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Cours de langues et formations commerciales | KERN Training — 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
pomagamacademy.com ↗	66 match 2 shared topics	Centre de Formation Professionnelle Po Magam academy – Cours de langues en ligne & accompagnement dans les procédures de voyage	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
hexalangue.com ↗	66 match 2 shared topics	École de Langue: Apprenez le Français en Ligne \| Hexalangue	fr	language-learning	robotsllmsaihumans	emailphone	none
heybobis.com ↗	65 match 2 shared topics	Deux langues, une seule signification : l'anglais et le français chez Heybobis	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
vlangues.com ↗	65 match 2 shared topics	Cours d'hébreu - apprendre l'hébreu en s'amusant- Cours d'hébreu en visio	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
herosenhongrois.com ↗	64 match 2 shared topics	Cours privés de hongrois pour les francophones / Learn Hungarian \| De Zéro à Héros en hongrois	fr	language-learning Spree Commerce	robotsllmsaihumans	emailphone	none
3c-centre.net ↗	64 match 2 shared topics	Centre de langue assure la perfection de votre niveau en immersion linguistique en ligne \| 3C Centre	fr	language-learning	robotsllmsaihumans	emailphone	none
alfia.biz ↗	63 match 2 shared topics	Alfia Languages - Accueil	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
dictable.org ↗	63 match 2 shared topics	Dictable \| Dictée en ligne, orthographe et grammaire \| Dictable	fr	language-learning	robotsllmsaihumans	emailphone	none
hexagonlc.com ↗	62 match 2 shared topics	Hexagon – Hexagon – a new way to learn, a new way to improve your languages.	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	full · 12
bbceduc.com ↗	61 match 2 shared topics	BBCeduc — E-learning Système Français	fr	language-learning	robotsllmsaihumans	emailphone	none
hestia-developpement.com ↗	61 match 2 shared topics	Apprendre le français en ligne - Français Authentique	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alfadeef.org ↗	60 match 2 shared topics	Daaray Alfadeef – Jàng ngir suqaliku	fr	online-education WordPress	robots llmsaihumans	emailphone	none
2bracademy.com ↗	43 match 2 shared topics	2BR ACADEMY	fr	language-learning	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	43 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
langues-et-competences.com ↗	40 match 1 shared topics	Formation \| Langues & compétences	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vivus-digital.com ↗	40 match 1 shared topics	Vivus Digital - Centre de Formation en Langues Étrangères	fr	language-learning	robotsllmsaihumans	emailphone	none
dieakademie.net ↗	39 match 1 shared topics	Die Akademie - Cours d'Allemand Fès \| Formation Langue Allemande Maroc	Morocco~ fr	language-learning	robotsllmsaihumans	emailphone	none
digitalecom.club ↗	39 match 1 shared topics	Digital Ecom Club \| Formation E-Commerce	fr	online-education Shopify	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.