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Anglify - La formation qui va vous faire aimer l'anglais — 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
myanglify.com ↗	100 match 2 shared topics	Anglify - La formation qui va vous faire aimer l'anglais	fr	language-learning	robotsllmsaihumans	emailphone	none
als-formationlangues.com ↗	66 match 2 shared topics	Formation en langues - Chatou	fr	language-learning	robots llmsaihumans	emailphone	none
allysatis.com ↗	66 match 2 shared topics	Apprendre l'anglais gratuitement en ligne	fr	language-learning	robotsllmsaihumans	emailphone	none
mw-com.fr ↗	65 match 2 shared topics	Traduction en Anglais & Formation – Marcel Wiel \| Expertise en Anglais	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
japprendsunelangue.fr ↗	65 match 2 shared topics	Formation LSF à distance, cours en ligne	France fr	online-education WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kerntraining.fr ↗	64 match 2 shared topics	Cours de langues et formations commerciales \| KERN Training	France fr	language-learning TYPO3	robotsllmsaihumans	email phone	none
9rini.com ↗	64 match 2 shared topics	Cours d’anglais en ligne avec profs natifs \| 9rini online	fr	language-learning	robotsllmsaihumans	emailphone	none
lechinoisfacile.fr ↗	63 match 2 shared topics	Cours de chinois en ligne en toute facilité - Le Chinois Facile	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
novakid.fr ↗	63 match 2 shared topics	Cours d'anglais en ligne pour enfants 4 à 12 ans - Prof Anglophone	France fr	language-learning	robotsllmsaihumans	emailphone	none
prepadelf.com ↗	63 match 2 shared topics	En route vers le DELF! - French class online	fr	language-learning	robotsllmsaihumans	emailphone	none
prepaclas.com ↗	63 match 2 shared topics	prepaclas	fr	language-learning	robotsllmsaihumans	emailphone	none
merkezalfahm.fr ↗	62 match 2 shared topics	Merkez Al Fahm - Apprendre la langue arabe facilement - Formation en ligne \| Merkez (institut) de langue arabe et de Coran en ligne.	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
learnenglishavecmoi.com ↗	62 match 2 shared topics	Cours d'Anglais en Ligne Personnalisés et Flexibles pour francophone	fr	language-learning Weebly	robotsllmsaihumans	email phone	none
larabemaitrise.fr ↗	62 match 2 shared topics	Accueil - LAM - L'arabe maîtrisé	France fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
lecafedufle.fr ↗	62 match 2 shared topics	Le Café du FLE - Tests de positionnement FLE en ligne	France fr	online-education WordPress	robotsllmsaihumans	emailphone	none
monorthographe.fr ↗	62 match 2 shared topics	Monorthographe - progresser en orthographe en comprenant la grammaire	France fr	online-education	robotsllmsaihumans	emailphone	none
learn-easy-chinese.com ↗	62 match 2 shared topics	Apprendre le chinois en ligne \| Cours HSK 1 à 6 avec Yi Chinese	fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
3c-centre.net ↗	62 match 2 shared topics	Centre de langue assure la perfection de votre niveau en immersion linguistique en ligne \| 3C Centre	fr	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.