similar sites

Browse

AI Report Tools

Sites similar to uni-sg.com

Uni Sg alternatives & similar sites

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
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
fanbot.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
meine-meinung-zaehlt.de ↗	69 match 2 shared topics	Teilnehmer Marktforschung	DE de	marketing-and-advertising	robotsllmsaihumans	email phone	none
iconbrand.de ↗	68 match 2 shared topics	IWD Marktforschung	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
media-campaign.de ↗	67 match 2 shared topics	SACHSMEDIA - Marketing für Erstklassige Anfragen und Top-Fachkräfte	DE de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
kundenwerdenfans.de ↗	66 match 2 shared topics	Kunden werden Fans	DE de	advertising-industry WordPress	robotsllmsaihumans	emailphone	none
mediaanalysen.de ↗	66 match 2 shared topics	MAS Marketing Service - Institut für Markt- und Kommunikationsforschung	DE de	marketing-and-advertising	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
adcocktail.com ↗	65 match 2 shared topics	ADCocktail.com - Der beste Mix für Ihren Erfolg - Affiliatenetzwerk	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
medienflug.de ↗	65 match 2 shared topics	Medienflug - KI-gestützte Marketing-Ads für Reinigungsunternehmen	DE de	advertising-industry	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

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.