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AuthMint - Blockchain-Verified Proof of Authenticity — 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
axiaprotocol.com ↗	72 match 1 shared topics	AxIA Protocol — Digital Content Authenticity Verification	en	information-and-network-security	robots llmsaihumans	emailphone	none
hashyoda.app ↗	71 match 1 shared topics	HashYoda - Blockchain Document Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptstamp.com ↗	69 match 1 shared topics	CryptStamp — Digital Authenticity Authority	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
1auth.cloud ↗	67 match 1 shared topics	1auth - Managed Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1trueid.net ↗	67 match 1 shared topics	1TrueID: Traceability, Anti-Counterfeiting and Blockchain	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
digitalintegrityinstitute.org ↗	67 match 1 shared topics	Digital Integrity: Global Standards for Authenticity, Provenance, and Evidence Integrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dilithia.org ↗	67 match 1 shared topics	Dilithia — Post-Quantum Blockchain	en	information-and-network-security	robots llmsaihumans	emailphone	none
syberkey.com ↗	67 match 1 shared topics	SyberKey — Identity Infrastructure for Human-Verified Actions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybertrace.ltd ↗	67 match 1 shared topics	CyberTrace \| Secure Your Crypto Future with Blockchain Intelligence	en	information-and-network-security	robotsllmsaihumans	email phone	none
useblockmail.com ↗	67 match 1 shared topics	ULedger \| The Quantum-Safe Blockchain Platform for Enterprise	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
netlock.com ↗	67 match 1 shared topics	Netlock \| KYC, Digital Signature & Media Authentication	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
nftcybersecurity.com ↗	67 match 1 shared topics	Largest Blockchain Security Auditor - CertiK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fasafe.com ↗	67 match 1 shared topics	2FASafe - Secure 2FA Authenticator & Online Security Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bankvaultcryptoexchange.com ↗	66 match 1 shared topics	Passwordless Authentication & Invisible Fortified VPN \| BankVault	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bankvaulttravel.net ↗	66 match 1 shared topics	Passwordless Authentication & Invisible Fortified VPN \| BankVault	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pixelbased.ai ↗	66 match 1 shared topics	pixelbased - Authenticate origins, trace ownership, and preserve your content’s story	en	information-and-network-security	robotsllmsaihumans	emailphone	none
svasys.com ↗	66 match 1 shared topics	Svasys Inc. — Cryptographic Identity & Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swectech.com ↗	66 match 1 shared topics	SWECTECH — Data Authentication Platform	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.