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abilex.de - Digitalisierung von Marketing, Vertrieb und Service — 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
abilex.net ↗	96 match 2 shared topics	abilex.net - Digitalisierung von Marketing, Vertrieb und Service	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
2hm-bs.com ↗	71 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany~ de	sales	robotsllmsaihumans	email phone	partial · 5
2hm-bs.de ↗	71 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany de	sales	robots llmsaihumans	email phone	partial · 5
2hm-business-services.com ↗	71 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany~ de	sales	robotsllmsaihumans	email phone	none
geilesbranding.com ↗	71 match 2 shared topics	Digitale Marketing- und Vertriebsstrategien von Martin&Klein	de	sales	robotsllmsaihumans	emailphone	none
auma-consulting.com ↗	69 match 2 shared topics	Marketing und Vertriebs Automation - Mehr Umsatz, Zeit und Effizienz!	de	sales WordPress	robotsllmsaihumans	emailphone	none
alisser.de ↗	68 match 2 shared topics	LISSER Vertrieb & Marketing	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
al-mueller.de ↗	68 match 2 shared topics	Net-Work Marketing Vertrieb - Beratung in Neutraubling & Regensburg	Germany de	sales WordPress WooCommerce	robotsllmsaihumans	emailphone	none
jessica-marketing.de ↗	68 match 2 shared topics	Agentur für Marketing und Vertrieb - Mehr B2B Kunden & Umsatz - JESSICA Partner für Marketing	Germany de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
jessica-pfm.de ↗	68 match 2 shared topics	Agentur für Marketing und Vertrieb - Mehr B2B Kunden & Umsatz - JESSICA Partner für Marketing	Germany de	marketing-and-advertising WordPress	robots llmsaihumans	email phone	none
ausgesprochen-ansprechend.com ↗	68 match 2 shared topics	Agentur für Marketing und Vertrieb - Mehr B2B Kunden & Umsatz - JESSICA Partner für Marketing	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
josef-ostermeier.de ↗	67 match 2 shared topics	Josef Ostermeier - Marketing und Vertrieb in B2B \| Marketing und Vertrieb für B2B Unternehmen, Online-Marketing und Social Media	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
iws-dialog.de ↗	67 match 2 shared topics	Dialogmarketing als Vertriebsunterstützung - WOCHENBLATT Dialog	Germany de	sales WordPress	robotsllmsaihumans	emailphone	none
wahrheit24.com ↗	67 match 2 shared topics	Lavylites \| meine Erfahrung & Hintergründe \| Network Marketing & Vertrieb	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
kl-marketing.de ↗	66 match 2 shared topics	KL-Marketing – Agentur für Marketing & Vertrieb	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
anzeigendaten.de ↗	66 match 2 shared topics	Das digitale Vertriebssystem \| index Anzeigendaten	Germany de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
profioffice.ch ↗	66 match 2 shared topics	Profi Office: CH-Call Center Services - Telefonservice & Telemarketing	Switzerland de	sales	robotsllmsaihumans	emailphone	none
joshualucakirkland.de ↗	65 match 2 shared topics	Joshua Luca Kirkland – Brand & Product Marketing, Sales Enablement	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.