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Verbes irréguliers et vocabulaire anglais - Profdanglais.com — 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
flipverb.com ↗	72 match 1 shared topics	FlipVerb — Verbes irréguliers anglais	fr	language-learning	robotsllmsaihumans	emailphone	none
declicanglais.com ↗	66 match 1 shared topics	Améliorer son anglais simplement \| Déclic Anglais	fr	language-learning Wix	robots llmsaihumans	emailphone	none
debloquetonanglais.com ↗	66 match 1 shared topics	Débloque ton anglais - Cours particuliers pour francophones	fr	language-learning	robotsllmsaihumans	emailphone	none
broadwayinstitute.com ↗	65 match 1 shared topics	Apprendre Anglais chez Le N° 1 de l'Anglais de Communication au Maroc	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
fluentfutureveigy.com ↗	65 match 1 shared topics	Formations Anglais - Cours d'anglais Adaptés pour Tous \| Fluent Future English Academy	fr	language-learning	robotsllmsaihumans	emailphone	none
lebusanglais.com ↗	65 match 1 shared topics	École d'anglais & centre d'examens Cambridge à Paris \| Le Bus Anglais	fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
profmichelle.com ↗	65 match 1 shared topics	Profmichelle - Ce blog propose des exercices et des articles de langue française à tous nos élèves. Pour apprendre... en s'amusant!	fr	language-learning	robotsllmsaihumans	emailphone	none
immersionanglais.fr ↗	65 match 1 shared topics	Immersion Anglais \| Apprendre Anglais sans quitter la France	France fr	language-learning	robotsllmsaihumans	emailphone	none
traduireanglais.com ↗	65 match 1 shared topics	Traduire en anglais	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
i-fa.fr ↗	65 match 1 shared topics	Institut Franco Anglais - Cours Formation Traduction	France fr	language-learning	robotsllmsaihumans	emailphone	none
mcd-cours-anglais.com ↗	64 match 1 shared topics	Mcd cours anglais -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
jeparleenglish.fr ↗	64 match 1 shared topics	Cours d'anglais—Grenoble/en visio Cours d'anglais à Grenoble	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
bristolshouse.com ↗	64 match 1 shared topics	Bristols House, Cours de Français et d'Anglais à Douala	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
multicours-traductions.com ↗	64 match 1 shared topics	Formation anglais italien traduction assermentée Gers Agen Tarbes	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
traduction-anglaise.com ↗	64 match 1 shared topics	Traduction Anglaise - Votre ressource francophone pour maîtriser la traduction anglaise	fr	language-learning	robotsllmsaihumans	emailphone	none
ccbd-english-institute.com ↗	64 match 1 shared topics	CCBD Institut d'Anglais en Martinique	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
multilangclass.com ↗	64 match 1 shared topics	Learn English from French - Interactive Vocabulary Trainer	fr	language-learning	robotsllmsaihumans	emailphone	none
le-dictionnaire.com ↗	64 match 1 shared topics	DICTIONNAIRE FRANCAIS - Définitions, synonymes et conjugaisons en ligne	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.