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Objectif Langues alternatives & similar sites

Audra Langues – Enseignement des langues étangères — 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
espace-langues.fr ↗	68 match 1 shared topics	Apprentissage de langues étrangères	France fr	language-learning	robotsllmsaihumans	emailphone	none
dixie.fr ↗	67 match 1 shared topics	DIXIE LANGUES - Dixie Langues	France fr	language-learning Weebly	robotsllmsaihumans	emailphone	none
mission-eiffel.com ↗	67 match 1 shared topics	Mission Eiffel – Ecole des langues	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
didactic-langues.fr ↗	66 match 1 shared topics	Didactic – Langues \| COURS FRANCAIS LANGUE ETRANGERE	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
missveronicamolet.com ↗	66 match 1 shared topics	Cours de Langues étrangères à Cambrai \| Miss Veronica Molet	fr	language-learning	robotsllmsaihumans	emailphone	none
danielle-leeman.fr ↗	66 match 1 shared topics	Enseignement en Sciences du langage - Danielle Leeman	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3cfle.com ↗	66 match 1 shared topics	3CFLE – Cours de Français Langue Étrangère	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
europeden.fr ↗	66 match 1 shared topics	Bienvenue au centre de langues étrangères EUROPEDEN - Europeden - Centre de formation en langues étrangères aux Herbiers en Vendée	France fr	language-learning Joomla	robotsllmsaihumans	email phone	none
emdl.fr ↗	65 match 1 shared topics	EMDL - Éditions Maison des Langues	France fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
servicelangue.com ↗	65 match 1 shared topics	- Service de langues Lambert	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
apprendreaapprendre.be ↗	65 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
elischamacabinet.com ↗	65 match 1 shared topics	Elischama International Language Cabinet – Des langues pour ouvrir le monde, des mots pour connecter les cultures.	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
causons.org ↗	64 match 1 shared topics	Causons • Délier les langues Relier les cultures	fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
pierrebordas-eli.com ↗	64 match 1 shared topics	Français langue étrangère livres \| Pierre Bordas et Fils \| ELi Éditions	fr	language-learning	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	64 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
elc-togo.com ↗	64 match 1 shared topics	English Language Center – Nul n'enseigne l'anglais comme nous !	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
guildoflogos.com ↗	64 match 1 shared topics	Guild of Logos – le jeu vidéo qui enseigne l'anglais	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
centre-conseils-langues.com ↗	64 match 1 shared topics	C.E.C.A.L. - Centre d’expertise et de conseil sur l’apprentissage des langues	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.