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SAFE&EVER — DSGVO-Konformität & Website-Analytics in einem — 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
s-roland.de ↗	63 match 2 shared topics	Roland R. Schreiber — Research Profile	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
emenda.de ↗	62 match 2 shared topics	Emenda - Statische Analyse	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
eugene-ihde.de ↗	62 match 2 shared topics	Eugene Ihde \| Softwareentwicklung, Informationssicherheit & SaaS	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
privazer.de ↗	62 match 2 shared topics	PrivaZer – Datenschutz, Sicherheit und Systemreinigung für deinen PC	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
crypttrap.com ↗	62 match 2 shared topics	CRYPTTRAP — Cybersecurity Software	de	information-and-network-security	robotsllmsaihumans	emailphone	none
privacyautomate.de ↗	62 match 2 shared topics	Datenschutzerklärung Generator - PrivacyAutoMate	Germany de	software-and-applications WordPress WooCommerce	robots llmsaihumans	emailphone	none
quasaro.de ↗	62 match 2 shared topics	Quasaro - Sichere Plattform für Ihre Daten und Zugänge	Germany de	software-and-applications	robotsllmsaihumans	email phone	none
email-klassifizierung.de ↗	62 match 2 shared topics	NovaPath - Informationsklassifizierung und Know-how-Schutz	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
emailklassifizierung.de ↗	62 match 2 shared topics	NovaPath - Informationsklassifizierung und Know-how-Schutz	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
evolvice.de ↗	62 match 2 shared topics	Evolvice GmbH — Managed IT & Software Development	Germany de	information-and-network-security	robots llmsaihumans	emailphone	full · 13
duetzer.de ↗	62 match 2 shared topics	Stefan Dützer \| IT & Softwareprojekte	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
robertehrhardt.de ↗	62 match 2 shared topics	Password Safe — Offline Password Manager with Passkeys & AutoFill	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
safefirehouse.de ↗	62 match 2 shared topics	dexa – Safe Fire House	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
priviq.de ↗	61 match 2 shared topics	PrivIQ – Datenschutz, KI & Compliance Plattform	Germany de	information-and-network-security	robots llmsaihumans	email phone	none
thirdcsecurity.com ↗	61 match 2 shared topics	ThirdC Security Platform - Enterprise Security Testing \| 3000+ Tests \| Production Ready	de	information-and-network-security	robotsllmsaihumans	emailphone	none
enco-gera.de ↗	61 match 2 shared topics	Ihr Systemhaus für komplexe IT-Lösungen	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
barnicom.com ↗	61 match 2 shared topics	BARNICOM – Software, KI & Cybersecurity aus Bernau	Germany~ de	software-and-applications WooCommerce	robots llmsaihumans	email phone	none
pruvv.de ↗	61 match 2 shared topics	prUVV.de \| Identifikations-Management System IMS	Germany de	software-and-applications	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.