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DICTIONNAIRE FRANCAIS - Définitions, synonymes et conjugaisons en ligne — 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
dar-darija.com ↗	70 match 1 shared topics	Dictionnaire français arabe marocain +10000 mots - Dar Darija	fr	language-learning WordPress	robots llmsaihumans	emailphone	none
dictionnairedesfrancophones.org ↗	68 match 1 shared topics	Dictionnaire des francophones - Dictionnaire des francophones	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
freelang.com ↗	67 match 1 shared topics	FREELANG - Dictionnaires gratuits à télécharger et Service d'aide à la traduction	fr	language-learning	robotsllmsaihumans	emailphone	none
falc-able.com ↗	67 match 1 shared topics	falc-able – Dictionnaire collaboratif en Facile à Lire et à Comprendre (FALC) et en Langage Clair	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
katameros.app ↗	66 match 1 shared topics	Katameros - Lectionnaire copte	fr	language-learning	robotsllmsaihumans	emailphone	none
etymodico.net ↗	66 match 1 shared topics	Etymodico, le dictionnaire étymologique	fr	language-learning	robotsllmsaihumans	emailphone	none
bristolshouse.com ↗	65 match 1 shared topics	Bristols House, Cours de Français et d'Anglais à Douala	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
allemandcours.fr ↗	65 match 1 shared topics	allemandcours.fr \| Cours d'Allemand Gratuits en Ligne	France fr	language-learning Drupal	robotsllmsaihumans	emailphone	none
a-tire-larigolo.com ↗	65 match 1 shared topics	Mutations de la langue française \| A tire la rigolo	fr	language-learning Wix	robots llmsaihumans	emailphone	none
erofa.org ↗	65 match 1 shared topics	Érofa - Rationalisons l'orthographe !	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
a2b-immersions.com ↗	65 match 1 shared topics	A2B Immersions, école de français pour les étrangers à Montpellier	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
alliance-francaise.fr ↗	65 match 1 shared topics	Apprendre le français en France, Alliance Française Montpellier	France fr	language-learning	robotsllmsaihumans	emailphone	none
autourdumot.fr ↗	65 match 1 shared topics	Champ lexical et synonyme des mots de la langue française - Autour du mot	France fr	language-learning	robotsllmsaihumans	emailphone	none
bds-language-consultants.com ↗	64 match 1 shared topics	Formation en Anglais à Angers et Paris - BDS Language Consultants	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fabrizio-traductions.com ↗	64 match 1 shared topics	Cours italien, français \| Fabrizio Traductions & Formations \| Marseille	fr	language-learning Wix	robots llmsaihumans	emailphone	none
af-france.fr ↗	64 match 1 shared topics	≡ Alliance Française de France \| 1er réseau d’écoles de français en France	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
araxiformations.fr ↗	64 match 1 shared topics	New Home - Araxi Formations en langue	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
infinity-words.com ↗	64 match 1 shared topics	Infinity Words \|\| Apprendre l'anglais autrement	fr	language-learning	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.