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Leonie & Markus Walter – LinkedIn Neukunden-Gewinnung — 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 Sales →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
jasminparihar-digital.com ↗	71 match 2 shared topics	Neukundengewinnungssystem	de	sales	robotsllmsaihumans	emailphone	none
jasminparihar-systems.com ↗	71 match 2 shared topics	Neukundengewinnungssystem	de	sales	robotsllmsaihumans	emailphone	none
schweizermarketer.com ↗	70 match 2 shared topics	Swiss Marketer — Planbare Neukundengewinnung für Schweizer KMU	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
muellerolpe.de ↗	68 match 2 shared topics	Neukundengewinnung - Startseite	Germany de	sales	robotsllmsaihumans	emailphone	none
upjarvis.ch ↗	67 match 2 shared topics	Neukunden gewinnen als Dienstleister \| UpJarvis	Switzerland de	sales WordPress	robotsllmsaihumans	emailphone	none
schultz-digital.com ↗	65 match 2 shared topics	B2B-Vertriebsmarketing mit LinkedIn - vertriebsmarketing.com	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
smart-accessibility-platform.com ↗	65 match 2 shared topics	Mehr Kaufbereite B2B Anfragen und Kunden gewinnen \| Arvana	de	sales	robotsllmsaihumans	emailphone	none
2hm-bs.com ↗	63 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany~ de	sales	robotsllmsaihumans	email phone	partial · 5
addressbuddler.com ↗	63 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany~ de	sales	robotsllmsaihumans	email phone	none
2hm-business-services.com ↗	63 match 2 shared topics	B2B Wachstumssystem – Marketing, Vertrieb & CRM \| 2HM	Germany~ de	sales	robotsllmsaihumans	email phone	none
mlm-inboundprofi.de ↗	63 match 2 shared topics	Mit Inbound-Marketing zum MLM-Superstar – Lerne Schritt für Schritt kontinuierlich neue Partner zu gewinnen	Germany de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
martinandklein.com ↗	63 match 2 shared topics	Digitale Marketing- und Vertriebsstrategien von Martin&Klein	de	sales	robotsllmsaihumans	emailphone	none
martinundklein.com ↗	63 match 2 shared topics	Digitale Marketing- und Vertriebsstrategien von Martin&Klein	de	sales	robotsllmsaihumans	emailphone	none
jessica-pfm.com ↗	62 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
match2wish.com ↗	62 match 2 shared topics	match2wish — Neue Kunden in deiner Region \| Schweiz \| wish2match	de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
multistep-formular.de ↗	62 match 2 shared topics	Multistep-Formular \| Mehr Leads durch intelligente Formulare	Germany de	sales	robotsllmsaihumans	emailphone	none
scaleblue-pilot.com ↗	62 match 2 shared topics	BluePilot \| Markttest Deutschland mit messbaren KPIs Insights - Blue Pilot	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
moigay.de ↗	62 match 2 shared topics	mimeco • Mark O. Ihlenfeldt	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.