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2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans — 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
2hm.com ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
uni-sg.com ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
2hm.at ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	AT de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
conjoint.at ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	AT de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
fanmacher.at ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	AT de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
websurvey.at ↗	100 match 2 shared topics	2HMforum. Für beste Beziehungen. - Marktforschung - Kunden zu Fans	AT de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
iconbrand.de ↗	68 match 2 shared topics	IWD Marktforschung	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
kundenwerdenfans.de ↗	66 match 2 shared topics	Kunden werden Fans	DE de	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
flip-marketing.at ↗	66 match 2 shared topics	FLIP Online Marketing – Neue Kunden & Mitarbeiter	AT de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
babsigschwandtner.com ↗	65 match 2 shared topics	Neukunden - und Mitarbeitergewinnung - Startseite	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
lumarothen.com ↗	65 match 2 shared topics	lumarothen - Präzise Werbeanalyse für bessere Marketingentscheidungen heute	DE~ de	advertising-industry	robotsllmsaihumans	email phone	none
iwd-report.de ↗	65 match 2 shared topics	IWD Marktforschungsinstitut – Marktforschung in Deutschland und Europa	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
inntal-marketing.de ↗	65 match 2 shared topics	Agentur Segel Setzen ~ Professionelle Kundenkommunikation, Werbung & Marketing	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hilft-der-werbeagentur.de ↗	65 match 2 shared topics	Als Werbeagentur - Kundenbasis nutzen	DE de	marketing-and-advertising	robotsllmsaihumans	email phone	none
mamega.de ↗	65 match 2 shared topics	Marketing- und Mediengestaltung - MaMega	DE de	advertising-industry Jimdo	robotsllmsaihumans	emailphone	none
andcom.at ↗	64 match 2 shared topics	Agentur für Werbung und Marktkommunikation	AT de	advertising-industry Concrete5	robotsllmsaihumans	emailphone	none
az-marketing.at ↗	64 match 2 shared topics	AZ Marketing - Agentur für Markenwachstum und Werbung	AT de	advertising-industry WordPress WooCommerce	robotsllmsaihumans	email phone	none
designkomm.com ↗	64 match 2 shared topics	Agentur für Marketing - designkomm.com	de	marketing-and-advertising WordPress	robotsllmsaihumans	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.