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Vouched | Digital Identity Verification — 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
usruar.com ↗	100 match 2 shared topics	Vouched \| Digital Identity Verification	en	artificial-intelligence HubSpot	robotsllmsaihumans	emailphone	none
accurascan.com ↗	76 match 2 shared topics	Identity Verification Services & Digital KYC \| Accura Scan	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
apiclub.in ↗	73 match 2 shared topics	APIclub.in - AI-Powered Identity & Business Intelligence Platform \| Secure Digital Verification	IN en	artificial-intelligence	robotsllmsaihumans	emailphone	none
usesense.ai ↗	72 match 2 shared topics	Identity Verification & KYC for the AI Era \| Sense	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
plancars.com ↗	69 match 2 shared topics	Onmero International \| AI-Powered Identity & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
acutis.dev ↗	68 match 2 shared topics	Acutis — Security Verification for AI Coding Assistants	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
dihtrakia.org ↗	68 match 2 shared topics	Homе - European Digital Innovation Hub Trakia	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
basedagents.ai ↗	67 match 2 shared topics	BasedAgents — Identity for AI Agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
usevigil.dev ↗	67 match 2 shared topics	Agent Auth by Vigil — Identity for AI Agents	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
drimt.io ↗	67 match 2 shared topics	Drimt — AI Digital Risk Management	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
actalumen.com ↗	67 match 2 shared topics	ActaLumen — AI-Powered Document Compliance Verification \| HIPAA, SOC 2, GDPR Templates	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyber-kyc.store ↗	67 match 2 shared topics	GPT / Claude KYC Verification — Pass in 5 Minutes \| KYCPass	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
descope.com ↗	67 match 2 shared topics	Descope \| Customer and Agentic Identity Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cyberstrategy.tech ↗	66 match 2 shared topics	CyberStrategy Consulting \| Identity, Software, and AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
discoveraembit.org ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
useaembit.com ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
demoaembit.com ↗	66 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
denizberke.com ↗	66 match 2 shared topics	Deniz Berke \| Digital Solutions Architect	en	artificial-intelligence	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.