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IPMS - Ecole de formation aux métiers du sport — 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
altis-formation.com ↗	78 match 1 shared topics	ALTIS FORMATION — Préparation aux métiers du Soin	fr	vocational-training	robotsllmsaihumans	emailphone	none
limart.fr ↗	78 match 1 shared topics	École supérieure de formation aux métiers du digital - Ynov	France fr	vocational-training	robotsllmsaihumans	emailphone	none
iofr.fr ↗	77 match 1 shared topics	IOFR - La formation aux métiers de la route	France fr	vocational-training	robotsllmsaihumans	emailphone	none
irss.fr ↗	76 match 1 shared topics	IRSS : Formations aux métiers du Sport, Santé et Petite Enfance	France fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
ifmsalbi.fr ↗	76 match 1 shared topics	Institut de Formation aux Métiers de la Santé d'Albi	France fr	vocational-training	robotsllmsaihumans	emailphone	none
la-wab.fr ↗	76 match 1 shared topics	La WAB - Formation et Reconversion aux Métiers du web	France fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
cefa26.org ↗	74 match 1 shared topics	SYLVACAMPUS - Formations aux métiers du bois et de la forêt	fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cef-bergerac.org ↗	74 match 1 shared topics	CeF Bergerac - Centre de formation aux métiers de la santé et du social	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
idcpro.fr ↗	73 match 1 shared topics	Organisme de formation des métiers du BÂTIMENT à BERGERAC	France fr	vocational-training WordPress	robotsllmsaihumans	emailphone	partial · 8
cecn.be ↗	73 match 1 shared topics	Formation aux métiers de la culture et de l'art	Belgium fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
prepasecu.com ↗	73 match 1 shared topics	Prepasecu \| Le site de préparation aux métiers de la sécurité privée	fr	vocational-training WordPress	robotsllmsaihumans	emailphone	none
latelierdelisette.fr ↗	72 match 1 shared topics	L'atelier de Lisette – Formation aux métiers du pressing	France fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
africadigiempower.org ↗	72 match 1 shared topics	Africa DigiEmpower – Formations gratuites aux métiers de la tech	fr	vocational-training WordPress WooCommerce	robots llmsaihumans	emailphone	none
travelling-pro.com ↗	72 match 1 shared topics	Travelling Formation Professionnelle aux métiers du Cinéma à Montpellier	fr	vocational-training WordPress	robots llmsaihumans	email phone	none
institutpadma.fr ↗	72 match 1 shared topics	Centre de bien-être et de formation métiers du bien-être - Institut Padma	France fr	vocational-training WordPress WooCommerce	robotsllmsaihumans	emailphone	none
abcclim.net ↗	72 match 1 shared topics	ABC CLIM: Formation métiers du froid et de la climatisation	France~ fr	vocational-training Joomla HikaShop	robotsllmsaihumans	emailphone	none
mfr-lapetitegonthiere.fr ↗	72 match 1 shared topics	Formation métiers de la nature - MFR de Anse	France fr	vocational-training	robotsllmsaihumans	emailphone	none
zoo-academia.com ↗	72 match 1 shared topics	Zoo Academia - Formations aux métiers animaliers !	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.