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Willkommen am Institut für Interkulturelle Kommunikation e.V. in Jena, Erfurt und Ansbach | Institut für Interkulturelle Kommunikation e.V. — 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
akademiefuerkommunikation.com ↗	64 match 1 shared topics	Akademie für Kommunikation – Individuelle Sprachförderung	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
mingru-jipen.com ↗	63 match 1 shared topics	Mingru Jipen e.V - Latsho dywes ando Berlin! Willkommen! - Mingru Jipen e.V. - Sprach- u. Kulturmittler	de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
crystal-fleck.com ↗	63 match 1 shared topics	KulturKompass – Deine Plattform für globale Kulturvielfalt	de	language-learning	robotsllmsaihumans	emailphone	none
advanx.ai ↗	63 match 1 shared topics	ADVANX AI – Business Englisch & KI-Kommunikationstraining	de	language-learning Weebly	robotsllmsaihumans	email phone	none
dach-ge.org ↗	62 match 1 shared topics	Association DACH Sprache und Kultur Genf – Für Kinder im Raum Genf & Ihren Bezug zur Deutschen Sprache	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
a-ct.net ↗	62 match 1 shared topics	HomePage-DE - ¡ACT! Avance Communication & Translation	de	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
meine-lernwerkstatt.com ↗	62 match 1 shared topics	Willkommen bei uns - mayalatour76s Webseite!	de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
meine-lernwerkstatt.org ↗	62 match 1 shared topics	Willkommen bei uns - mayalatour76s Webseite!	de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
meinelernwerkstatt.com ↗	62 match 1 shared topics	Willkommen bei uns - mayalatour76s Webseite!	de	language-learning Jimdo	robotsllmsaihumans	emailphone	none
ahaus.digital ↗	62 match 1 shared topics	ahaus.digital - Willkommen! \| ahaus.digital	de	language-learning	robotsllmsaihumans	emailphone	none
welcome-weimar.com ↗	62 match 1 shared topics	Willkommen! - Netzwerk Welcome Weimar	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
wh-ardi.com ↗	62 match 1 shared topics	das Wissen – Interaktive Deutschlern-Plattform für Alle	de	language-learning Weebly	robotsllmsaihumans	emailphone	none
aileensclassroom.com ↗	62 match 1 shared topics	Individuelle ENGLISH SESSIONS für Erwachsene mit Spass, Leichtigkeit und ein bisschen Magie. - AILEENS CLASSROOM	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
vassalli-sprachen.ch ↗	62 match 1 shared topics	Vassalli Sprachen – Sprachunterricht für Englisch und Italienisch	Switzerland de	language-learning WordPress	robotsllmsaihumans	email phone	none
mobiles-sprachinstitut.de ↗	62 match 1 shared topics	Mobiles Sprachinstitut – Michael Sauerbier	Germany de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
modolingo.de ↗	62 match 1 shared topics	MODOLINGO International Language Center	Germany de	language-learning Squarespace Magento	robotsllmsaihumans	emailphone	none
palmatranslation.com ↗	62 match 1 shared topics	Palma-Translation – Übersetzer und Dolmetscher in Italienisch, Deutsch, Englisch	de	language-learning WordPress	robotsllmsaihumans	emailphone	none
mmibs.de ↗	61 match 1 shared topics	Maleo MMIBS – Maleo Mekic International Business Services	Germany 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.