similar sites

Browse

AI Report Tools

Sites similar to uplegess.com

Uplegess alternatives & similar sites

UPLEGESS | UNION DES PROFESSEURS DE LANGUES DES GRANDES ÉCOLES ET DES ÉTABLISSEMENTS SUPÉRIEURS — 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
dplangues.com ↗	66 match 1 shared topics	DPLangues - École de Langues à La Réunion	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
cambridge-centre.fr ↗	66 match 1 shared topics	Cours de langues et séjours linguistiques près de Toulouse	FR fr	language-learning	robotsllmsaihumans	emailphone	none
certification-cles.fr ↗	66 match 1 shared topics	CLES - Certificat de compétences en langues de l'enseignement supérieur	FR fr	language-learning	robotsllmsaihumans	emailphone	none
labidconvo.com ↗	66 match 1 shared topics	Labidconvo - Cours de Langues Étrangères en France	fr	language-learning	robotsllmsaihumans	emailphone	none
clicmtl.com ↗	65 match 1 shared topics	CLIC - École de langues au Québec	fr	language-learning	robotsllmsaihumans	emailphone	none
missveronicamolet.com ↗	65 match 1 shared topics	Cours de Langues étrangères à Cambrai \| Miss Veronica Molet	fr	language-learning	robotsllmsaihumans	emailphone	none
yourlanguageworkshop.com ↗	65 match 1 shared topics	Cours de langues en Savoie 5 langues à Aix & Technolac	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
idiomas-formation.com ↗	65 match 1 shared topics	Cours de langues à Paris et séjours linguistiques Idiomas Formation Paris	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
aslearning.fr ↗	65 match 1 shared topics	AS Learning, École de langues étrangères et centre agréé CPF (Compte Personnel de Formation)	FR fr	language-learning	robotsllmsaihumans	email phone	none
idealangues.com ↗	65 match 1 shared topics	idéalangues – séjours linguistiques étudiants et professionnels	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ifprofs.org ↗	64 match 1 shared topics	IFprofs - Réseau mondial de professeurs et ressources pour l'enseignement du français	fr	language-learning	robotsllmsaihumans	emailphone	none
academiedoyle.com ↗	64 match 1 shared topics	Accueil - Académie Doyle-École de langues pour entrepreneurs	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
accent-tonique-31.com ↗	64 match 1 shared topics	Accent'Tonique, École de langues, anglais et espagnol, à Toulouse	fr	language-learning	robotsllmsaihumans	emailphone	none
acetraduction.com ↗	64 match 1 shared topics	ACE Services Linguistiques : traductions & cours de langues de qualité	fr	language-learning Wix	robotsllmsaihumans	emailphone	none
acadelie.com ↗	64 match 1 shared topics	Acadelie - École de Français Langues étrangères à Annecy	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
futur-proche.com ↗	64 match 1 shared topics	Futur Proche \| Centre de langues à STRASBOURG	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
lacnad.com ↗	64 match 1 shared topics	Langues et Cultures du Nord de l’Afrique et Diasporas (LACNAD)	fr	language-learning	robotsllmsaihumans	emailphone	none
labodeslangues.com ↗	64 match 1 shared topics	Le Labo des Langues	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.