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Quantitative Marketing and Consumer Analytics | Business School | University of Mannheim — 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
ams-web.org ↗	66 match 2 shared topics	Academy of Marketing Science	en	marketing-and-advertising Squarespace Magento	robotsllmsaihumans	emailphone	none
affiliatemarketingleaders.com ↗	64 match 2 shared topics	Affiliate Marketing Leaders	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
demltd.com ↗	63 match 2 shared topics	Digital Education Marketing - Digital Education Marketing	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
medialiteracy.net ↗	60 match 2 shared topics	Dr. Peter DeBenedittis – Media Literacy for Prevention, Critical Thinking, Self Esteem	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
simonjblanchard.com ↗	60 match 2 shared topics	Simon J. Blanchard	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
dennyhuynh.com ↗	40 match 1 shared topics	Denny - Marketing PhD \| The Fuqua School of Business at Duke University	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
web360studio.com ↗	38 match 1 shared topics	Web 360 Studio - Business and Consumer Services - Digital Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
prodegemr.eu ↗	38 match 1 shared topics	World Class Marketing and Consumer Insights \| Prodege	European Union en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
weavelytics.com ↗	38 match 1 shared topics	Weavelytics \| Precision Marketing Analytics	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
jaxfloridainternetmarketing.com ↗	38 match 1 shared topics	Jax Florida Internet Marketing - Business and Consumer Services - Digital Marketing	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
marketinganalyticslive.com ↗	38 match 1 shared topics	MALO - Marketing Analytics Live Online	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
meenakshifoundation.org ↗	38 match 1 shared topics	Michaelahlstrom.net LLC \| Marketing and Business Consultancy	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
jamvita.com ↗	38 match 1 shared topics	JAMVITA. Creative Marketing for Business.	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
thetechminers.com ↗	38 match 1 shared topics	WhatsApp Marketing and Business Automation	en	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
smallbusinessmarketingconsultants.com ↗	38 match 1 shared topics	Small Business Marketing Consultants	en	marketing-and-advertising	robots llmsaihumans	email phone	none
wavelength-analytics.com ↗	38 match 1 shared topics	WaveLength Analytics \| Thought leadership and content marketing	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
outbelieve.com ↗	37 match 1 shared topics	Marketing Creative People and Businesses \| APM	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
njackson.co.uk ↗	37 match 1 shared topics	Nathan Jackson \| Marketing & Analytics Consultant	United Kingdom en	marketing-and-advertising WordPress	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.