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automITe-Engineering — 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
boll.ch ↗	70 match 1 shared topics	BOLL Engineering AG - IT Security Distribution	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
estora-security.solutions ↗	67 match 1 shared topics	ESTORA ENGINEERING SOLUTIONS \| ESTORA GmbH	de	information-and-network-security SilverStripe	robotsllmsaihumans	email phone	none
kewersoft.com ↗	67 match 1 shared topics	Kewersoft \| Systeminfrastruktur und Private AI Engineering	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	none
meg-line.com ↗	67 match 1 shared topics	Oleg Meglin \| Security, Infrastruktur und Web Engineering	de	information-and-network-security	robotsllmsaihumans	emailphone	none
meglin-media.com ↗	67 match 1 shared topics	Oleg Meglin \| Security, Infrastruktur und Web Engineering	de	information-and-network-security	robotsllmsaihumans	emailphone	none
be-solid.net ↗	66 match 1 shared topics	be.solid GmbH – Security Consulting & Engineering	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
datenkiste.com ↗	64 match 1 shared topics	Digitalisiert.EU – Digitalisierung & Cybersecurity	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	full · 12
7nine-solutions.com ↗	64 match 1 shared topics	7Nine-Solutions \| Cybersecurity	de	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
amh-security.de ↗	63 match 1 shared topics	AMH Security - Cyber Security Freelancer	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyone.ch ↗	63 match 1 shared topics	Cyber Security Schweiz \| CyOne Security AG	Switzerland de	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
visukom.com ↗	63 match 1 shared topics	Marco Di Filippo - Ethical Hacker, Cyber Security Expert, IT-Security Speaker	de	information-and-network-security	robotsllmsaihumans	email phone	none
avotech-gmbh.de ↗	63 match 1 shared topics	AvoTech GmbH - Leading Cybersecurity Solutions \| SOC Services & Security Platform	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
blueboxsecurity.de ↗	63 match 1 shared topics	Bluebox Security – Your Partner for Penetration Testing	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
bluebox-security.de ↗	63 match 1 shared topics	Bluebox Security – Your Partner for Penetration Testing	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersicherheit.pro ↗	62 match 1 shared topics	Cybersecurity Directory Germany \| CyberSicherheitPro	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vinxira.com ↗	62 match 1 shared topics	VINXIRA - We Protect What Drives Your Business	de	information-and-network-security	robots llmsaihumans	emailphone	none
bitlex.ch ↗	62 match 1 shared topics	BitLex - Technologie verantwortungsvoll einsetzen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberpolitics.org ↗	62 match 1 shared topics	CyberPolitics — Cyber Peace Initiative	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.