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Open Research and Development Platform for Universities and Business. — 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
oxfordenglish.org ↗	66 match 1 shared topics	English Language Courses: The English Language Development Programme	en	language-learning	robotsllmsaihumans	emailphone	none
ladybegaming.com ↗	66 match 1 shared topics	Benjamin Anible	en	language-learning Ghost	robotsllmsaihumans	emailphone	none
languagemigrationhappiness.com ↗	66 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
anc.org ↗	65 match 1 shared topics	Open American National Corpus \| Open Data for Language Research and Education	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
ddddgamebrasil.com ↗	65 match 1 shared topics	dddd game \| An Interactive Platform for Fun and Educational Online English Games	en	language-learning	robotsllmsaihumans	emailphone	none
2phgame.com ↗	65 match 1 shared topics	2ph \| Discover, Play, and Master English Games for All Ages and Skill Levels	en	language-learning	robotsllmsaihumans	emailphone	none
123phlwin.com ↗	65 match 1 shared topics	phlwin \| Ultimate Destination for Diverse and Engaging Online English Language Games and Resources	en	language-learning	robotsllmsaihumans	emailphone	none
kotofrench.com ↗	65 match 1 shared topics	French Learning Platform	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
365jlnet.com ↗	64 match 1 shared topics	365JL - 365JL: Discover Fun and Engaging English Games for All Ages and Skill Levels	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
2phgo.com ↗	64 match 1 shared topics	2ph \| Discover and Play Exciting English Language Games for All Ages and Skills	en	language-learning	robotsllmsaihumans	emailphone	none
oxfordprofessionalenglish.com ↗	64 match 1 shared topics	Oxford Professional English specialises in English for business executives	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
vocabkiller.com ↗	64 match 1 shared topics	VocabKiller - Interactive Vocabulary Learning Platform for English Learners	en	language-learning	robotsllmsaihumans	emailphone	none
2oktt.com ↗	64 match 1 shared topics	OKTT \| Explore Fun and Exciting English Learning Games for All Ages and Levels	PH~ en	language-learning	robotsllmsaihumans	emailphone	none
2okjlcom.com ↗	64 match 1 shared topics	2okjl.com - A Hub for Exciting and Engaging Online English Language Games and Resources	en	language-learning	robotsllmsaihumans	emailphone	none
kotogerman.com ↗	64 match 1 shared topics	German Learning Platform	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
p828php.com ↗	64 match 1 shared topics	p828 - Play and Explore Exciting English Games Online at p828 Platform	en	language-learning	robotsllmsaihumans	emailphone	none
mboivoice.net ↗	64 match 1 shared topics	Abi Benson Silon and Linguistic Research	en	language-learning Drupal	robotsllmsaihumans	emailphone	none
languagefoundry.app ↗	64 match 1 shared topics	Language Revitalization Platform	en	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.