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Susbase alternatives & similar sites

SusBase: The Crowd-Sourced Link Verification Layer — 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
domainverify.org ↗	68 match 1 shared topics	Domain Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
resetlogin.com ↗	68 match 1 shared topics	Verification Required	en	information-and-network-security	robotsllmsaihumans	emailphone	none
go2glory.com ↗	68 match 1 shared topics	GO2GLORY - Verification Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
goaccessopenorigins.com ↗	68 match 1 shared topics	OpenOrigins - Digital Media Verification and Trust Layer for the Internet	en	information-and-network-security	robots llmsaihumans	emailphone	none
cyblinkltd.com ↗	67 match 1 shared topics	Cyberlink \| Secure Identity Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7slots-protection.tech ↗	67 match 1 shared topics	Dashboard — Brand Verification & Integrity System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
7-slots-protection.online ↗	67 match 1 shared topics	Brand Integrity & Verification Resource — 7-slots-protection.online	en	information-and-network-security	robotsllmsaihumans	emailphone	none
slopornot.org ↗	67 match 1 shared topics	Slop or Not? - Content Verification Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keyft.com ↗	67 match 1 shared topics	KeyFT \| Field Task Verification & Excel Integration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abyka.net ↗	67 match 1 shared topics	ID Fraud Prevention & ID Verification - IDScan.net	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
smsverifyonline.com ↗	67 match 1 shared topics	Bypass Phone Verification \| Sms Verification Online \| Verify Sms	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
kenilglobal.com ↗	66 match 1 shared topics	KenilGlobal \| Identity, KYC & Verification APIs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fr-identity.com ↗	66 match 1 shared topics	FR IDENTITY LTD \| Digital Identity Verification Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kidsheriff.com ↗	66 match 1 shared topics	Age Verification Systems – ID Verification Services - Integrity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
antiphishing.biz ↗	66 match 1 shared topics	Enterprise-Grade Infrastructure Security & Link Integrity Verification - Antiphishing.biz	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
frankizzsms.com ↗	66 match 1 shared topics	FrankizzSMS - Global verification made easy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3sters.com ↗	66 match 1 shared topics	3sters - Professional Verification Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
minordecliner.com ↗	66 match 1 shared topics	ID Scanners for Age Verification & Access \| Minor Decliner	en	information-and-network-security Shopify	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.