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Multilingo - Corporate language training | Formation linguistique en entreprise — 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
juralingo.ca ↗	77 match 1 shared topics	Juralingo – Formation linguistique \| Language Training	Canada fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
lesateliers.ca ↗	74 match 1 shared topics	ACA \| Formation linguistique \| Professionnels en entreprise ou particuliers	Canada fr	language-learning WordPress	robotsllmsaihumans	email phone	partial · 5
lds-formation-herault.fr ↗	74 match 1 shared topics	LDS Langues : formation linguistique à Montpellier	France fr	language-learning WordPress	robotsllmsaihumans	email phone	none
swisslanguagegroup.ch ↗	71 match 1 shared topics	Solutions linguistiques pour les entreprises - Swiss Language Group	Switzerland fr	language-learning	robotsllmsaihumans	emailphone	none
idiomas-formation.com ↗	70 match 1 shared topics	Cours de langues à Paris et séjours linguistiques Idiomas Formation Paris	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
iftiparis.com ↗	70 match 1 shared topics	IFTI – La solution linguistique globale	France~ fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
langaj.fr ↗	69 match 1 shared topics	LANGAJ \| Formations linguistiques sur mesure	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
linguistic-ld.fr ↗	69 match 1 shared topics	Centre de Formation en Langues étrangères - Linguistic-LD	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alter-native.com ↗	69 match 1 shared topics	Alter-native - Formations d'anglais et Séjours linguistiques	fr	language-learning Wix	robots llmsaihumans	emailphone	none
nacel.com ↗	68 match 1 shared topics	Nacel : Séjour linguistique, formation & stage linguistique	fr	language-learning	robots llmsaihumans	email phone	none
loquendi.fr ↗	68 match 1 shared topics	Loquendi \| Entreprise de Formation Langue Lille	France fr	language-learning	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	68 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
linguapolis.fr ↗	68 match 1 shared topics	Formations en langues étrangères avec Linguapolis	France fr	language-learning WordPress	robotsllmsaihumans	email phone	none
lingua-polis.fr ↗	68 match 1 shared topics	Formations en langues étrangères avec Linguapolis	France fr	language-learning WordPress	robotsllmsaihumans	email phone	none
allemand-plus.ch ↗	68 match 1 shared topics	Cours d’Allemand Professionnels à Lausanne \| Formations pour Entreprises et Particuliers \| allemand-plus.ch	Switzerland fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
granddictionnaire.ca ↗	68 match 1 shared topics	La Vitrine linguistique de l’Office québécois de la langue française	Canada fr	language-learning TYPO3	robotsllmsaihumans	emailphone	none
allemand-professionnel.ch ↗	68 match 1 shared topics	Christine Zemp - Cours d'allemand professionnel en entreprise	Switzerland fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
monceau-langues.fr ↗	67 match 1 shared topics	Monceau Langues : Cours de langues et séjours linguistiques	France fr	language-learning	robotsllmsaihumans	emailphone	partial · 7

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.