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Genis alternatives & similar sites

Genis | Blockchain File Verification & Digital 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
deep-proof.com ↗	75 match 1 shared topics	DeepProof - Verify Digital Authenticity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whitehat.services ↗	74 match 1 shared topics	Digital Content Verification - White Hat Authentication	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptstamp.com ↗	72 match 1 shared topics	CryptStamp — Digital Authenticity Authority	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cryptoscamsupport.com ↗	72 match 1 shared topics	Crypto Scam Support \| Blockchain Forensic Investigation & Digital Asset Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
getveritasid.com ↗	72 match 1 shared topics	VeritasID \| Deepfake Guard & Authenticity Certification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
geeq.io ↗	71 match 1 shared topics	Geeq – Verification Infrastructure for Digital Systems	en	information-and-network-security	robots llmsaihumans	emailphone	none
keynova-recovery.com ↗	70 match 1 shared topics	Keynova Recovery - Digital Fraud Recovery Support \| Blockchain Forensics	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
keyft.com ↗	70 match 1 shared topics	KeyFT \| Field Task Verification & Excel Integration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sqrc.app ↗	70 match 1 shared topics	Sequr Face Authentication	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myidmate.com ↗	70 match 1 shared topics	IDmate - Trusted Digital Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myvizign.com ↗	69 match 1 shared topics	Vizign — Secure Digital Signature Verification \| Vizier Technologies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nametagstaging.com ↗	69 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nametaghosted.com ↗	69 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kicktech.io ↗	69 match 1 shared topics	KickTech — Authenticity you can verify, not just trust	Poland~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3t.ag ↗	69 match 1 shared topics	Blocktag - The Last Mile in Authenticity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dynamictokenverification.com ↗	69 match 1 shared topics	DTV — Dynamic Token Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7slots-protection.tech ↗	69 match 1 shared topics	Dashboard — Brand Verification & Integrity System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepauth.io ↗	68 match 1 shared topics	DeepAuth - Own Your Digital Identity	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.