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École de langues Brossard | Candiac | Rive Sud | Traducform — 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
amazingtalker.fr ↗	66 match 2 shared topics	AmazingTalker ｜ Trouvez des professeurs et tuteurs de langues en ligne professionnels	France fr	language-learning	robotsllmsaihumans	emailphone	none
digilangues.fr ↗	64 match 2 shared topics	Cours de langues à distance en visioconférence \| Digilangues	France fr	language-learning WordPress WooCommerce	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
voice-network.net ↗	63 match 2 shared topics	Voice Network – Une formation en langues durable English – French – Spanish	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dipsao.fr ↗	63 match 2 shared topics	Dipsao - L'appétit de la réussite !	France fr	language-learning	robotsllmsaihumans	emailphone	none
voyelia.com ↗	62 match 2 shared topics	Accueil - Voyëlia	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
interknowsys.com ↗	61 match 2 shared topics	Interconnected Knowledge & Systems - Cours de mathématiques, allemand, philosophie, informatique et anglais à Genève	fr	language-learning	robotsllmsaihumans	emailphone	none
didacdoc.fr ↗	61 match 2 shared topics	DidacDoc – Portfolio de formateur – Bruno MARIE	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
voyageaucoeurdesmots.com ↗	61 match 2 shared topics	Coach orthographe & correction professionnelle \| Voyage au cœur des mots	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
neodromes.com ↗	60 match 2 shared topics	Neodromes - Welcome to Multiple Worlds of Knowledge	fr	language-learning	robotsllmsaihumans	emailphone	none
hophopfrench.com ↗	60 match 2 shared topics	Hop Hop French	fr	language-learning	robotsllmsaihumans	emailphone	none
dopaminedrill.com ↗	60 match 2 shared topics	DopamineDrill - Dope ton apprentissage. Léa t'interroge à voix haute.	fr	online-education	robotsllmsaihumans	emailphone	none
2bracademy.com ↗	42 match 2 shared topics	2BR ACADEMY	fr	language-learning	robotsllmsaihumans	emailphone	none
didierlatitudes.fr ↗	42 match 2 shared topics	connexion - Site compagnon FLE Latitudes	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
didierfle-delf.fr ↗	41 match 2 shared topics	connexion - Site compagnon DELF FLE	France fr	homework-and-study WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dialangue.fr ↗	40 match 1 shared topics	Dialangue - École de langues : Hébreu, Anglais, Italien - Paris	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
provenceimmersion.com ↗	39 match 1 shared topics	Provence Immersion – École de Langues Côte d'Azur \| Cours de Langue Nice et Cannes	France~ fr	language-learning	robotsllmsaihumans	emailphone	none
voxea.com ↗	39 match 1 shared topics	École de français à Lausanne \| Cours de langues pour adultes \| VOXEA	fr	language-learning WordPress	robotsllmsaihumans	email phone	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.