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Didact@lyon 🌳 Des ressources didactiques pour engager les élèves dans leurs apprentissages — 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
enfin-bilingue.fr ↗	67 match 1 shared topics	Guide pratique sur les langues et leur apprentissage	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
cenord.ca ↗	65 match 1 shared topics	CÉNO – Consortium pour les élèves du nord de l’Ontario	Canada fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
espace-langues.fr ↗	65 match 1 shared topics	Apprentissage de langues étrangères	France fr	language-learning	robotsllmsaihumans	emailphone	none
cuedspeech.info ↗	65 match 1 shared topics	Cued Speech Information - Apprentissage des tables de multiplication	United States~ fr	language-learning	robotsllmsaihumans	emailphone	none
ifprofs.org ↗	64 match 1 shared topics	IFprofs - Réseau mondial de professeurs et ressources pour l'enseignement du français	fr	language-learning	robotsllmsaihumans	emailphone	none
pikaboonanny.com ↗	64 match 1 shared topics	Pikaboonanny - Garde Bilingue à Domicile \| Apprentissage Ludique des Langues	fr	language-learning	robotsllmsaihumans	emailphone	none
englishiscool.fr ↗	64 match 1 shared topics	Cours d'anglais pour enfants et adolescents à Vannes et dans le Morbihan.	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
evolangues.fr ↗	64 match 1 shared topics	Evolangues - Un nouveau regard sur l'apprentissage de l'espagnol	France fr	language-learning	robotsllmsaihumans	emailphone	none
cnrtl.fr ↗	64 match 1 shared topics	Centre National de Ressources Textuelles et Lexicales	France fr	language-learning	robotsllmsaihumans	emailphone	none
english-4-fun.fr ↗	64 match 1 shared topics	Matilda English 4 fun! Apprendre l'anglais à Bois-Colombes pour tous	France fr	language-learning Weebly 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
enforex.fr ↗	63 match 1 shared topics	Programmes d'espagnol pour les étrangers \| Enforex	France fr	language-learning	robotsllmsaihumans	email phone	none
cria34.fr ↗	63 match 1 shared topics	CRIA 34 – Centre de Ressources Illettrisme Alphabétisation	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
englishforus.fr ↗	63 match 1 shared topics	Our English lessons	France fr	language-learning	robotsllmsaihumans	emailphone	none
assimil-online.com ↗	63 match 1 shared topics	e-Méthode Numérique pour Apprendre une Langue - assimil.com	fr	language-learning PrestaShop	robotsllmsaihumans	emailphone	none
easyjapan.fr ↗	63 match 1 shared topics	Blog \| Easy Japan - Pour apprendre le Japonais	France fr	language-learning Grav	robotsllmsaihumans	emailphone	none
turquoise-traduction.com ↗	63 match 1 shared topics	Turquoise Traduction – Votre partenaire linguistique pour les démarches officielles.	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
causons.org ↗	62 match 1 shared topics	Causons • Délier les langues Relier les cultures	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.