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Web5 Domain — Decentralized Identity for the Next Web | web5domain.com — 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
didweb.org ↗	73 match 1 shared topics	Decentralized Identifiers Web	en	information-and-network-security	robotsllmsaihumans	emailphone	none
did-me.org ↗	70 match 1 shared topics	did:me \| Decentralized Identifier Method for eIDAS 2.0 and EUDI Wallet Interoperability	en	information-and-network-security	robots llms aihumans	emailphone	none
did-on-btc.org ↗	70 match 1 shared topics	Decenzentralized Identities on Bitcoin	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dentity.com ↗	68 match 1 shared topics	Dentity \| Identity infrastructure for people, enterprises, and agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
derepute.com ↗	68 match 1 shared topics	Derepute - Decentralized Tor Reputation Oracle	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ozoname.com ↗	67 match 1 shared topics	OZO Name \| A Universal Identity Layer for Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sailpt.co ↗	66 match 1 shared topics	The new era of adaptive identity - For humans, machines, AI	Colombia en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
oneidentity.be ↗	66 match 1 shared topics	One Identity \| Unified Identity Security	Belgium en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
bracketdomainvault.com ↗	66 match 1 shared topics	Bracket Domain Vault: Secure Your Digital Identity Today	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.info ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.org ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
digitalidentitycoalition.net ↗	66 match 1 shared topics	Coalition for Digital Identity	en	information-and-network-security Squarespace Magento	robotsllmsaihumans	emailphone	none
sat-iam.com ↗	66 match 1 shared topics	SAT-IAM™ \| Identity & Access Management for Sovereign-Grade Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
heylia.com.br ↗	66 match 1 shared topics	Identity Verification — GlobalID Systems	Brazil en	information-and-network-security	robotsllmsaihumans	emailphone	none
threataware.com ↗	66 match 1 shared topics	ThreatAware \| Centralized Cybersecurity Management	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
1ity.com ↗	66 match 1 shared topics	1ITY - Your Universal Digital Key \| Unified Secure Identity Platform	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
ageevidence.com ↗	66 match 1 shared topics	AgeEvidence — Identity & Age Verification	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
jambavanta.com ↗	66 match 1 shared topics	Jambavanta — Secure Identity Platform for Student Networks	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.