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stARTistics - Marktforschung für Kultureinrichtungen — 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
measurement-marketing.com ↗	70 match 1 shared topics	whiteboxx Marktforschung Hannover	de	marketing-and-advertising ProcessWire	robotsllmsaihumans	emailphone	none
cropilot.de ↗	70 match 1 shared topics	whiteboxx Marktforschung Hannover	Germany de	marketing-and-advertising ProcessWire	robotsllmsaihumans	emailphone	none
cro-pilot.de ↗	70 match 1 shared topics	whiteboxx Marktforschung Hannover	Germany de	marketing-and-advertising ProcessWire	robotsllmsaihumans	emailphone	none
crt4good.de ↗	69 match 1 shared topics	insights4good.de – Marktforschung für die "Gute Sache".	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nio-field.com ↗	68 match 1 shared topics	Nio Field Service - Marktforschung und Felddienstleistungen	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
deutschemarktforscher.de ↗	67 match 1 shared topics	Deutschlands Marktforscher: Entdecken & mitgestalten.	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
triple-m-mafo.at ↗	66 match 1 shared topics	Startseite - Triple M Matzka Markt- und Meinungsforschung	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
deltamarktforschung.de ↗	66 match 1 shared topics	Delta Marktforschung \| Forschung und Faktenbasierte Beratung	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
tfactory.at ↗	66 match 1 shared topics	tfactory Trendagentur Markt- und Meinungsforschung GmbH	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
t-factory.at ↗	66 match 1 shared topics	tfactory Trendagentur Markt- und Meinungsforschung GmbH	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
cultas.de ↗	66 match 1 shared topics	movarti – Marketing-Tool für mehr Kultur	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
decisive.de ↗	66 match 1 shared topics	Beratung für Digital Analytics & Technical Marketing \| DECISIVE	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
bildungsmarketing.org ↗	66 match 1 shared topics	Bildungsmarketing.org \| Zielgruppengerechtes Marketing für Bildungsanbieter	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
steiermark-shop.at ↗	66 match 1 shared topics	smac GmbH - Marketing, KI & Prozessoptimierung für KMU	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
steiermark-aktiv.at ↗	66 match 1 shared topics	smac GmbH - Marketing, KI & Prozessoptimierung für KMU	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
smac.at ↗	66 match 1 shared topics	smac GmbH - Marketing, KI & Prozessoptimierung für KMU	Austria de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
deinwebimage.de ↗	66 match 1 shared topics	Online Marketing für Umsatzsteigerung und Gewinn	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
danielahoch.de ↗	65 match 1 shared topics	forschung	Germany 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.