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Shopify Security App | Clone & Bot Protection — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
nesgaurd.com ↗	69 match 2 shared topics	NESGaurd \| #1 SRI Protection Suite \| Top-Rated Website Security Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
crystalsecurity.eu ↗	67 match 2 shared topics	Crystal Security	European Union en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
anonym-pay.eu ↗	67 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
360totalsecurity.com ↗	66 match 2 shared topics	360 Total Security for Home and Business \| Free & Easy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csams.app ↗	66 match 2 shared topics	CSAMS — Cyber Security Audit Management System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ernestsgm.com ↗	66 match 2 shared topics	Cyber Netwire: Security-first chat app	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nemasisva.com ↗	66 match 2 shared topics	Cyber Security Vulnerability Assessment \| Nemasis	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
applicationsecurity.ca ↗	66 match 2 shared topics	Application Security - By Datarisk Canada	Canada en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csecurity.eu ↗	66 match 2 shared topics	cSecurity - Advanced central station monitoring software- security app	European Union en	software-and-applications WordPress	robotsllmsaihumans	emailphone	none
gdprapp.com ↗	66 match 2 shared topics	GDPR App - Data Protection Management Platform	en	software-and-applications	robotsllmsaihumans	emailphone	none
vulnit.com ↗	66 match 2 shared topics	vulnit \| Continuous security testing for mobile app releases	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intellicene.com ↗	66 match 2 shared topics	Intelligent Security Solutions - Physical Security Software	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vulnmapper.com ↗	66 match 2 shared topics	VulnMapper \| Professional SAP Security Mapping	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nextgensoftware.eu ↗	66 match 2 shared topics	Nextgen Software — CyberQuest SIEM, NetAlert NDR & Security Automation	European Union en	information-and-network-security	robots llmsaihumans	emailphone	none
averification.app ↗	66 match 2 shared topics	a verification app – ava: Koenig & Bauer Vision & Protection	en	information-and-network-security TYPO3	robotsllmsaihumans	emailphone	none
gayanood.com ↗	66 match 2 shared topics	GAYAN OOD - iOS VPN & Cleaner Apps \| Mobile Security Solutions	en	software-and-applications	robotsllmsaihumans	emailphone	none
astarios.com ↗	66 match 2 shared topics	Astarios \| Software Development & Security Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vulnsy.com ↗	66 match 2 shared topics	Vulnsy - Pentest Reporting Platform for Security Teams	en	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.