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New Com – Expertenwissen aus Marketing und E-Commerce — 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
avidoranta.com ↗	72 match 1 shared topics	avidoranta - Digitales Marketing, Branding und E-Commerce	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
zonarivexa.com ↗	72 match 1 shared topics	Zonarivexa - Expertenwissen zu digitalen Trends und Markenführung	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
nbdigitalexperts.com ↗	70 match 1 shared topics	E-Commerce-Strategien & Social Media Marketing \| NB Digital Experts	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
zoraviquent.com ↗	70 match 1 shared topics	Zoraviquent - Expertenblog für digitales Branding und Marketing	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
langconsulting.de ↗	70 match 1 shared topics	Lang Consulting \| Dein E-Commerce Experte	DE de	marketing-and-advertising	robotsllmsaihumans	email phone	none
lusentiarox.com ↗	69 match 1 shared topics	Lusentiarox - Expertise für digitale Marken, Social Media und E-Commerce	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
zovetairaxo.com ↗	69 match 1 shared topics	Zovetairaxo - Praxiswissen zu digitalem Marketing und Markenführung	de	marketing-and-advertising	robotsllmsaihumans	email phone	none
dialogischagentur.com ↗	69 match 1 shared topics	Expertinnen in Marketing und Text - dialogisch Agentur	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
lumenexosari.com ↗	69 match 1 shared topics	Lumenexosari - Expertenwissen zu Marken, Social Media, Webdesign und Online-Handel	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
jkdigitalemedien.de ↗	69 match 1 shared topics	JK Digital Group – Wir bauen E-Commerce-Marken	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
zs-ecommerce.com ↗	69 match 1 shared topics	zs >> E-Commerce und Online-Marketing - Shopware und xt:Commerce	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
lumareviontix.com ↗	69 match 1 shared topics	lumareviontix - Ihr Blog für digitales Marketing und Branding	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
luminarivo.com ↗	69 match 1 shared topics	Luminarivo - Innovation in Branding und Online-Marketing	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
localsales.de ↗	69 match 1 shared topics	localsales® - Ihre Online Marketing Experten	DE de	marketing-and-advertising	robotsllmsaihumans	email phone	none
delystronix.com ↗	69 match 1 shared topics	delystronix - Digitales Marketing und Branding praxisnah erleben	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
luriaxona.com ↗	68 match 1 shared topics	luriaxona - Insights für E-Commerce, Branding und Social Media	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
keindatingcoach.de ↗	68 match 1 shared topics	Manuel Exner - SEO & Online Marketing Experten	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
macomm.de ↗	68 match 1 shared topics	macomm — Marketing That Connects	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.