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Identitycheck alternatives & similar sites

IdentityCheck — 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
identity-guard.de ↗	72 match 1 shared topics	Identity Guard	DE de	information-and-network-security	robotsllmsaihumans	emailphone	none
iam-solutions.de ↗	66 match 1 shared topics	Identity and Access Management by IAM Solutions Augsburg	DE de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
iamworks.de ↗	65 match 1 shared topics	Identity Security Services from the World's Largest Provider	DE de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
iam-works.de ↗	65 match 1 shared topics	Identity Security Services from the World's Largest Provider	DE de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
iam-managed-service.de ↗	65 match 1 shared topics	Identity Security Services from the World's Largest Provider	DE de	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
datenklau.org ↗	65 match 1 shared topics	SCHUFA Identitätsschutz mit meineSCHUFA plus und meineSCHUFA premium	DE~ de	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
datenklau.net ↗	65 match 1 shared topics	SCHUFA Identitätsschutz mit meineSCHUFA plus und meineSCHUFA premium	DE~ de	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
datendiebstahl.org ↗	65 match 1 shared topics	SCHUFA Identitätsschutz mit meineSCHUFA plus und meineSCHUFA premium	DE~ de	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
cyber-risiko-check.bayern ↗	64 match 1 shared topics	CyberRisikoCheck	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
cyberrisikocheck.bayern ↗	64 match 1 shared topics	CyberRisikoCheck	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
neogentic.ai ↗	64 match 1 shared topics	NeoGentic	de	information-and-network-security	robotsllmsaihumans	emailphone	none
a-i3.org ↗	63 match 1 shared topics	a-i3.org \| Arbeitsgruppe Identitätsschutz im Internet	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
informations-server.de ↗	63 match 1 shared topics	IP-Feststellung	DE de	information-and-network-security	robotsllmsaihumans	emailphone	none
axxess2sign.com ↗	63 match 1 shared topics	Sign2x: Datensouveränität für jede digitale Signatur.	de	information-and-network-security	robots llmsaihumans	emailphone	none
cyber-check.info ↗	63 match 1 shared topics	Cyber Risiko Check - Sichere dein Business gegen Cyberangriffe ab!	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
cyber-risiko-check.net ↗	63 match 1 shared topics	CyberRisikoCheck nach DIN SPEC 27076 für KMU	de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ad-yet.com ↗	63 match 1 shared topics	IT-Sicherheit, Incident Response und Datenschutz seit 2002 \| @-yet	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
hmdata.de ↗	63 match 1 shared topics	HMDATA Ing.-Büro für Datentechnik	DE 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.