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Sites similar to doppelgangerprotocol.app

Doppelgangerprotocol alternatives & similar sites

Verify Identity — Doppelgänger Protocol — 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
agent-identity.org ↗	69 match 1 shared topics	SAIP \| Secure Agent Identity Protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
clawbackprotocol.org ↗	68 match 1 shared topics	Clawback Protocol — Cryptographic Data Revocation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
badgeinc.com ↗	68 match 1 shared topics	Badge \| Identity Without Secrets™	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identity-protection.co.uk ↗	68 match 1 shared topics	Identity Protection	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
hidaas.org ↗	68 match 1 shared topics	HIDaaS — Human Identity as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
claim169.org ↗	68 match 1 shared topics	Claim 169 — Secure Identity in a Single QR Code	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentidentityprotocol.io ↗	67 match 1 shared topics	Agent Identity Protocol (AIP) - Agent Identity Protocol	en	information-and-network-security	robots llmsaihumans	emailphone	none
clickreclaim.com ↗	67 match 1 shared topics	Reclaim Protocol - Cryptographic Verification for Identity, Education, Employment & Travel	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agent57.ai ↗	67 match 1 shared topics	Agent 57 — Identity Protection for the AI Era	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oxidsecurity.com ↗	67 match 1 shared topics	Oxid Security — Identify. Protect. Respond.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
kycbox.ai ↗	67 match 1 shared topics	KYCBox — Identity Verification & KYC Automation for India	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhacks.com ↗	67 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhackers.com ↗	67 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhack.com ↗	67 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helpdeskhacks.org ↗	67 match 1 shared topics	Nametag: Identity Verification & Account Protection Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aiforensic.tech ↗	67 match 1 shared topics	AI Identity — Identity + Context-Aware Policy for Every AI Agent	en	information-and-network-security	robots llmsaihumans	emailphone	none
digitalidentity.ltd.uk ↗	66 match 1 shared topics	Digital Identity Ltd	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
yousign.com ↗	66 match 1 shared topics	Yousign (Youtrust) • eSignature & identity verification	en	information-and-network-security	robots llmsaihumans	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.