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MAC ELT – Bulding Futures — 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
totinamou.com ↗	62 match 1 shared topics	Totina – Yunanca Eğitim Seti	tr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ingilizce-kursu.com ↗	62 match 1 shared topics	British Time – İngilizce Kursu	tr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ingilizcemaarif.com ↗	62 match 1 shared topics	İngilizcemaarif – Beceri temelli İngilizce, güçlü bir gelecek!	tr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
maarifturkce.com ↗	62 match 1 shared topics	Türkçe Öğren! – Gelecek Türkçede!	tr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
ingilizcemateryal.com ↗	61 match 1 shared topics	İngilizce Materyal – İngilizce Öğrenme Rehberim	tr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ingiltereyaz.com ↗	61 match 1 shared topics	İngiltere Yaz – İngiltere Yaz Okulları ve Kampları 2026	tr	language-learning WordPress	robotsllmsaihumans	emailphone	none
1dakikadaingilizce.com ↗	61 match 1 shared topics	1 DAKİKADA İNGİLİZCE – İngilizceyi öğren, hayatına kat! Günde sadece 1 dakikayla fark yarat!	tr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alios.work ↗	60 match 1 shared topics	Alios \| Smart Language Redirect	tr	language-learning	robotsllmsaihumans	emailphone	none
melisamentalkisiselgelisimkursu.com ↗	60 match 1 shared topics	Melisa Mental Kişisel Gelişim Kursu - Mental Aritmetik - Singapur Matematik - Hızlı Okuma - Hafıza Teknikleri - Akıl Oyunları - İngilizce İngilizce	tr	language-learning	robotsllmsaihumans	emailphone	none
minskruscakursu.com ↗	60 match 1 shared topics	Minsk Rusça Kursu - Paket Her Şey Dahil Minsk Rusça Kursları	tr	language-learning WordPress	robotsllmsaihumans	emailphone	none
lazcasozluk.org ↗	60 match 1 shared topics	Lazca Sözlük - Türkçe Lazca Sözlük	tr	language-learning	robotsllmsaihumans	emailphone	none
abdegitim.net ↗	60 match 1 shared topics	ABD Dil Okulları, Amerika'da Üniversite Eğitimi	tr	language-learning	robotsllmsaihumans	emailphone	none
academyofturkish.com ↗	60 match 1 shared topics	Home - Academy of Turkish	tr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
1aydaingilizce.com ↗	60 match 1 shared topics	1 ayda ingilizce	tr	language-learning	robotsllmsaihumans	emailphone	none
bahisborsasi3.com ↗	60 match 1 shared topics	Almanca Kulübü	tr	language-learning XenForo	robotsllmsaihumans	emailphone	none
corluozelders.com ↗	60 match 1 shared topics	Türkçe Online Özel Ders \| Çorlu Özel Ders \| Çorlu Türkçe Özel Ders \| Çorluda Özel Ders \| Çorlu Edebiyat Özel Ders \| Edebiyat Online Özel Ders \| Çorluda Birebir Özel Ders \| Çorlu Ayt Kursları \| Çorluda Tyt Kursları \| Çorlu Lgs Kursları\| Çorluda Özel Kurslar \| Çorlu Özel Mate	tr	language-learning	robotsllmsaihumans	emailphone	none
corneregitim.com ↗	60 match 1 shared topics	Home - corneregitim.com	tr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
fenxify.com ↗	60 match 1 shared topics	Fenxify \| İngilizce Kelime Öğrenme	tr	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.