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German Studies Canada – Canadian Association of University Teachers of German — 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
laea.dev ↗	66 match 1 shared topics	Language Association of Eastern Africa	en	language-learning	robotsllmsaihumans	emailphone	none
lap.org.pk ↗	65 match 1 shared topics	LAP \| Linguistic Association of Pakistan – Advancing Language Research	en	language-learning	robotsllmsaihumans	emailphone	none
paaljapan.org ↗	65 match 1 shared topics	PAAL Japan \| Pan-Pacific Association of Applied Linguistics	en	language-learning	robotsllmsaihumans	emailphone	none
algudwa.org ↗	65 match 1 shared topics	Algudwa Association	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alexanderschulz.me ↗	65 match 1 shared topics	Alexander Schulz German Teacher	en	language-learning	robotsllmsaihumans	emailphone	none
languageteachersathome.com ↗	65 match 1 shared topics	Language Teachers At Home - Homeschool Language Studies	en	language-learning	robotsllmsaihumans	emailphone	none
ottawaitalianschool.org ↗	64 match 1 shared topics	Italian Canadian Youth Formation Centre	Canada~ en	language-learning Squarespace Squarespace Commerce	robotsllmsaihumans	emailphone	none
languagetuition.net ↗	64 match 1 shared topics	Expert GCSE French and German Tutor – French and German Tutition from an experienced and qualified British teacher.	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
languageforchange.org ↗	64 match 1 shared topics	Language for Change Association	en	language-learning	robotsllmsaihumans	emailphone	none
languageawareness.org ↗	64 match 1 shared topics	Association for Language Awareness	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dhcca.org ↗	64 match 1 shared topics	DHCCA 十峰中文学校 – Dix Hills Chinese Cultural Association	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mdwi.ag ↗	64 match 1 shared topics	Willkommen beim privaten Studienkolleg Germany	en	language-learning	robotsllmsaihumans	emailphone	none
ethelbertkari.com ↗	64 match 1 shared topics	Ethelbert Kari — Professor of Linguistics \| University of Port Harcourt	en	language-learning	robotsllmsaihumans	emailphone	none
languagemigrationhappiness.com ↗	64 match 1 shared topics	Language Migration Happiness – Welcome to the official website of the research project on language, migration, and well-being funded by the German Research Foundation (DFG) and hosted by the University of Duisburg-Essen.	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
etseverywhere.com ↗	64 match 1 shared topics	English Teachers Everywhere	en	language-learning WordPress	robots llmsaihumans	emailphone	none
oxfordenglishhub.com ↗	63 match 1 shared topics	Oxford English Hub \| Learn English \| Oxford University Press	en	language-learning	robotsllmsaihumans	emailphone	none
languagesoftheworld.info ↗	63 match 1 shared topics	Languages Of The World \| Exploring The Rich Diversity Of Human Languages	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
deuk.co ↗	63 match 1 shared topics	Deutsch-Ukraine Teacher Exchange – A German/English Language Teacher Exchange Program	Colombia en	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.