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VerifyScams | AI-Powered Scam Detection — 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
zorasafe.ai ↗	71 match 2 shared topics	ZoraSafe - AI-Powered Scam Shield & Cybersecurity Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
decloak.ai ↗	68 match 2 shared topics	Decloak.ai – AI-Powered Digital Footprint Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
whatisreal.info ↗	68 match 2 shared topics	WhatIsReal — Free Scam Detection for Texts & Emails	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepparentssafe.com ↗	67 match 2 shared topics	KeepParentsSafe - AI Powered Scam Checker \| Protect Seniors from Text Scams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myvigilo.com ↗	67 match 2 shared topics	Vigilo — Smart scam protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mysafehorizon.com ↗	66 match 2 shared topics	Scam Prevention Specialists	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
getsafer.io ↗	65 match 2 shared topics	CSAM Detection from Experts in Child Safety Technology \| Safer by Thorn	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
stopthescam.com ↗	65 match 2 shared topics	STOPTHESCAM - Protecting People from Scams Through Technology	en	information-and-network-security	robotsllmsaihumans	emailphone	none
resonis.com ↗	65 match 2 shared topics	Resonis Shield — Phone Scam Protection for Your Parents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mysentinelai.com ↗	65 match 2 shared topics	SentinelSense — Weekly Scam Protection for Seniors 65+	en	information-and-network-security	robotsllmsaihumans	emailphone	none
malwarebytes.cc ↗	65 match 2 shared topics	All-in-One Protection: Antivirus, VPN & Scam Guard \| Best Antivirus	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
malwarebytes.mobi ↗	65 match 2 shared topics	All-in-One Protection: Antivirus, VPN & Scam Guard \| Best Antivirus	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
malwarebytes.info ↗	65 match 2 shared topics	All-in-One Protection: Antivirus, VPN & Scam Guard \| Best Antivirus	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spywc.com ↗	65 match 2 shared topics	Unlocking the Power of Spyware Detection: A Comprehensive Guide	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zorasafe.com ↗	65 match 2 shared topics	ZoraSafe - Scam Protection App for Families, Seniors, and Communities	en	information-and-network-security	robots llmsaihumans	emailphone	none
nanashield.com ↗	65 match 2 shared topics	NanaShield — Protecting Seniors from Online Scams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
malwarebytes.live ↗	64 match 2 shared topics	Malwarebytes Antivirus \| Advanced Cybersecurity Protection	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8
cryptolphin.com ↗	64 match 2 shared topics	Cryptolphin - Crypto Scam Protection For Browser, Mobile, And Telegram	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8

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.