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RealELT – Dedicated to best practices in education and language teaching. Stephen Shrader acts as a contact point for RealELT. We can be contacted here: 700-8516 岡山県岡山市北区伊福町２－１６－９ノートルダム清心大学英語教育センター RealELT Tel (大学研 — 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
acquisitionofenglish.com ↗	65 match 1 shared topics	The Acquisition of English As a Foreign Language in Bilingual and Multilingual Contexts – Blog dedicated to my thoughts and ideas on this very interesting topic.	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
adcedu.org ↗	65 match 1 shared topics	Andijan Development Center - Language & Education Services in Andijan	en	language-learning	robotsllmsaihumans	emailphone	none
aielt.org ↗	64 match 1 shared topics	AI in ELT – Transforming Language Teaching with Generative AI	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
academy4owls.com ↗	64 match 1 shared topics	NYC Gifted & Talented Test - English as a Second Language (ESL) - SOCIAL EMOTIONAL THINKING	US~ en	language-learning	robotsllmsaihumans	emailphone	none
ibnbattuta.app ↗	64 match 1 shared topics	IBN BATTUTA LEARNING LLC – Innovative Apps for Tourism, Education & Language Learning	US~ en	language-learning	robotsllmsaihumans	email phone	none
ibnmetwaly.com ↗	64 match 1 shared topics	Khalid Metwaly - Educational Leader & Arabic Language Educator	en	language-learning	robotsllmsaihumans	emailphone	none
fullcirclelanguage.com ↗	64 match 1 shared topics	Full Circle Language Learning and Teaching \| Home	en	language-learning Wix	robots llmsaihumans	emailphone	none
afghanistanlinguistics.com ↗	64 match 1 shared topics	Afghanistan Center for Linguistics \| Language Research & Education	en	language-learning	robotsllmsaihumans	emailphone	none
christopherthadcollins.com ↗	64 match 1 shared topics	Chris Collins – Chris Collins is a syntactician, with an interest in African languages. His interests include anaphora, argument structure, negation and ellipsis. The African languages that he has worked on include Ewe (West Africa) and the Khoisan languages (southern Africa).	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
youspeakhq.com ↗	64 match 1 shared topics	YouSpeak – Speak, Learn and Live the Language	en	language-learning	robotsllmsaihumans	emailphone	none
kyushueducation.com ↗	64 match 1 shared topics	Kyushu Language Academy & Consultancy - Expert Business Consulting & Educational Services	en	language-learning	robotsllmsaihumans	emailphone	none
study-chat.com ↗	64 match 1 shared topics	StudyChat - Language Practice \| StudyChat	en	language-learning	robotsllmsaihumans	emailphone	none
time-academy.co.uk ↗	64 match 1 shared topics	Time Academy UK \| Best language schools in the UK and the US	GB en	language-learning WordPress	robotsllmsaihumans	email phone	none
1plusgameregister.com ↗	64 match 1 shared topics	1plusgame \| Discover English Fun: Educational Games to Boost Your Language Skills	en	language-learning	robotsllmsaihumans	emailphone	none
heygerman.org ↗	63 match 1 shared topics	HeyGerman - Learn German Language Online \| IELTS PTE Practice & Preparation	IN~ en	language-learning	robotsllmsaihumans	emailphone	none
enriching-elt.com ↗	63 match 1 shared topics	Homepage - Enriching English Language Teaching	en	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
acceleratinglanguage.com ↗	63 match 1 shared topics	Accelerating Language \| Equipping educators and accelerating language for all s	en	language-learning Wix Wix Stores	robots llmsaihumans	emailphone	none
ace291link.com ↗	63 match 1 shared topics	Ace291 \| Ace291: Your Ultimate Hub for English Language Gaming Enthusiasts and Interactive Learning	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.