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Next IT Level GmbH, Franz Lueckl, Immobilien — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
hauser-recht.at ↗	100 match 1 shared topics	Next IT Level GmbH, Franz Lueckl, Immobilien	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
computer-forensik.at ↗	64 match 1 shared topics	IT-Security - Cyber Security - IT Forensic - TEMS IT Security GmbH	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
genoa.at ↗	64 match 1 shared topics	GENOA \| Get Security Done - Experts in Mobility&Cyber Security	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
securitycenter.at ↗	64 match 1 shared topics	IT-Security - Cyber Security - IT Forensic - TEMS IT Security GmbH	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cybersicherheit.at ↗	64 match 1 shared topics	Schutz - Cybersicherheit \| Cybersecurity \| Firewall	Austria de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
inside-security.eu ↗	64 match 1 shared topics	Inside Security GmbH	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
hado-it-security.eu ↗	64 match 1 shared topics	HaDo IT Security - bevor dunkle Wolken aufziehen - Sicherheitscheck im gesammten IT Bereich	European Union de	information-and-network-security	robotsllmsaihumans	emailphone	none
sektioneins.de ↗	63 match 1 shared topics	SektionEins GmbH	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
activelan.ch ↗	63 match 1 shared topics	activeLAN Solutions GmbH	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
admijalo.ch ↗	63 match 1 shared topics	Admijalo – Cybersicherheit für Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	email phone	none
cyberberater.eu ↗	63 match 1 shared topics	Dirk Henneking – Berater für Cyber-Security	European Union de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
it4business.at ↗	63 match 1 shared topics	IT4Business – IT-Security, Virtualisierung & Infrastruktur	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cs-datenwerk.com ↗	63 match 1 shared topics	Datenschutz- & IT-Beratung \| CS Datenwerk GmbH	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
mobileforensic.at ↗	63 match 1 shared topics	Mobile Forensic - Mobile Forensic	Austria de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
red-cs.net ↗	63 match 1 shared topics	Penetrationstest & Red Teaming – Red Cyber Security GmbH (Frankfurt & DACH)	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
red-cs.org ↗	63 match 1 shared topics	Penetrationstest & Red Teaming – Red Cyber Security GmbH (Frankfurt & DACH)	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
red-cyber-security.net ↗	63 match 1 shared topics	Penetrationstest & Red Teaming – Red Cyber Security GmbH (Frankfurt & DACH)	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
red-cyber-security.org ↗	63 match 1 shared topics	Penetrationstest & Red Teaming – Red Cyber Security GmbH (Frankfurt & DACH)	Germany~ de	information-and-network-security	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.