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Langues romanes : apprendre italien, espagnol, portugais en 2026 — 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
vamosjuntos.ch ↗	66 match 1 shared topics	Cours d'espagnol • Vamos Juntos • Parler, communiquer, apprendre	Switzerland fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
scarboroformation.com ↗	65 match 1 shared topics	Scarboro Formation – Formations linguistiques en Anglais, Français (FLE) et Espagnol.	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
tibwithtom.com ↗	65 match 1 shared topics	Tom tibétain - Apprendre la Langue Tibétaine \| Cours et Ressources	fr	language-learning	robotsllmsaihumans	emailphone	none
slhtraductions.com ↗	65 match 1 shared topics	Silvia López Hidalgo Services Linguistiques en Espagnol	fr	language-learning	robotsllmsaihumans	emailphone	none
verso-yverdon.ch ↗	65 match 1 shared topics	Apprends le Français en Suisse \| Verso	Switzerland fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ouritalk.com ↗	65 match 1 shared topics	Apprendre le coréen efficacement avec Ouritalk \| OuriTalk	fr	language-learning	robotsllmsaihumans	emailphone	none
aflyon.org ↗	65 match 1 shared topics	Apprendre le français à Lyon - Alliance Française	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jaimeleportugais.com ↗	65 match 1 shared topics	Apprenez le portugais du Portugal – Avec J'aime le portugais, le portugais est enfin facile !	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
jaimeapprendrelespagnol.com ↗	65 match 1 shared topics	J'aime apprendre l'espagnol - le blog - Mon objectif : être bilingue. Tu me suis ? Alors on trace ensemble !	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bonjourdefrance.com ↗	65 match 1 shared topics	Comment apprendre le français ? - Bonjour de France	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
gasyly.com ↗	65 match 1 shared topics	Gasyli - Apprendre le Malagasy en jouant	fr	language-learning	robotsllmsaihumans	emailphone	none
japprendslarabe.net ↗	64 match 1 shared topics	J'apprends l'arabe.net - Apprendre l'arabe en ligne	fr	language-learning	robotsllmsaihumans	emailphone	none
gallico-lce.com ↗	64 match 1 shared topics	Centre de Formation Anglais Français Langues - Gallico	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
simplecomme123.com ↗	64 match 1 shared topics	Apprendre l'allemand, simple comme 123	fr	language-learning	robotsllmsaihumans	emailphone	none
savoir-apprendre.com ↗	64 match 1 shared topics	Savoir Apprendre - Elisabeth Nuyts - Présentation	fr	language-learning Joomla	robotsllmsaihumans	emailphone	none
japonica-nc.com ↗	64 match 1 shared topics	Japonica – Cours de langues asiatiques	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
afnormandie.org ↗	64 match 1 shared topics	L’Alliance Française de Normandie, votre école pour apprendre le français	fr	language-learning X-Cart	robotsllmsaihumans	emailphone	none
didatic.net ↗	64 match 1 shared topics	Didatic - Des machines et des langues - Accueil	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.