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Centre National de Ressources Textuelles et Lexicales — 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
mn-texto.fr ↗	68 match 1 shared topics	Ressources numériques Texto	France fr	language-learning	robotsllmsaihumans	emailphone	none
lemoteurdufle.fr ↗	66 match 1 shared topics	Le moteur du FLE : annuaire de ressources FLE	France fr	language-learning	robotsllmsaihumans	emailphone	none
lexicool.fr ↗	66 match 1 shared topics	Lexicool \| Dictionnaires, traduction et ressources linguistiques	France fr	language-learning	robotsllmsaihumans	emailphone	none
ifprofs.fr ↗	65 match 1 shared topics	IFprofs - Réseau mondial de professeurs et ressources pour l'enseignement du français	France fr	language-learning	robotsllmsaihumans	emailphone	none
ifprofs.com ↗	65 match 1 shared topics	IFprofs - Réseau mondial de professeurs et ressources pour l'enseignement du français	fr	language-learning	robotsllmsaihumans	emailphone	none
madininaenglish.fr ↗	64 match 1 shared topics	Madinina English – Ressources pour étudiants & enseignants	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
traduction-anglaise.com ↗	64 match 1 shared topics	Traduction Anglaise - Votre ressource francophone pour maîtriser la traduction anglaise	fr	language-learning	robotsllmsaihumans	emailphone	none
institutlangueseducation.fr ↗	64 match 1 shared topics	Institut Langues Education - centre de langues étrangères	France fr	language-learning WordPress	robots llmsaihumans	emailphone	none
leanantes.com ↗	64 match 1 shared topics	Ressources Universitaires pour Études Linguistiques (LEA & LLCE)	fr	language-learning	robotsllmsaihumans	emailphone	none
linguistic-ld.fr ↗	63 match 1 shared topics	Centre de Formation en Langues étrangères - Linguistic-LD	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lusophonantes.fr ↗	63 match 1 shared topics	Accueil - Centre Culturel Lusophone de Nantes	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
abclettres-expert.com ↗	63 match 1 shared topics	ABC Lettres - Entreprise de Renforcement de Langues et Traduction Multilangues \| ABC Lettres	fr	language-learning	robotsllmsaihumans	emailphone	none
lemaniasummercamp.com ↗	63 match 1 shared topics	Lémania International Summer Camp - Cours de langue avec activités	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
lemaniasummerschool.com ↗	63 match 1 shared topics	Lémania International Summer Camp - Cours de langue avec activités	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
preinscri.com ↗	63 match 1 shared topics	Admission \| ADMISSION – École de Langues et Centre d'Examens à Sfax, Tunis et Sousse	fr	language-learning	robotsllmsaihumans	email phone	none
lyon-bleu.fr ↗	63 match 1 shared topics	Lyon Bleu International - Immersion Lyon Bleu International	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
loquendi.fr ↗	63 match 1 shared topics	Loquendi \| Entreprise de Formation Langue Lille	France fr	language-learning	robotsllmsaihumans	emailphone	none
nantes-esperanto.fr ↗	62 match 1 shared topics	Centre Culturel Nantes Espéranto (CCNE) \| Nanta Esperanto Kulturcentro	France fr	language-learning WordPress	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.