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Aneo – Asociación Nacional de Empresas de Aceite de Orujo — 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 Food Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
aprode.es ↗	68 match 1 shared topics	Asociación Profesional de Detallistas de Alimentación en España - APRODE	Spain es	food-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
agafac.es ↗	67 match 1 shared topics	Agafac – Asociación Gallega de Fabricantes de Alimentos Compuestos	Spain es	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
casinosgourmet.cl ↗	66 match 1 shared topics	Casinos Gourmet - Servicios de Alimentación Empresarial de Calidad	Chile es	food-industry	robotsllmsaihumans	emailphone	none
eurest.es ↗	66 match 1 shared topics	Comedor de Empresa e Industria \| La alimentación nos une	Spain es	food-industry WordPress	robotsllmsaihumans	emailphone	none
inversionesmaygersac.com ↗	66 match 1 shared topics	Inversiones Mayger SAC – Alimentación Empresarial	es	food-industry	robotsllmsaihumans	emailphone	none
deoleo.es ↗	66 match 1 shared topics	El Líder Mundial del Aceite de Oliva \| Deoleo	Spain es	food-industry WordPress	robotsllmsaihumans	emailphone	none
afripex.es ↗	65 match 1 shared topics	Asociación de Frigoríficos de Pesca Extractiva - Afripex	Spain es	food-industry	robotsllmsaihumans	email phone	none
aceitedecoco.es ↗	65 match 1 shared topics	Aceite de Coco	Spain es	food-industry	robotsllmsaihumans	emailphone	none
aceitesutica.es ↗	65 match 1 shared topics	Aceites Útica – Aceites de Jaén	Spain es	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
aecoc.es ↗	65 match 1 shared topics	AECOC \| La asociación de fabricantes y distribuidores	Spain es	food-industry WordPress	robotsllmsaihumans	emailphone	none
terramarfoods.ch ↗	65 match 1 shared topics	Nombre De La Empresa	Switzerland es	food-industry	robotsllmsaihumans	emailphone	none
iotparaempresas.com ↗	64 match 1 shared topics	Diagnóstico de Pérdidas Operativas \| Empresas de Alimentos y Frío Industrial	Mexico~ es	food-industry	robotsllmsaihumans	emailphone	none
nessieuropa.com ↗	64 match 1 shared topics	Importación de Frutas de Brasil \| Nessí	es	food-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
anfaco.es ↗	64 match 1 shared topics	Anfaco \| Organizacion Empresarial	Spain es	food-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
disorcafiltration.es ↗	64 match 1 shared topics	Soluciones personalizadas de microfiltración \| Disorca Filtration	Spain es	food-industry WordPress	robotsllmsaihumans	emailphone	none
embutidosmeli.es ↗	64 match 1 shared topics	Embutidos Meli \| Elaboración de embutidos y productos alimentarios de forma tradicional aprovechando la experiencia y el saber hacer de varias generaciones. Empresa familiar con más de veinte años en Cantabria.	Spain es	food-industry Joomla	robotsllmsaihumans	emailphone	none
herci.es ↗	64 match 1 shared topics	HERCI – Distribución de alimentación para hostelería	Spain es	food-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
vsasociados.com ↗	64 match 1 shared topics	Productos de alta calidad de acuerdo a sus necesidades \| V&S Asociados	es	food-industry 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.