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Wallner Consulting – Social Media & PR die wirkt. — 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
nadinekashani.com ↗	68 match 2 shared topics	Nadine Kashani Marketing Consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dovanconsulting-group.com ↗	67 match 2 shared topics	Dovan Consulting	Austria~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ginzel-consulting.com ↗	67 match 2 shared topics	GINZEL CONSULTING \| Dagmar Ginzel	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dsb-konzepte.net ↗	67 match 2 shared topics	DSB-ONE \| Consulting • IT-Solutions • Marketing	de	management-consulting-industry	robotsllmsaihumans	emailphone	none
dsb.digital ↗	67 match 2 shared topics	DSB-ONE \| Consulting • IT-Solutions • Marketing	de	management-consulting-industry	robots llmsaihumans	emailphone	none
dsb-one.digital ↗	67 match 2 shared topics	DSB-ONE \| Consulting • IT-Solutions • Marketing	de	management-consulting-industry	robotsllmsaihumans	emailphone	none
retailmarketingconsulting.com ↗	66 match 2 shared topics	rmc - retail marketing consulting	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
beelini-consulting.com ↗	66 match 2 shared topics	Beelini Consulting	de	management-consulting-industry HubSpot	robotsllmsaihumans	emailphone	none
bermadinger.com ↗	66 match 2 shared topics	Vapaa Consulting \| Michael Bermadinger	de	management-consulting-industry	robotsllmsaihumans	emailphone	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
zielgruppe.ai ↗	66 match 2 shared topics	Zielgruppen Marketing für Consultants & Unternehmensberater	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
100browsergames.com ↗	65 match 2 shared topics	netzkonsorten GbR \| Consulting Online Marketing	Germany~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
benderalpha.com ↗	65 match 2 shared topics	Carsten Bender - Hands-on Growth Consulting mit AI-Stack	de	management-consulting-industry	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
five-seasons.org ↗	65 match 2 shared topics	tt• \| Ihr Experte für Tourismus Consulting	de	management-consulting-industry Storyblok	robotsllmsaihumans	email phone	none
von-wardenburg.com ↗	64 match 2 shared topics	Moritz von Wardenburg - Digital Marketing & E-Commerce Consulting	de	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
return-consulting.com ↗	64 match 2 shared topics	Return Consulting \| Marketing Consulting aus Frankfurt am Main \|	de	marketing-and-advertising Prismic	robotsllmsaihumans	email phone	none
mediadefine.net ↗	64 match 2 shared topics	Unternehmensberatung Strategieberatung Agentur Consulting Marketing IT Managementberatung Mittelstand Mittelstandsberatung IT Consulting Werbeagentur - mediadefine GmbH	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.