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Genoud Traduction | Allemand et néerlandais vers français | Suisse — 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
cecilekellertraduction.com ↗	73 match 1 shared topics	Cécile Keller \| Traduction et cours particuliers d'allemand et de français	fr	language-learning Wix	robots llmsaihumans	emailphone	none
dicobourguignon.fr ↗	68 match 1 shared topics	Dictionnaire & Traducteur : Français - Patois Bourguignon	France fr	language-learning	robotsllmsaihumans	emailphone	none
katetranslate.com ↗	67 match 1 shared topics	kate translate – traductrice français > anglais	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
ecolesuisse-fle.fr ↗	67 match 1 shared topics	École de langue française pour étrangers \| École Suisse Internationale	France fr	language-learning Drupal	robotsllmsaihumans	emailphone	none
dico.fr ↗	66 match 1 shared topics	babelfish — service de traduction respectueux de la vie privée	France fr	language-learning	robotsllmsaihumans	emailphone	none
english-in-alby.fr ↗	66 match 1 shared topics	English in Alby - Interprétariat & Traduction	France fr	language-learning	robotsllmsaihumans	emailphone	none
dicode.be ↗	66 match 1 shared topics	Dicode - Dictionnaire Français Enrichi	Belgium fr	language-learning	robotsllmsaihumans	emailphone	none
dicode.ch ↗	66 match 1 shared topics	Dicode - Dictionnaire Français Enrichi	Switzerland fr	language-learning	robotsllmsaihumans	emailphone	none
diane-langues.fr ↗	66 match 1 shared topics	Dianelangues.fr : Cours et traduction à Paris et Fontainebleau	France fr	language-learning	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
eleanorbaker.com ↗	66 match 1 shared topics	Qui suis-je ? \| Coaching en anglais et français	fr	language-learning Wix	robots llmsaihumans	email phone	none
charlenetranslation.com ↗	65 match 1 shared topics	Traduction \| Charlène Falgayrac	fr	language-learning WordPress	robotsllmsaihumans	emailphone	none
pierrebordas-eli.com ↗	65 match 1 shared topics	Français langue étrangère livres \| Pierre Bordas et Fils \| ELi Éditions	fr	language-learning	robotsllmsaihumans	emailphone	none
crapules-corp.fr ↗	65 match 1 shared topics	APPRENDRE LE JAPONAIS - Cours de japonais - Dictionnaire français japonais	France fr	language-learning	robotsllmsaihumans	emailphone	none
allemand-plus.ch ↗	65 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
imperatif-francais.net ↗	65 match 1 shared topics	Accueil - Impératif français	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
imperatif-francais.org ↗	65 match 1 shared topics	Accueil - Impératif français	fr	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
englishscool-formation.fr ↗	65 match 1 shared topics	English's Cool :formations en anglais, français dans l'Avesnois, Maubeuge et Avesnes sur Helpe.	France 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.