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Cours de Graphologie par Correspondance | — 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
diconoma.net ↗	62 match 2 shared topics	Dictionnaire onomasiologique	fr	language-learning	robotsllmsaihumans	emailphone	none
afh-mp.fr ↗	37 match 1 shared topics	Cours de grec Toulouse	France fr	language-learning Joomla	robotsllmsaihumans	emailphone	none
actilangue.fr ↗	34 match 1 shared topics	Ecole de français Actilangue à Nice en France \| Cours de langue française FLE sur la Côte	France fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
langocha-strasbourg.com ↗	33 match 1 shared topics	Langocha cours de français à Strasbourg et sa région	fr	language-learning	robotsllmsaihumans	emailphone	none
lapouth.info ↗	33 match 1 shared topics	Apprendre la langue làrì: Grammaire, conjugaison, maths. Cours de làrí.	fr	language-learning	robotsllmsaihumans	emailphone	none
vocab-international.com ↗	33 match 1 shared topics	Vocab　｜ Accueil　- Cours de francais フランス語教室	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
mcd-formation-langue.com ↗	33 match 1 shared topics	Formation en langue - cours de langues individuels \| MCD Formation	fr	language-learning	robotsllmsaihumans	emailphone	none
lamaisondesfemmesasnieres.org ↗	33 match 1 shared topics	Association \| La maison des femmes d'Asnières \| cours de français -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ecole-club.ch ↗	33 match 1 shared topics	Cours de langues, cours de loisirs et formations - École-club Migros	Switzerland fr	language-learning Umbraco	robotsllmsaihumans	emailphone	none
mcd-cours-anglais.com ↗	33 match 1 shared topics	Mcd cours anglais -	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
lapetiteecoledecaroline.com ↗	32 match 1 shared topics	Cours particuliers ABIBAC en Alsace \| Allemand et ateliers créatifs	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
afrilangues.fr ↗	32 match 1 shared topics	Cours de langues africaines - Apprentissage de langues africaines- Traduction - Interprétariat	France fr	language-learning	robotsllmsaihumans	email phone	none
languesvivanteslannion.com ↗	32 match 1 shared topics	Cours d’anglais à Lannion \| Collège, lycée & adultes	fr	language-learning WordPress Spree Commerce	robots llmsaihumans	email phone	none
afmontpellier.fr ↗	32 match 1 shared topics	Alliance Française de Montpellier	France fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
di-pa.net ↗	32 match 1 shared topics	Réseau DiPa Berlin/Brandebourg & Paris/Île-de-France \| OFAJ	fr	language-learning Drupal	robotsllmsaihumans	emailphone	none
academos-59.fr ↗	32 match 1 shared topics	ACADEMOS \| Cours particulier et soutien scolaire à domicile	France fr	homework-and-study	robotsllmsaihumans	emailphone	none
allemand-professionnel.ch ↗	32 match 1 shared topics	Christine Zemp - Cours d'allemand professionnel en entreprise	Switzerland fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
langues-cultures-france.org ↗	32 match 1 shared topics	Réseau Langues et cultures de France \| Place au peuple, à ses langues et à ses cultures	fr	language-learning WordPress Reaction Commerce	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.