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Lixrs alternatives & similar sites

LIXRS - Advanced Cloaking System — 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
cat-ot.com ↗	66 match 2 shared topics	CAT - Cyber Advanced Technology	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
clone-systems.eu ↗	65 match 2 shared topics	Home - Clone Systems CY	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
intellarc.com ↗	65 match 2 shared topics	Intellarc Communications - Advancing AI Vision & Smart Infra	en	artificial-intelligence	robotsllmsaihumans	email phone	none
invurion.com ↗	64 match 2 shared topics	Invurion Enterprises LLC \| Advanced Quantum AI Cybersecurity	en	information-and-network-security Wix Wix Stores	robots llmsaihumans	emailphone	none
causalnexussystems.com ↗	64 match 2 shared topics	Causal Nexus Systems LLC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
psyberedge.com ↗	64 match 2 shared topics	PsyberEdge Strategies \| Advanced MarTech, AI & Cyber Solutions	United States~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
iosecur.com ↗	63 match 2 shared topics	IO SECUR \| Trust Layer for AI Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
athulrajpalayi.com ↗	63 match 2 shared topics	Athulraj Palayi \| Systems Modernization Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
garlandfox.com ↗	63 match 2 shared topics	AI-driven cybersecurity solutions \| garlandfox.com - Advancing Cybersecurity Through AI-Powered Innovation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gateco.ai ↗	63 match 2 shared topics	Permission-Aware Retrieval Security for AI Systems	en	artificial-intelligence	robots llmsaihumans	emailphone	none
vorim.ai ↗	62 match 2 shared topics	Vorim AI — Agent Identity and Trust Layer for AI Systems	en	information-and-network-security	robots llmsaihumans	emailphone	none
intellentace.com ↗	62 match 2 shared topics	Intellent ACE — Agent Control for Regulated AI Systems	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ptass.com ↗	62 match 2 shared topics	PTasS - AI Penetration Testing as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attackthealgorithm.com ↗	62 match 2 shared topics	Attacking the Algorithm	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intentreceipt.com ↗	62 match 2 shared topics	IntentReceipt — Evidence of intent for AI systems and agentic workflows	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xscam.com ↗	62 match 2 shared topics	0xScam Labs: AI-AntiScam Ecosystem in a World of Digital Threats	en	information-and-network-security	robotsllmsaihumans	emailphone	none
neotas.com ↗	62 match 2 shared topics	Risk Intelligence Platform For TPRM & Enhanced Due Diligence	United Kingdom~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
avatier.com ↗	61 match 2 shared topics	AI Powered IAM & Security Solutions - Avatier	en	information-and-network-security WordPress	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.