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Descuentos en empresas de fondeo (prop firms) e indicadores NinjaTrader 8 | VizeBot — 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 Coupons And Discounts →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cineconmapfre.net ↗	67 match 1 shared topics	Descuentos en Cines \|Club Mapfre	es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
cineconmapfre.org ↗	67 match 1 shared topics	Descuentos en Cines \|Club Mapfre	es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
funesenunclick.com ↗	67 match 1 shared topics	Funes en un Click \| Descuentos, cupones y negocios de Funes	es	coupons-and-discounts WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 8
help13.com ↗	67 match 1 shared topics	Guru Ahorros Blog \| Guías de descuentos y cupones	es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
compradiccion.es ↗	67 match 1 shared topics	Compradicción - Mejores ofertas de hoy, chollos, rebajas y descuentos	ES es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
checalasofertas.com ↗	67 match 1 shared topics	Checa las Ofertas - Los Mejores Descuentos de Amazon y Mercado Libre	es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
hotelcodigospromo.com ↗	66 match 1 shared topics	Las Mejores Maneras de Encontrar Descuentos de Hoteles	es	coupons-and-discounts WordPress	robotsllmsaihumans	emailphone	none
buscadordechollos.es ↗	66 match 1 shared topics	Buscador de Chollos hasta 95% de descuento en amazon	ES es	coupons-and-discounts	robotsllmsaihumans	emailphone	none
beneficioscorporativos.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
benefit-at-work.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
benefitatwork.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
benefits-at-work.com.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
benefits-at-work.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
beneficiocorporativo.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
cb-sp.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
cbespania.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
corporatebenefits.es ↗	66 match 1 shared topics	corporate benefits - portal de descuentos para empleados - líder en Europa	ES es	coupons-and-discounts TYPO3	robotsllmsaihumans	email phone	none
gangaya.es ↗	66 match 1 shared topics	GangaYa - Las Mejores Ofertas y Descuentos Online	ES es	coupons-and-discounts	robots llmsaihumans	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.