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ConstantQuery Cybersecurity for Small Business — 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
cybrblock.com ↗	78 match 1 shared topics	CybrBlock - Cybersecurity for Small Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nerdsec.io ↗	78 match 1 shared topics	Cybersecurity for Small Business \| NerdSec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rennissecurity.com ↗	77 match 1 shared topics	Rennis Security \| Cybersecurity for Small Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3wolf.io ↗	76 match 1 shared topics	Cybersecurity for Small Business \| 3Wolf Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3wolf.com ↗	76 match 1 shared topics	Cybersecurity for Small Business \| 3Wolf Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityforbusiness.net ↗	76 match 1 shared topics	Cybersecurity for Business	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ghu.com ↗	75 match 1 shared topics	GHU — Guard Harden Undo \| Cybersecurity for Small Business	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyberpro.consulting ↗	74 match 1 shared topics	Cybersecurity Consulting for Small Businesses & Agencies \| CyberPro	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
keepmybusinesssecure.com ↗	72 match 1 shared topics	How to Keep Your Business Secure: Cybersecurity Risk Check for Small Businesses	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
msquarellc.net ↗	72 match 1 shared topics	M Square LLC \| Cybersecurity for SMBs	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
freesmbsat.com ↗	72 match 1 shared topics	Free Small Business Security Training	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
kennedycyber.com ↗	72 match 1 shared topics	Kennedy Cyber — Small Business Cybersecurity Audits · Henry County, GA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defenai.com ↗	71 match 1 shared topics	AI Cybersecurity Solutions for Modern Businesses	en	information-and-network-security	robotsllmsaihumans	emailphone	none
giaspace.com ↗	71 match 1 shared topics	GiaSpace: IT Support & Cybersecurity for Florida Businesses	en	information-and-network-security WordPress	robots llmsaihumans	email phone	partial · 15
dcs-mi.com ↗	71 match 1 shared topics	Strengthening Small Business Security Posture	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	email phone	none
mspmassachusetts.com ↗	70 match 1 shared topics	Global IT, Cybersecurity, and Compliance for Business	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
cybersecurityfoundations.com ↗	70 match 1 shared topics	Cybersecurity Foundations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityfoundations.net ↗	70 match 1 shared topics	Cybersecurity Foundations	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.