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Dipl.-Ing. Hubert Winkelmeyer | Consulting — 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
stahl-marketing.com ↗	69 match 2 shared topics	stahl marketing consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
100browsergames.com ↗	68 match 2 shared topics	netzkonsorten GbR \| Consulting Online Marketing	Germany~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
nadinekashani.com ↗	67 match 2 shared topics	Nadine Kashani Marketing Consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
five-seasons.org ↗	67 match 2 shared topics	tt• \| Ihr Experte für Tourismus Consulting	de	management-consulting-industry Storyblok	robotsllmsaihumans	email phone	none
red-lions.com ↗	67 match 2 shared topics	RED LIONS Consulting Ltd.	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
socialconsulting.tech ↗	66 match 2 shared topics	Sarah Küsel Social Consulting - HOME	de	management-consulting-industry WordPress	robotsllmsaihumans	email phone	none
3tcg.com ↗	66 match 2 shared topics	3T Consulting Group - Partner für ganzheitliche Lösungen am Puls der Zeit	de	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
mint-consulting.net ↗	66 match 2 shared topics	marketing intelligence consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
advanced.berlin ↗	65 match 2 shared topics	Advanced Berlin - Natascha Schmitz, Consulting, Design und Management	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
m-publishing.dental ↗	65 match 2 shared topics	m-consult \| Consulting und Praxismarketing Agentur aus Mülheim an der Ruhr : m-consult.de	de	marketing-and-advertising TYPO3	robotsllmsaihumans	emailphone	none
m-family.dental ↗	65 match 2 shared topics	m-consult \| Consulting und Praxismarketing Agentur aus Mülheim an der Ruhr : m-consult.de	de	marketing-and-advertising TYPO3	robotsllmsaihumans	emailphone	none
m-bassadors.dental ↗	65 match 2 shared topics	m-consult \| Consulting und Praxismarketing Agentur aus Mülheim an der Ruhr : m-consult.de	de	marketing-and-advertising TYPO3	robotsllmsaihumans	emailphone	none
makellos.dental ↗	65 match 2 shared topics	m-consult \| Consulting und Praxismarketing Agentur aus Mülheim an der Ruhr : m-consult.de	de	marketing-and-advertising TYPO3	robotsllmsaihumans	emailphone	none
nathanaelziegler.com ↗	65 match 2 shared topics	D2C Growth Consulting: Profitabel skalieren \| Nathanael Ziegler	de	marketing-and-advertising	robots llmsaihumans	emailphone	none
teleshop24.com ↗	65 match 2 shared topics	Zielgruppen Marketing für Consultants & Unternehmensberater	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
4more-marketing.com ↗	64 match 2 shared topics	4more Marketing- und Markenberatung Raum Augsburg München	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
mitarbeitersuche.org ↗	64 match 2 shared topics	Blog - schallmeyer.de	de	management-consulting-industry WordPress	robotsllmsaihumans	emailphone	none
socialconsulting.agency ↗	64 match 2 shared topics	Mehr Sichtbarkeit auf LinkedIn I Kunden- und Personalgewinnung I Social Consulting by Jana Flacke	de	management-consulting-industry	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.