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Centro Italiano di Cultura Sachsen Anhalt e.V. – cima 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
italiano-con-sarah.ch ↗	63 match 1 shared topics	Italienisch lernen in Zürich & Online - Italiano con Sarah	Switzerland de	language-learning	robotsllmsaihumans	emailphone	none
connectingcultures.at ↗	63 match 1 shared topics	Connecting Cultures – Freundschaft verbindet	Austria de	language-learning WordPress	robotsllmsaihumans	emailphone	none
aaa-uebersetzungen.com ↗	63 match 1 shared topics	AAA-Uebersetzungen - Deutsch / English / Italiano -->> Français, Winterthur Schweiz	de	language-learning	robotsllmsaihumans	emailphone	none
linguabridge-academy.ch ↗	63 match 1 shared topics	LinguaBridge Academy – Connecting Languages. Bridging Cultures.	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
learnitalianitaly.co.uk ↗	63 match 1 shared topics	learn italian Italy \| italian courses	United Kingdom de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
chinazentrum.at ↗	63 match 1 shared topics	Chinazentrum.at – Chinazentrum für Sprache und Kultur	Austria de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
icbasm.com ↗	63 match 1 shared topics	Página inicial - Instituto Cultural	de	language-learning	robotsllmsaihumans	emailphone	none
crystal-fleck.com ↗	62 match 1 shared topics	KulturKompass – Deine Plattform für globale Kulturvielfalt	de	language-learning	robotsllmsaihumans	emailphone	none
academics-and-culture.com ↗	62 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
academics-and-culture.net ↗	62 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
academics-and-culture.org ↗	62 match 1 shared topics	Startseite - ACADEMICS and CULTURE	de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
alplingua.at ↗	62 match 1 shared topics	Alplingua Deutsch – Italienisch Übersetzungen – Dr. Luca Pepiciello	Austria de	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
cebs.at ↗	62 match 1 shared topics	CEBS – Center für berufsbezogene Sprachen	Austria de	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
italienisch-mitenand.ch ↗	62 match 1 shared topics	Willkommen \| Italienisch Mitenand	Switzerland de	language-learning	robotsllmsaihumans	emailphone	full · 18
mingru-jipen.com ↗	62 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
evviva-lingua.ch ↗	62 match 1 shared topics	Evviva! Italienisch lernen in Zürich	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
evvivalingua.ch ↗	62 match 1 shared topics	Evviva! Italienisch lernen in Zürich	Switzerland de	language-learning WordPress	robotsllmsaihumans	emailphone	none
arbeiten-im-ausland.ch ↗	61 match 1 shared topics	Sprachaufenthalt Auslandsjahr - Sprachreisen Boa Lingua	Switzerland de	language-learning	robotsllmsaihumans	email phone	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.