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Division Technique du CEJEF | — 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 Vocational Training →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cpp.ch ↗	100 match 1 shared topics	Division Technique du CEJEF \|	Switzerland fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
divart.ch ↗	69 match 1 shared topics	Division Artisanale du CEJEF \| Les artisans de la formation	Switzerland fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dynatechformation.fr ↗	67 match 1 shared topics	Dynatech Formation : formations techniques et e-training	France fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
escaleformationtechnique.com ↗	66 match 1 shared topics	Escale Formation Technique \| Centre de Formation des Navigateurs	fr	vocational-training Drupal	robotsllmsaihumans	emailphone	none
cano-p-formations.fr ↗	66 match 1 shared topics	CANO-P Formations - Techniques d’Optimisation du Potentiel et Hypnose	France fr	vocational-training	robotsllmsaihumans	email phone	none
visionconceptionacademy.com ↗	66 match 1 shared topics	Vision Conception Academy	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
academiebasquedusport.fr ↗	66 match 1 shared topics	Académie Basque du Sport	France fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ecoledemassage.ch ↗	65 match 1 shared topics	Ecole de formation en massage de Lausanne – ECOLE TECHNIQUE DE SANTE	Switzerland fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
123tplformations.com ↗	65 match 1 shared topics	123 TPL Formations - Valoriser votre capital technique et humain	fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
etml-es.ch ↗	65 match 1 shared topics	ETML + ES - Ecole Technique et Supérieure - Ecole des Métiers de Lausanne	Switzerland fr	vocational-training	robotsllmsaihumans	emailphone	none
etml.ch ↗	65 match 1 shared topics	ETML + ES - Ecole Technique et Supérieure - Ecole des Métiers de Lausanne	Switzerland fr	vocational-training	robotsllmsaihumans	emailphone	none
dtaformation.ch ↗	65 match 1 shared topics	Devenez technicien ambulancier en Suisse	Switzerland fr	vocational-training	robotsllmsaihumans	emailphone	none
fabrique-formation.com ↗	64 match 1 shared topics	La fabrique de formation	fr	vocational-training	robotsllmsaihumans	email phone	none
fabriqueformation.com ↗	64 match 1 shared topics	La fabrique de formation	fr	vocational-training	robotsllmsaihumans	email phone	none
onex-tntp.com ↗	64 match 1 shared topics	Formations sécurité cartouches pyrothechniques P2 - ONEX TNTP	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
academiedelahauteur.fr ↗	64 match 1 shared topics	Centre de formation travaux en hauteur \| Unique en Alsace	France fr	vocational-training WordPress	robotsllmsaihumans	email phone	none
autoecoleducentresevran.fr ↗	64 match 1 shared topics	Accueil \| Auto-ecole du Centre Sevran	France fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
devenirtso.ch ↗	64 match 1 shared topics	Technicien·ne en Salle d'Opération » Devenir TSO	Switzerland fr	vocational-training 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.