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Formation management et IA pour entreprises — 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
entreprises-rge.com ↗	74 match 1 shared topics	Formation pour le Label RGE \| Entreprises RGE	fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3conseils.com ↗	73 match 1 shared topics	Formation Lean Management Lyon, Lean Six Sigma et Agile	fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	email phone	none
stratof.com ↗	73 match 1 shared topics	Organisme de formation pour les entreprises \| StratOF	fr	vocational-training	robotsllmsaihumans	emailphone	none
lagence-learning.com ↗	72 match 1 shared topics	L'agence Learning - Organisme de formation pour entreprises	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
laclefnumerique.com ↗	72 match 1 shared topics	La Clef Numérique - Formations & Services pour entreprises	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
cciformation53.fr ↗	72 match 1 shared topics	CCI Formation Mayenne \| Laval \| Tremplin vers les entreprises	FR fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
lagenceequicoaching.com ↗	71 match 1 shared topics	L'Académie Equicoaching - Formation Management & Teambuilding	fr	vocational-training WordPress	robotsllmsaihumans	email phone	none
equicoachingacademy.fr ↗	71 match 1 shared topics	L'Académie Equicoaching - Formation Management & Teambuilding	FR fr	vocational-training WordPress	robotsllmsaihumans	email phone	none
altus-developpement.fr ↗	71 match 1 shared topics	Altus developpement - formation, emploi et entreprise	FR fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
chloemartel.com ↗	71 match 1 shared topics	Chloé Martel \| Formations et outils pour entrepreneurs	fr	vocational-training Wix	robots llmsaihumans	emailphone	none
devenirpro.fr ↗	71 match 1 shared topics	DevenirPro — Formation Création Micro-entreprise Qualiopi	FR fr	vocational-training	robots llmsaihumans	emailphone	none
codeos.fr ↗	71 match 1 shared topics	Formation management à Saint-Maur-des-Fossés - CODEOS®	FR fr	vocational-training	robotsllmsaihumans	emailphone	none
ecole-formation-maintenantlagauche.fr ↗	71 match 1 shared topics	Le coaching entreprise formation	FR fr	vocational-training	robotsllmsaihumans	emailphone	none
en-jeu-formation.fr ↗	71 match 1 shared topics	Formations immersives en communication, management et gestion de projet	FR fr	vocational-training WordPress	robots llmsaihumans	emailphone	none
clformation.fr ↗	70 match 1 shared topics	CLF Formation Certifiée Création Entreprise éligible CPF - RS7004	FR fr	vocational-training WordPress	robotsllmsaihumans	email phone	none
cfl-formation.fr ↗	70 match 1 shared topics	Bienvenue chez : CFL Conseil & Formation entreprise	FR fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
cdo-formation.fr ↗	70 match 1 shared topics	CDO Formation, une offre globale pour les entreprises et collectivités	FR fr	vocational-training	robotsllmsaihumans	email phone	none
blog-formation-entreprise.fr ↗	70 match 1 shared topics	C-Campus - Le blog de la formation en entreprise !	FR 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.