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Jonathan Amaya | Consultor de Marketing — 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 Management Consulting Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
luisrodriguezcid.com ↗	72 match 2 shared topics	Luis Rodríguez Cid. Consultor de marketing y ventas	es	management-consulting-industry WordPress	robots llmsaihumans	emailphone	none
conmarketing.es ↗	71 match 2 shared topics	ConMarketing - consultoría	ES es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
marketing-consulting.es ↗	70 match 2 shared topics	Marketing Consulting	ES es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
egmarketing.com.ar ↗	70 match 2 shared topics	EG Marketing - Consultora de Marketing para Medicina	AR es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
vikings-consulting.es ↗	70 match 2 shared topics	Vikings Marketing Team \| Consultoría Estratégica de Marketing	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
coconut-consulting.es ↗	70 match 2 shared topics	Coconut Marketing Consulting	ES es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
joseporrasmarketing.com ↗	69 match 2 shared topics	José Porras Marketing \| Consultorías Personalizadas	es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
expressia.es ↗	69 match 2 shared topics	Expressia, Consultoría de Marketing Digital e IA - Expressia	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
econsultor.com.ar ↗	68 match 2 shared topics	eConsultor - Administracion & Marketing en Internet	AR es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
luciernagacomunica.com ↗	68 match 2 shared topics	Luciérnaga \| Consultora de Comunicación Estratégica, Marketing Digital e IA	es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bcncg.com ↗	68 match 2 shared topics	Barcelona Consulting Group: Consultoria de Marketing, asesores de confianza	es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dendary.com ↗	68 match 2 shared topics	Dendary - Marketplaces Consulting	es	marketing-and-advertising Webflow	robotsllmsaihumans	email phone	none
2musas.com ↗	68 match 2 shared topics	2 Musas – Consultora creativa de marca	es	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
demcosc.com ↗	67 match 2 shared topics	DEMCO SC – Developing and Marketing Consulting	es	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jonathanarriaga.com ↗	67 match 2 shared topics	Jonathan Arriaga	es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
conectandoempresas.es ↗	67 match 2 shared topics	Consultoría marketing estratégico, ventas y comunicación	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
strategiaonline.es ↗	67 match 2 shared topics	Home - Begoña Rodríguez Consultora estratégica de Marketing Online Growth Marketing	ES es	management-consulting-industry WordPress	robotsllmsaihumans	email phone	none
johanangel.com ↗	67 match 2 shared topics	Johan Angel – Marketing Digital	es	marketing-and-advertising 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.