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John Agelvis | Consultor de Marketing Digital — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
samuelacera.com ↗	79 match 1 shared topics	Samuel Acera - Consultor de estrategia en marketing digital	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
360growdigital.com ↗	78 match 1 shared topics	Consultoría de marketing digital \| 360growdigital	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hannibalrodriguez.com ↗	78 match 1 shared topics	》 Consultor Marketing Digital \| Hannibal Rodriguez	es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
demarketingdigital.com ↗	77 match 1 shared topics	Blog De Marketing Digital	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
nanohevia.com ↗	77 match 1 shared topics	Nano Hevia \| Consultor Marketing Digital, SEO e IA	es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
joanmarant.com ↗	77 match 1 shared topics	Joan Marant \| Consultor de Marketing Digital y Media Buyer	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
123marketingdigital.com ↗	76 match 1 shared topics	Inicio - Agencia de Marketing Digital	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
consultormkt.es ↗	76 match 1 shared topics	Consultor de Marketing Online \| Álvaro Bautista	ES es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hanriverar.com ↗	76 match 1 shared topics	Hansell Rivera \| Consultor Marketing Digital Nicaragua	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
3commarketing.com ↗	76 match 1 shared topics	Consultores de marketing digital en Canarias \| 3com	es	marketing-and-advertising PrestaShop	robots llmsaihumans	email phone	none
zuluagadigital.com ↗	76 match 1 shared topics	Zuluaga Digital – Agencia de Marketing Digital	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
plan-ab.es ↗	75 match 1 shared topics	Plan A/B Agencia de marketing digital	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
o10media.es ↗	75 match 1 shared topics	Agencia de Marketing Digital en Zaragoza \| o10media	ES es	marketing-and-advertising	robotsllmsaihumans	email phone	none
joaquincarretero.com ↗	75 match 1 shared topics	Estrategias de marketing digital \| Joaquín Carretero	es	marketing-and-advertising WordPress WooCommerce	robots llmsaihumans	emailphone	none
ndmarketingdigital.com ↗	75 match 1 shared topics	ND Agencia de Marketing Digital Quito Ecuador Guayaquil	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	partial · 10
lucasarroyo.com ↗	75 match 1 shared topics	CONSULTOR MARKETING ONLINE \| LUCAS ARROYO	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
narvaezcedeno.com ↗	75 match 1 shared topics	Narvaez Cedeño – Consultor de marketing digital Cali	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dropflexmarketing.com ↗	75 match 1 shared topics	DROPFLEX MARKETING LTD - Agencia de Marketing Digital	es	marketing-and-advertising	robots llmsaihumans	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.