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ProtectMinds.com | Train Employees to spot phishing emails — 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
1f.io ↗	68 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prventi.com ↗	67 match 1 shared topics	Prventi: Phishing Simulation & Training for Companies - Secure Your Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0penai-gpt.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
six-grovp.com ↗	66 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alluresecurity.com ↗	66 match 1 shared topics	Brand Protection & Phishing Takedown Services - Allure Security	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
protectthatdomain.com ↗	65 match 1 shared topics	Email & Domain Protection – DMARC Setup & Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protectingthehuman.com ↗	65 match 1 shared topics	Protect the Human from cyber attacks – Your employees are the key to cyber security.	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
ccl-protect.com ↗	65 match 1 shared topics	CCL Protect	en	information-and-network-security	robotsllmsaihumans	email phone	none
ctrlvish.com ↗	64 match 1 shared topics	Ctrl+Vish – Vishing Training	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ctrlvish.org ↗	64 match 1 shared topics	Ctrl+Vish – Vishing Training	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dotechosecure.com ↗	64 match 1 shared topics	Echo Secure - Penetration Testing and Phishing Simulations	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
hssgroupinc.com ↗	64 match 1 shared topics	security and training \| protection \| secure \| cybersecurity	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
365bkup.com ↗	64 match 1 shared topics	databkup - Protecting your Company Data - Cybersecurity, Backups and Training	en	information-and-network-security	robotsllmsaihumans	emailphone	none
eldershield360.com ↗	64 match 1 shared topics	ElderShield Pro — AI Scam Protection for Seniors	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sitealertai.com ↗	64 match 1 shared topics	Free Website Security Scanner, Email, Phishing & IP Geolocation Tools \| SiteAlertAI	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
protectmesh.com ↗	64 match 1 shared topics	protectmesh.com – we digitize security	United States~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2sfs.com ↗	64 match 1 shared topics	2sfs.com \| About	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.