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ASOCIACIÓN VALENCIANA DE EMPRESARIOS DE CINE. — 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
avfcv.com ↗	76 match 1 shared topics	Home - Asociación Valenciana de Fundaciones de la CV	es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
aeautonomos.es ↗	71 match 1 shared topics	Inicio - AEA - Asociación de Emprendedores y Empresarios Autónomos	ES es	non-profit-organizations	robotsllmsaihumans	emailphone	none
aaaci.org.ar ↗	70 match 1 shared topics	AAACI - Asociación Argentina de Agentes de Carga Internacional	AR es	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
aadim.org.ar ↗	69 match 1 shared topics	AADI - Asociación Argentina de Intérpretes	AR es	non-profit-organizations	robotsllmsaihumans	emailphone	none
aafrio.org.ar ↗	68 match 1 shared topics	Asociación Argentina del Frio \| aafrio	AR es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
capitanesdepesca.org.ar ↗	68 match 1 shared topics	Asociación Argentina de Capitanes Pilotos y Patrones de Pesca	AR es	non-profit-organizations	robotsllmsaihumans	emailphone	none
diariodejulias.org ↗	68 match 1 shared topics	Diario de Julias \| Asociación sin ánimo de lucro	es	non-profit-organizations	robotsllmsaihumans	emailphone	none
redit.es ↗	68 match 1 shared topics	Red de Institutos Tecnológicos Comunitat Valenciana \| Redit	ES es	non-profit-organizations WordPress	robotsllmsaihumans	email phone	none
avidepo.com ↗	68 match 1 shared topics	Asociación \| Asociacion Viguesa de Espondiliticos de Pontevedra \| Vigo	es	non-profit-organizations Wix	robots llmsaihumans	emailphone	none
auxfarbi.com ↗	67 match 1 shared topics	Auxfarbi – Asociación de Auxiliares y Empleados de Farmacia de Vizcaya	es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
fedaschi.com ↗	67 match 1 shared topics	FEDASCHI \| Federacion de Asociaciones Chinas de la Comunidad Valenciana	es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
samivale.com ↗	67 match 1 shared topics	Asociación SAMI VALE \| Impulsando emprendedores en el Perú	es	non-profit-organizations WordPress WooCommerce	robots llmsaihumans	emailphone	none
ameca.org.ar ↗	67 match 1 shared topics	AMECA – Asociación Mutual de Empleados de Cosméticos AVON	AR es	non-profit-organizations	robotsllmsaihumans	emailphone	none
dignidadgalicia.org ↗	67 match 1 shared topics	Dignidad Galicia \| Asociación	es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
andoc.es ↗	67 match 1 shared topics	Andoc \| Objeción de Conciencia - Andoc	ES es	non-profit-organizations WordPress WooCommerce	robotsllmsaihumans	emailphone	none
culturayciencia.org ↗	66 match 1 shared topics	AICC - Asociación de Industrias Culturales y Científicas	es	non-profit-organizations WordPress	robotsllmsaihumans	emailphone	none
bancoalimentoscr.org ↗	66 match 1 shared topics	Banco de Alimentos de Ciudad Real	es	non-profit-organizations Joomla	robotsllmsaihumans	emailphone	none
clubempresarialicade.es ↗	66 match 1 shared topics	Club Empresarial ICADE - Foro de Reflexión y Punto de Encuentro	ES es	non-profit-organizations WordPress	robotsllmsaihumans	email phone	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.