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Proust - Enrichissez votre vocabulaire français — 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
dicode.ch ↗	72 match 1 shared topics	Dicode - Dictionnaire Français Enrichi	Switzerland fr	language-learning	robotsllmsaihumans	emailphone	none
voxea.com ↗	67 match 1 shared topics	École de français à Lausanne \| Cours de langues pour adultes \| VOXEA	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
cebp-paris.com ↗	66 match 1 shared topics	CEBP PARIS \| École de Français Langue Étrangère à Paris	fr	language-learning Wix	robots llmsaihumans	emailphone	none
cavilam.com ↗	66 match 1 shared topics	Apprendre le français en France \| CAVILAM - Alliance française	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
astara-formation.com ↗	66 match 1 shared topics	Organisme de formation Français & Anglais à Angers \| Astara Formation	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
if-maroc.org ↗	66 match 1 shared topics	Institut Français Maroc - Entre la France et le Maroc, le goût du partage !	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
livrefle.com ↗	65 match 1 shared topics	LivreFLE – Dialogues en français \| Dialogues, vidéos et PDF pour apprendre le français facilement	fr	language-learning WordPress	robots llmsaihumans	emailphone	none
3cfle.com ↗	64 match 1 shared topics	3CFLE – Cours de Français Langue Étrangère	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
mylittlepublishing.com ↗	64 match 1 shared topics	Grammar lessons, 5 languages, vocabulary 6500 words 5 languages	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ifburundi.org ↗	64 match 1 shared topics	Institut français du Burundi – Vivre les cultures	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
dovalirisem.com ↗	64 match 1 shared topics	Guide de Prononciation Française - Apprendre le Français en Ligne	fr	language-learning	robotsllmsaihumans	emailphone	none
2coquelicots.com ↗	64 match 1 shared topics	Ecole de français 2 coquelicots – French course in Brittany since 2006	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
neolangue.com ↗	64 match 1 shared topics	NeoLangue \| Votre formation en langue et formation en anglais	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
if-rwanda.org ↗	63 match 1 shared topics	Institut Français du Rwanda – Institut français du Rwanda à Kigali	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
if-laos.org ↗	63 match 1 shared topics	Institut français du Laos – Cours, culture et débats d'idées au Laos	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
dplangues.com ↗	63 match 1 shared topics	DPLangues - École de Langues à La Réunion	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
doogidog.com ↗	63 match 1 shared topics	DOOGIDOG — l'aventure qui apprend	fr	language-learning	robotsllmsaihumans	emailphone	none
assimil-online.com ↗	62 match 1 shared topics	e-Méthode Numérique pour Apprendre une Langue - assimil.com	fr	language-learning PrestaShop	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.