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CSE Central d'Air France – 80 ans de liens et d'engagements — 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
cehapi.org ↗	65 match 1 shared topics	Cêhapi – créateur de liens	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
csa95.com ↗	64 match 1 shared topics	CSA95 – Centre de Services aux Associations du Val d'Oise	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
delfingenfoundation.com ↗	64 match 1 shared topics	Delfingen Foundation \| Solidarité et Engagement Mondial	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
fondationdelfingen.com ↗	64 match 1 shared topics	Delfingen Foundation \| Solidarité et Engagement Mondial	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
clps-namur.be ↗	64 match 1 shared topics	CLPS Namur – Centre Local de Promotion de la Santé	Belgium fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fondationfrancocb.ca ↗	64 match 1 shared topics	Fondation des francophones de Colombie-Britannique – FF	Canada fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mecena.fr ↗	64 match 1 shared topics	Mecena — La plateforme du mécénat d'entreprise en France	France fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
prodessa.org ↗	64 match 1 shared topics	Abrapa – Association d'aide et de service à la personne	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
prix-initiatives.com ↗	63 match 1 shared topics	Prix SUEZ - Institut de France \| SUEZ	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
cartoncollect.com ↗	63 match 1 shared topics	CartonCollect : le lien entre vos dons et leurs besoins.	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
troorg.com ↗	63 match 1 shared topics	TRO France – ஒன்றிணைவோம் சேவை செய்வோம்	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fondationrapha.com ↗	63 match 1 shared topics	Fondation Rapha – Améliorer les conditions de vie, financement de projets au Togo	fr	non-profit-organizations Weebly	robotsllmsaihumans	emailphone	none
minhaj.fr ↗	63 match 1 shared topics	MQI France	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
loge-convergence.fr ↗	63 match 1 shared topics	Convergence – St Raphaël	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
itinerancesudmanche.fr ↗	63 match 1 shared topics	Itinérance Sud-Manche – Association humanitaire	France fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
lajcf.fr ↗	63 match 1 shared topics	AJCF - Association des Jeunes Chinois de France	France fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
mecenat-mse.org ↗	63 match 1 shared topics	Mecenat MSE – Changer la participation pour participer aux changements	fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
julielinas.fr ↗	63 match 1 shared topics	Co & Coop – Julie LINAS : accompagnement et soutien aux structures de l’Economie Sociale et Solidaire	France fr	non-profit-organizations WordPress WooCommerce	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.