lernen – Präsentationen, Briefe, A1 A2 B1 eBooks	de	language-learning	robotsllmsaihumans	emailphone	none
german-courses-munich.com ↗	65 match 1 shared topics	German Courses in Munich Deutschkurse in München	de	language-learning	robotsllmsaihumans	emailphone	none
adlerzentrum.com ↗	65 match 1 shared topics	Adler Zentrum: Ihre Brücke zwischen den Kulturen \| Deutschkurse & Übersetzung Berlin	de	language-learning	robotsllmsaihumans	email phone	none
deutsch-so-gehts.com ↗	65 match 1 shared topics	Deutsch so geht's – Deutsch als Fremdsprache für Alltag und Beruf	de	language-learning WordPress	robotsllmsaihumans	emailphone	full · 12
a-ct.net ↗	65 match 1 shared topics	HomePage-DE - ¡ACT! Avance Communication & Translation	de	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
dd-sprachentraining.com ↗	65 match 1 shared topics	Sprachkurse in Siegen: Jetzt einfach neue Sprachen lernen	Germany~ de	language-learning WordPress	robotsllmsaihumans	emailphone	none
lern.team ↗	65 match 1 shared topics	Deutschkurse für Beruf & Alltag \| Lern.team	de	language-learning WordPress	robotsllmsaihumans	email phone	none
deutschkurse-zettler.com ↗	64 match 1 shared topics	home - Deutschkurse Almut Zettler	de	language-learning	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.