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SafeRing — Protect the People You Love — 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
glance-co.com ↗	74 match 1 shared topics	Email Security for the People You Love	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 7
myprotection.org ↗	69 match 1 shared topics	MyProtection.AI - Powerful Scam Protection for Your Loved Ones	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
myprotection.ai ↗	69 match 1 shared topics	MyProtection.AI - Powerful Scam Protection for Your Loved Ones	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
decoypot.com ↗	68 match 1 shared topics	Decoypot — Trap the Bots. Protect What's Yours.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
frontlineprivacy.com ↗	67 match 1 shared topics	Frontline Privacy — Protecting those who protect us	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gfcru.com ↗	67 match 1 shared topics	GFCRU - The Protecter of your digital assets	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
nolink.me ↗	67 match 1 shared topics	nolink.me — Protect Your Real Email with Smart Pseudo Addresses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kemitsecurity.com ↗	67 match 1 shared topics	KemitSecurity — Protecting What Matters Most	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mailprotector.engineering ↗	67 match 1 shared topics	HELO, world: the Mailprotector engineering blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
emailprotector.ai ↗	67 match 1 shared topics	Email Protector	en	information-and-network-security	robotsllmsaihumans	emailphone	none
strat24.com ↗	66 match 1 shared topics	Strat24 \| People. Data. Reputation. Protected.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fakeservice.org ↗	66 match 1 shared topics	FakeService.org – Identify and Report Scam Numbers \| Protect Yourself from Fraud	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
keenly.com ↗	66 match 1 shared topics	Identity theft and fraud protection \| Keenly	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nomorobo.org ↗	66 match 1 shared topics	Nomorobo: The #1 Spam Call & Text Blocking App	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nomorobo.info ↗	66 match 1 shared topics	Nomorobo: The #1 Spam Call & Text Blocking App	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
nomorobo.biz ↗	66 match 1 shared topics	Nomorobo: The #1 Spam Call & Text Blocking App	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
declegacy.com ↗	66 match 1 shared topics	DecLegacy.com - protect your most valuable secrets	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
myheredia.com ↗	66 match 1 shared topics	MyHeredia \| Digital Legacy — Protect your accounts and digital assets	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.