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INICIO | DPM Supporting — 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
dissetconsultors.com ↗	72 match 2 shared topics	Inicio \| Disset Consultors	es	management-consulting-industry	robotsllmsaihumans	emailphone	none
dmconsulting.com.ar ↗	68 match 2 shared topics	Inicio - Rumba Consulting	AR es	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
salenmarte.com ↗	67 match 2 shared topics	INICIO - salenmarte.com	es	marketing-and-advertising Weebly WooCommerce	robots llmsaihumans	emailphone	none
clickcallservices.es ↗	66 match 2 shared topics	Inicio - Clickcallservices	ES es	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
luisgilsanz.com ↗	65 match 2 shared topics	Luis Jaime Gilsanz - Márketing con método	es	management-consulting-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
conectandoempresas.es ↗	65 match 2 shared topics	Consultoría marketing estratégico, ventas y comunicación	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
smart-consulting.es ↗	64 match 2 shared topics	Smart Consulting \| marketing digital con IA aplicada a las empresas	ES es	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
luisrodriguezcid.com ↗	64 match 2 shared topics	Luis Rodríguez Cid. Consultor de marketing y ventas	es	management-consulting-industry WordPress	robots llmsaihumans	emailphone	none
luciernagacomunica.com ↗	64 match 2 shared topics	Luciérnaga \| Consultora de Comunicación Estratégica, Marketing Digital e IA	es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
plateaconsultants.com ↗	64 match 2 shared topics	Platea Consultants \| Reputación, estrategia y branding	es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
coconut-consulting.es ↗	64 match 2 shared topics	Coconut Marketing Consulting	ES es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
johanandresgonzalez.com ↗	64 match 2 shared topics	Soluciones para Negocios \| Marketing – Mercado Publico \| -	es	management-consulting-industry WordPress WooCommerce	robots llmsaihumans	emailphone	none
conmarketing.es ↗	64 match 2 shared topics	ConMarketing - consultoría	ES es	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
econsultor.com.ar ↗	64 match 2 shared topics	eConsultor - Administracion & Marketing en Internet	AR es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bcncg.com ↗	63 match 2 shared topics	Barcelona Consulting Group: Consultoria de Marketing, asesores de confianza	es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
egmarketing.com.ar ↗	63 match 2 shared topics	EG Marketing - Consultora de Marketing para Medicina	AR es	marketing-and-advertising	robotsllmsaihumans	emailphone	none
magdalenavalenzuela.com ↗	63 match 2 shared topics	Magdalena Valenzuela \| Magdalena Valenzuela, consultora de Marketing especialista en empresas famliares	es	management-consulting-industry	robotsllmsaihumans	emailphone	none
decabezacreativos.com.ar ↗	63 match 2 shared topics	De Cabeza - Creativos	AR es	marketing-and-advertising	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.