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Fédération du Tarn | Secours populaire français — 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
spf68.org ↗	83 match 1 shared topics	Fédération du Haut-Rhin \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf10.org ↗	83 match 1 shared topics	Fédération de l'Aube \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf69.org ↗	81 match 1 shared topics	Fédération du Rhône \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf63.org ↗	80 match 1 shared topics	Fédération du Puy-de-Dôme \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf79.org ↗	78 match 1 shared topics	Fédération des Deux-Sèvres \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf92.org ↗	78 match 1 shared topics	Fédération des Hauts-de-Seine \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf06.org ↗	78 match 1 shared topics	Fédération des Alpes-Maritimes \| Secours populaire français	France~ fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf-cvdl.org ↗	76 match 1 shared topics	Tout ce qui est humain est nôtre \| Secours populaire français	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
spf-lr.org ↗	72 match 1 shared topics	Le Secours populaire près de chez moi - Association Nationale	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
all-ffi.com ↗	71 match 1 shared topics	Fédération Française des Indépendants	fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
spfmontrouge.org ↗	71 match 1 shared topics	Montrouge – Actualité du comité de Montrouge du Secours Populaire Français	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
prader-willi.fr ↗	67 match 1 shared topics	Accueil - Prader-Willi France	France fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
a-dit.com ↗	66 match 1 shared topics	ADIT Association Française des D.I.T. \| ADIT	fr	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
capmetissage.com ↗	66 match 1 shared topics	CAP Métissage - Association Française du métissage	France~ fr	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
csfv.fr ↗	66 match 1 shared topics	Accueil \| Fédération des syndicats CFTC-CSFV	France fr	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	email phone	none
centre-francais-fondations.org ↗	66 match 1 shared topics	CFF – La fédération des fonds et fondations	fr	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
pompiersdemetz.fr ↗	66 match 1 shared topics	Faire un don \| AMICALE DES SAPEURS POMPIERS DE METZ-PELTRE	France fr	non-profit-organizations	robotsllmsaihumans	emailphone	none
pugwash.fr ↗	65 match 1 shared topics	Pugwash France \| Association Française pour le mouvement Pugwash	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.