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Cours particuliers ABIBAC en Alsace | Allemand et ateliers créatifs — 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
allemand-plus.ch ↗	70 match 1 shared topics	Cours d’Allemand Professionnels à Lausanne \| Formations pour Entreprises et Particuliers \| allemand-plus.ch	Switzerland fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
dieakademie.net ↗	67 match 1 shared topics	Die Akademie - Cours d'Allemand Fès \| Formation Langue Allemande Maroc	Morocco~ fr	language-learning	robotsllmsaihumans	emailphone	none
langues-et-entreprises.com ↗	66 match 1 shared topics	Coaching en Allemand sur Mesure - Langues et Entreprises	fr	language-learning WordPress	robotsllmsaihumans	email phone	none
allemand-professionnel.ch ↗	66 match 1 shared topics	Christine Zemp - Cours d'allemand professionnel en entreprise	Switzerland fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
parler-allemand.com ↗	65 match 1 shared topics	Parler Allemand - Comment apprendre l'allemand tout en s'amusant	fr	language-learning	robotsllmsaihumans	emailphone	none
parlonsallemand.com ↗	64 match 1 shared topics	Parlons Allemand - Ressources pour apprendre l'allemand	fr	language-learning WordPress WooCommerce	robots llmsaihumans	emailphone	none
languesvivanteslannion.com ↗	64 match 1 shared topics	Cours d’anglais à Lannion \| Collège, lycée & adultes	fr	language-learning WordPress Spree Commerce	robots llmsaihumans	email phone	none
ddfversailles.com ↗	64 match 1 shared topics	Stages d'anglais et cours particuliers d'anglais (collège/lycée/prépa CPGE/enseignement supérieur/adultes/formation continue) - DDF Versailles, cours d'anglais et stages d'anglais	fr	language-learning Jimdo	robotsllmsaihumans	emailphone	none
differ-allemand.com ↗	64 match 1 shared topics	Différ'Allemand	fr	language-learning	robotsllmsaihumans	emailphone	none
comuniclang.com ↗	63 match 1 shared topics	ComUniclang1, communiquer en anglais \| interaction	fr	language-learning Wix Wix Stores	robots llmsaihumans	emailphone	none
etoilegroupe.com ↗	63 match 1 shared topics	Etoile Institut - Cours de français à Paris	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
etoileinstitut.com ↗	63 match 1 shared topics	Etoile Institut - Cours de français à Paris	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
poppywords.com ↗	63 match 1 shared topics	Poppy Words – Traduction commerciale anglais-allemand vers le français (France et Canada), Cours de langues	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lamaisondesfemmesasnieres.org ↗	63 match 1 shared topics	Association \| La maison des femmes d'Asnières \| cours de français -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
hideutsch.com ↗	63 match 1 shared topics	HiDeutsch - Apprenez l'allemand, élargissez vos horizons !	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
mcd-cours-anglais.com ↗	62 match 1 shared topics	Mcd cours anglais -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	62 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
lagrammaireencouleurs.com ↗	62 match 1 shared topics	Accueil - La Grammaire en Couleurs©	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.