similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to crissyfield.de

Crissyfield alternatives & similar sites

Crissy Field GmbH — 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
crissy-field.de ↗	100 match 2 shared topics	Crissy Field GmbH	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
vivasecur.com ↗	65 match 2 shared topics	VIVASECUR GmbH	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
vivavissecur.com ↗	65 match 2 shared topics	VIVASECUR GmbH	de	information-and-network-security Joomla	robotsllmsaihumans	emailphone	none
cryptosoft.de ↗	64 match 2 shared topics	@ CryptoSoft GmbH	Germany de	software-and-applications	robotsllmsaihumans	emailphone	none
kylsecurity.com ↗	64 match 2 shared topics	KYL Software GmbH	de	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
fs-security.ch ↗	63 match 2 shared topics	Home - FS-Security GmbH	Switzerland de	information-and-network-security	robotsllmsaihumans	emailphone	none
purple-services.ch ↗	62 match 2 shared topics	Startseite - Purple Services GmbH	Switzerland de	software-and-applications	robotsllmsaihumans	email phone	none
aspitec.de ↗	62 match 2 shared topics	aspitec GmbH – Wir bewegen mit Sicherheit	Germany de	information-and-network-security	robotsllmsaihumans	email phone	none
application.supply ↗	62 match 2 shared topics	Application Supply Guard	de	information-and-network-security	robotsllmsaihumans	emailphone	none
opentext.ch ↗	62 match 2 shared topics	OpenText \| Sicheres Informationsmanagement für KI	Switzerland de	software-and-applications	robotsllmsaihumans	emailphone	none
appsecure.nrw ↗	62 match 2 shared topics	AppSecure.nrw - AppSecure.nrw	de	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
asaev.org ↗	62 match 2 shared topics	App Score Association e.V. – Freie Software und Sicherheit: Eine starke Kombination für eine bessere Welt	de	software-and-applications WordPress WooCommerce	robotsllmsaihumans	emailphone	none
data-security.ch ↗	62 match 2 shared topics	DATA Security AG - Datenschutz, AI, MS365 Compliance und mehr!	Switzerland de	software-and-applications HubSpot	robotsllmsaihumans	emailphone	none
intervalid.ch ↗	62 match 2 shared topics	Intervalid - Datenschutz- & Informationssicherheitsmanagement Software	Switzerland de	software-and-applications WordPress	robotsllmsaihumans	email phone	none
2s-gmbh.com ↗	62 match 2 shared topics	Herzlich willkommen bei der 2S - Security Solutions GmbH	de	software-and-applications	robotsllmsaihumans	emailphone	none
2sgmbh.com ↗	62 match 2 shared topics	Herzlich willkommen bei der 2S - Security Solutions GmbH	de	software-and-applications	robotsllmsaihumans	emailphone	none
auchdieserschwachsinnmussinsinternet.de ↗	62 match 2 shared topics	pEp software	Germany de	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
daschum.de ↗	61 match 2 shared topics	Datenschutz Schmidt - Ihr Experte für Datenschutz-Software	Germany de	software-and-applications	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.