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Sites similar to genuscan.tech

Genuscan alternatives & similar sites

GenuScan | Product | True Pedigree — 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
prodigisign.com ↗	63 match 2 shared topics	Home - ProDigiSign	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
truvern.com ↗	63 match 2 shared topics	Truvern – Board-defensible third-party risk governance \| Truvern	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siftscience.com ↗	63 match 2 shared topics	Digital Fraud Prevention & Risk-Based Authentication \| Sift	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 8
sift.com ↗	63 match 2 shared topics	Digital Fraud Prevention & Risk-Based Authentication \| Sift	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 8
trustify.com ↗	62 match 2 shared topics	Home - Trustify	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identitydot.com ↗	62 match 2 shared topics	IdentityDot \| Brand Protection & Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alternic.com ↗	62 match 2 shared topics	Alternic — Corporate naming and online brand security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idmerit.com ↗	62 match 2 shared topics	Global Identity Verification Solutions Provider via API \| IDMERIT	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
privacyoperator.com ↗	62 match 2 shared topics	Home \| The Privacy Operator	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 1
priverion.com ↗	62 match 2 shared topics	Swiss FADP & GDPR Compliance Platform \| Priverion	Switzerland~ en	information-and-network-security	robots llmsaihumans	emailphone	full · 9
igatheater.com ↗	62 match 2 shared topics	Hydden Playbill \| End Identity Governance Theatre - Make User Access Reviews Real	en	information-and-network-security	robotsllmsaihumans	emailphone	none
igatheatre.com ↗	62 match 2 shared topics	Hydden Playbill \| End Identity Governance Theatre - Make User Access Reviews Real	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simplifiedid.com ↗	62 match 2 shared topics	Home - Simplified.ID	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
simplified-id.com ↗	62 match 2 shared topics	Home - Simplified.ID	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
flexible-apps.com ↗	61 match 2 shared topics	Flexible user License	en	information-and-network-security	robotsllmsaihumans	emailphone	none
accessishield.app ↗	61 match 2 shared topics	AccessiShield — Find & Fix Accessibility Issues on Your Shopify Store	en	information-and-network-security Shopify	robotsllmsaihumans	emailphone	none
demys.com ↗	61 match 2 shared topics	Corporate Domain Name Management for Brands - Com Laude	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identityillustrated.com ↗	61 match 2 shared topics	Identity Illustrated by Smile ID	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 1

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.