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Datenschutz nach der EU-DS-GVO für ihr Unternehmen — 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
dike-datenschutz.com ↗	100 match 1 shared topics	Datenschutz nach der EU-DS-GVO für ihr Unternehmen	de	information-and-network-security	robotsllmsaihumans	emailphone	none
dike-privacy.com ↗	100 match 1 shared topics	Datenschutz nach der EU-DS-GVO für ihr Unternehmen	de	information-and-network-security	robotsllmsaihumans	emailphone	none
daten-schutz-experten.de ↗	75 match 1 shared topics	Datenschutz im Unternehmen \| nach DSGVO – Kutzschbach	Germany de	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
sidra-reputation.com ↗	71 match 1 shared topics	Sidra – Reputationsschutz für Unternehmen	de	information-and-network-security	robotsllmsaihumans	emailphone	none
eurosec.com ↗	71 match 1 shared topics	EUROSEC – IT-Sicherheit für Unternehmen	de	information-and-network-security	robotsllmsaihumans	email phone	none
dein-it-schutz.de ↗	70 match 1 shared topics	IT-Sicherheit für kleine und mittlere Unternehmen - dein-it-schutz.de	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersinn.ch ↗	70 match 1 shared topics	Cybersinn : IT-Sicherheit für Unternehmen	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
datenschutz-bungartz.de ↗	70 match 1 shared topics	Datenschutz Consulting Bungartz	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
mcdatenschutz.com ↗	70 match 1 shared topics	McDatenschutz - Der Schotte unter den Datenschützern	de	information-and-network-security	robotsllmsaihumans	emailphone	none
datenschutz-notizen.de ↗	70 match 1 shared topics	datenschutz notizen \| Blog der DSN GROUP	Germany de	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
datenfuersorge.de ↗	70 match 1 shared topics	Datenfürsorge.de – Ihr Partner für Datenschutz	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
digital-preview.gmbh ↗	70 match 1 shared topics	Datenschutz und Informationssicherheit	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
datenschutz-2k.de ↗	69 match 1 shared topics	Datenschutz und IT-Audit	Germany de	information-and-network-security	robotsllmsaihumans	emailphone	none
prilatec.com ↗	69 match 1 shared topics	PriLaTec GmbH – Datenschutzberatung & DSGVO-Compliance für Unternehmen	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
privacy-cloud.com ↗	69 match 1 shared topics	intersoft consulting services AG \| Experten für Datenschutz & IT	de	information-and-network-security WordPress	robots llmsaihumans	email phone	none
cs-datenwerk.com ↗	69 match 1 shared topics	Datenschutz- & IT-Beratung \| CS Datenwerk GmbH	de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
cs-datenwerk.de ↗	69 match 1 shared topics	Datenschutz- & IT-Beratung \| CS Datenwerk GmbH	Germany de	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
conbool.com ↗	69 match 1 shared topics	Sichere E-Mail Kommunikation für Unternehmen \| Conbool	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.