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audit.berlin – IT-Sicherheit in Unternehmen neutral und unabhängig — 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
admijalo.com ↗	69 match 1 shared topics	Admijalo – Cybersicherheit für Unternehmen	Germany~ de	information-and-network-security	robotsllmsaihumans	email phone	none
dein-it-schutz.de ↗	69 match 1 shared topics	IT-Sicherheit für kleine und mittlere Unternehmen - dein-it-schutz.de	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
tuvit-services.com ↗	68 match 1 shared topics	Informationssicherheit für Unternehmen \| TÜV TRUST IT	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyber-security-deutschland.de ↗	68 match 1 shared topics	Cyber Security Deutschland \| IT-Sicherheit für Unternehmen – Betriebsfähig & Kontrolliert	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
niemeier-group.com ↗	68 match 1 shared topics	ET-SEC E-Mail Sicherheit für ihr Unternehmen!	de	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
niemeier.com ↗	68 match 1 shared topics	ET-SEC E-Mail Sicherheit für ihr Unternehmen!	de	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
cybermodellregion.nrw ↗	67 match 1 shared topics	Cybersicherheit für Unternehmen im Bergischen Städtedreieck	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
snapsec.at ↗	67 match 1 shared topics	snapSEC - IT-Sicherheit und Datenschutz	Austria de	information-and-network-security	robotsllmsaihumans	emailphone	none
debit-cert.de ↗	67 match 1 shared topics	Willkommen bei debit Certification GbR – Audits für die Informationssicherheit von Unternehmen – Kommunen und KRITIS Betreibern	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
two4awareness.com ↗	67 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	de	information-and-network-security	robotsllmsaihumans	emailphone	none
24awareness.com ↗	67 match 1 shared topics	IntraCast – Ihr IT-Sicherheits-Podcast	de	information-and-network-security	robotsllmsaihumans	emailphone	none
medienkompetenz.digital ↗	67 match 1 shared topics	it-Sicherheit	de	information-and-network-security	robotsllmsaihumans	emailphone	none
c5-testat.info ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cybernewshub.tech ↗	66 match 1 shared topics	CyberNewsHub - IT-Sicherheit, Linux und Technik	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cyberforensics.info ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cyberforensik.info ↗	66 match 1 shared topics	Ihre Experten für IT-Forensik & IT-Sicherheit in Köln	de	information-and-network-security Joomla	robotsllmsaihumans	email phone	none
cydas.de ↗	66 match 1 shared topics	Cydas – Mehr Sicherheit im Web.	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bi-sec.gmbh ↗	66 match 1 shared topics	IT-Sicherheit I bi-sec als Ihr starker Partner	de	information-and-network-security WooCommerce	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.