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Oui Change – Ensemble, changeons nos modes de vie — 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
mecenat-mse.org ↗	65 match 1 shared topics	Mecenat MSE – Changer la participation pour participer aux changements	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
doust.fr ↗	64 match 1 shared topics	Association caritative Doust \| « Ensemble, nous pouvons faire de grandes choses »	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
diaconatbordeaux.fr ↗	64 match 1 shared topics	Le Diaconat de Bordeaux - Ensemble, pour un avenir solidaire.	France fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ensemblepartageonstassin.com ↗	64 match 1 shared topics	Ensemble Partageons Tassin - Association Tassilunoise	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ensemble-metnander.fr ↗	64 match 1 shared topics	Accueil - Ensemble Metnander	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
apgs40510.com ↗	64 match 1 shared topics	APGS – Pour la défense de notre cadre de vie	fr	non-profit-organizations WordPress	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
donsolidaires.fr ↗	64 match 1 shared topics	Dons Solidaires - Agir Ensemble contre la Précarité	France fr	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
donssolidaires.fr ↗	64 match 1 shared topics	Dons Solidaires - Agir Ensemble contre la Précarité	France fr	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
appuietrenouveau.com ↗	64 match 1 shared topics	APPUI & RENOUVEAU – Se relever, se réinventer, avancer ensemble	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
eoleactions.fr ↗	63 match 1 shared topics	Eole Action \| Ensemble pour un avenir meilleur	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
cheminsdelapaix.com ↗	63 match 1 shared topics	Chemins de la Paix à l'Orangerie – Fonds de dotation	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aainb.com ↗	63 match 1 shared topics	AAINB – Association Nationale des Professeurs de Boulangerie	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mdas.org ↗	63 match 1 shared topics	Maison des associations de Strasbourg – Faciliter et promouvoir la vie associative	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
millemots-africa.org ↗	63 match 1 shared topics	Millemots Africa – Leading change, Developing Solution Makers !	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fdd-gscf.fr ↗	63 match 1 shared topics	FDD – Fonds De Dotation du GSCF	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
4asso.com ↗	62 match 1 shared topics	4asso — Cherchez. Donnez. Changez.	fr	non-profit-organizations	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.