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QM UM KI AI Datenschutz Enzkreis Freelance — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ai-datenschutz-checker.ch ↗	68 match 2 shared topics	KI-Datenschutz Checker	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
privaciety.de ↗	67 match 2 shared topics	privaciety - Datenschutz einfach weiter gedacht	Germany de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
dsgvo-praktisch.de ↗	63 match 2 shared topics	DSGVO-Praktisch (Inh. Thomas Radtke) – Erfahrener KI-Privacy Experte, Datenschutzauditor & -Beauftragter	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
aelirliora.world ↗	62 match 2 shared topics	Aelirliora - Intelligenter Schutz für digitale Transaktionen und Vermögenswerte	de	information-and-network-security	robotsllmsaihumans	email phone	none
trailsignai.com ↗	61 match 2 shared topics	TrailSign AI - Die Trust-Infrastruktur für AI-Agenten \| AI Identity & Compliance	Germany~ de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mindsignals.ai ↗	61 match 2 shared topics	MindSignals — Trace Data Intelligence	de	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
aisafety.video ↗	61 match 2 shared topics	Where can I find videos about AI safety? - Google Docs	de	information-and-network-security	robotsllmsaihumans	emailphone	none
edgewatch.de ↗	60 match 2 shared topics	First-Party Cybersecurity Intelligence for the AI Era - Edgewatch	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
barallyloa.com ↗	60 match 2 shared topics	Barallyloa - Intelligente Sicherheitsplattform für digitale Workflows und Compliance.	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
sprachenfreak.com ↗	60 match 2 shared topics	AXYS: Die BGH-konforme Resilienz-Architektur – TEILFEHLT Mannheim	de	information-and-network-security	robotsllmsaihumans	emailphone	none
presidio-group.de ↗	60 match 2 shared topics	PRESIDIO — hardened engineering for compliant AI	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
qundo.de ↗	60 match 2 shared topics	Qundo \| KI-Gestützte Identitätsprüfung	Germany de	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
crystalalpha.com ↗	60 match 2 shared topics	Home \| Crystal Alpha	de	information-and-network-security Wix	robots llmsaihumans	emailphone	none
cydis.net ↗	60 match 2 shared topics	Produkte	de	information-and-network-security	robotsllmsaihumans	emailphone	none
erwinquiring.de ↗	60 match 2 shared topics	Erwin Quiring	Germany de	artificial-intelligence	robotsllmsaihumans	emailphone	none
ericspeidel.de ↗	60 match 2 shared topics	whoami - Eric Speidel, Informatiker aus Tübingen	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
toravexilun.com ↗	60 match 2 shared topics	Toravexilun - Transaktionssicherheit durch künstliche Intelligenz im Finanzumfeld	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
torixelavunat.com ↗	60 match 2 shared topics	KOMILAXON ERGASHEVA - Intelligente Sicherheitsprotokolle für digitale Transaktionen	de	artificial-intelligence WordPress	robotsllmsaihumans	email phone	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.