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Langophonies | Langues et médiation culturelle — 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
apprendre-les-langues.ch ↗	67 match 1 shared topics	Apprendre les langues \| Suisse \| Méthode Naturelle SA	Switzerland fr	language-learning Wix	robotsllmsaihumans	emailphone	none
medialingua.corsica ↗	66 match 1 shared topics	Medialingua \| Plateforme éducative et culturelle en langue corse	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
deolen-immersion.fr ↗	66 match 1 shared topics	Deolen Immersion Stages Langues & Interculturel sur mesure	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
causons.org ↗	66 match 1 shared topics	Causons • Délier les langues Relier les cultures	fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
culturesourde.fr ↗	66 match 1 shared topics	Culture Sourde - Découvrez la langue des signes et la culture sourde	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	65 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
dixie.fr ↗	65 match 1 shared topics	DIXIE LANGUES - Dixie Langues	France fr	language-learning Weebly	robotsllmsaihumans	emailphone	none
eclat.fr ↗	65 match 1 shared topics	Eclat, centre de formation en langues sur Toulouse	France fr	language-learning	robotsllmsaihumans	emailphone	none
enfin-bilingue.fr ↗	65 match 1 shared topics	Guide pratique sur les langues et leur apprentissage	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
didactic-langues.fr ↗	65 match 1 shared topics	Didactic – Langues \| COURS FRANCAIS LANGUE ETRANGERE	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
acelf.ca ↗	64 match 1 shared topics	ACELF - Association canadienne d'éducation de langue française	Canada fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
servicelangue.com ↗	64 match 1 shared topics	- Service de langues Lambert	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
milleetunelangues.com ↗	64 match 1 shared topics	Accueil - Mille Et Une Langues	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ilccp-coreen-paris.org ↗	64 match 1 shared topics	Institut de Langue et Culture Coréennes de Paris – Cours de coréen depuis 2011	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
esg-langues.fr ↗	64 match 1 shared topics	Centre de formation agréé TOEIC à Paris - ESG Langues	France fr	language-learning Drupal	robotsllmsaihumans	emailphone	none
apprendreaapprendre.be ↗	64 match 1 shared topics	Exercices et jeux en ligne de dictées, multiplication et langues étrangères en utilisant la pédagogie PNL.	Belgium fr	language-learning	robotsllmsaihumans	emailphone	none
crsc.fr ↗	64 match 1 shared topics	Accueil - Maison russe des sciences et de la culture à Paris	France fr	language-learning WordPress	robots llmsaihumans	emailphone	none
emdl.fr ↗	64 match 1 shared topics	EMDL - Éditions Maison des Langues	France fr	language-learning WordPress WooCommerce	robots llmsaihumans	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.