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NETA-NKÁB – Ensemble pour un avenir meilleur — 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 Non Profit Organizations →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
eoleactions.fr ↗	77 match 1 shared topics	Eole Action \| Ensemble pour un avenir meilleur	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ongguiglonouvellevision.org ↗	76 match 1 shared topics	Agissons ensemble pour avenir meilleur	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
diaconatbordeaux.fr ↗	69 match 1 shared topics	Le Diaconat de Bordeaux - Ensemble, pour un avenir solidaire.	France fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eidm-rdc.com ↗	67 match 1 shared topics	EIDM – Ensemble pour les Initiatives de Développement du Mai-Ndombe	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	full · 12
mccfondation.com ↗	67 match 1 shared topics	MCC FONDATION – Innovation sociale et numérique pour un avenir inclusif	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
qualitel.org ↗	66 match 1 shared topics	Engagés pour un habitat meilleur - Association Qualitel	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cerqual-pro.net ↗	66 match 1 shared topics	Engagés pour un habitat meilleur - Association Qualitel	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
onglarescousse.org ↗	65 match 1 shared topics	LA RESCOUSSE – Ensemble, nous pouvons apporter de l'espoir	BJ~ fr	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
accueillir-ensemble.org ↗	65 match 1 shared topics	Accueillir ensemble en Chartreuse	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
phenix.ch ↗	65 match 1 shared topics	Fondation Phénix – S’engager pour soi, avancer ensemble.	Switzerland fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ensemble-metnander.fr ↗	65 match 1 shared topics	Accueil - Ensemble Metnander	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
epis51.fr ↗	65 match 1 shared topics	EPIS - Ensemble pour l’insertion et la solidarité - Insertion professionnelle	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
ong-evisa.org ↗	65 match 1 shared topics	EVISA - Ensemble pour la Valorisation de l'Intelligence et de la Solidarité Africaines	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
tunisianthinktank.com ↗	65 match 1 shared topics	Tunisian Think Tank – Construisons ensemble la Tunisie de Demain	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
association-waf.com ↗	65 match 1 shared topics	ASSOCIATION WAF \| ENSEMBLE, PLUS FORTS POUR LES PROTÉGER	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
minga.net ↗	64 match 1 shared topics	Association minga : faire ensemble	fr	non-profit-organizations WordPress	robots llmsaihumans	emailphone	none
edea-asso.fr ↗	64 match 1 shared topics	EDÉA \| Ensemble Développons l’Accompagnement	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
elisabethpouchelon.fr ↗	64 match 1 shared topics	Elisabeth Pouchelon – Une Femme d'expérience pour un Syndicat efficace	France fr	non-profit-organizations 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.