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ACCUEIL - KINTERACTION — 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
universobalboni.com ↗	72 match 1 shared topics	Accueil -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
kreyo-culture.com ↗	71 match 1 shared topics	Accueil - Kreyo-culture	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
krioldebissau.com ↗	70 match 1 shared topics	Accueil - Kriol de Bissau	fr	language-learning WordPress	robots llmsaihumans	emailphone	none
ikinyarwanda.ch ↗	66 match 1 shared topics	Accueil \| Ndiga Ikinyarwanda	Switzerland fr	language-learning	robotsllmsaihumans	emailphone	none
ila-famille.com ↗	63 match 1 shared topics	Familles d'accueil pour étudiants à Montpellier, candidature, recrutement - ILA	fr	language-learning	robotsllmsaihumans	emailphone	none
inlingua-fribourg.ch ↗	62 match 1 shared topics	inlingua International \| Language Courses \| More than 300 centers	Switzerland fr	language-learning WordPress	robotsllmsaihumans	email phone	none
inlinguafribourg.ch ↗	62 match 1 shared topics	inlingua International \| Language Courses \| More than 300 centers	Switzerland fr	language-learning WordPress	robotsllmsaihumans	email phone	none
centre-polyglotte.eu ↗	62 match 1 shared topics	Centre Polyglotte - Nort sur Erdre	European Union fr	language-learning WordPress	robotsllmsaihumans	email phone	none
youropize.net ↗	62 match 1 shared topics	Youropize Yourself! – Mobilité internationale ecolaire, logement et emploi à Madrid	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ikusitaikasi.com ↗	61 match 1 shared topics	Ikusi ta Ikasi - Cours de Basque - Particuliers et Entreprises	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ilcp.net ↗	61 match 1 shared topics	CILCP - Cours de portugais à Lyon	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ilctunisia.com ↗	61 match 1 shared topics	ILC • Language Center	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
nuance-traductions.com ↗	61 match 1 shared topics	Nuance Traductions \| Nuance traductions fait la différence	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
0faute.org ↗	61 match 1 shared topics	ZÉR0 FAUTE	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ilc-institut.com ↗	61 match 1 shared topics	Cours de langues au Cameroun \| Allemand, italien \| Bafoussam \| ILC Institut	CM~ fr	language-learning	robotsllmsaihumans	email phone	none
seeyouformations.com ↗	61 match 1 shared topics	Formations d'anglais en immersion dans les pays anglophones	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
sefvisaucanada.org ↗	61 match 1 shared topics	Traductions officielles, français spécialisé et accompagnement linguistique pour vos projets d’intégration et de mobilité au Canada. – Traducciones oficiales, formación en francés y acompañamiento lingüístico para tus proyectos migratorios hacia Canadá. Official translations, Fren	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
universdeslanguesafricaines.com ↗	61 match 1 shared topics	Univers des langues africaines : La référence de l’apprentissage pour – univers des langues Africaines	fr	language-learning Shopify	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.