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Paul's inane ramblings – Chasing unicorns down a tunnell… — 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
meekins.org ↗	62 match 1 shared topics	Chaotic Security Blog – Chaotic Security Blog	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cornpopsecurity.com ↗	62 match 1 shared topics	Corn Pop Security – Corn Pop was a bad dude, and he ran a bunch of bad boys.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
theunicornsecurity.com ↗	62 match 1 shared topics	Expert Security Operations Services \| Unicorn Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
improbus.com ↗	62 match 1 shared topics	Improbus – CyberSecurity Specialists	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
corneatec.com ↗	62 match 1 shared topics	Cornea Technologies L.L.C – Corneatec	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
onshosting.com ↗	62 match 1 shared topics	ONSHosting – Cybersecurity Simplified	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
thiinkvp.com ↗	62 match 1 shared topics	thiinkVP – Turning Predators into Prey	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptool.org ↗	62 match 1 shared topics	Homepage – CrypTool	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ons-services.com ↗	62 match 1 shared topics	O & S Services – Engineering Cyber Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
thirdisolutions.com ↗	62 match 1 shared topics	Thirdi Solutions – Cyber Security Company	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
alineds.com ↗	62 match 1 shared topics	ALINEDS \| Solutions – Securing Your Digital Future	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
copyrightsamurai.com ↗	62 match 1 shared topics	Copyright Samurai – Automated DMCA Takedown Service	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
fellsec.com ↗	62 match 1 shared topics	Bradley Fell – Contact	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
fenasecurity.com ↗	62 match 1 shared topics	FENA Security Services – Committed to Your Mission	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
focalpoint-sprl.be ↗	62 match 1 shared topics	Focal Point – Cyber Defence	Belgium en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
corinproinca.com ↗	62 match 1 shared topics	Corinproinca – Corinproinca	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ong-isac.com ↗	62 match 1 shared topics	ONG-ISAC – Fueling the Exchange of Cyber Intelligence	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ongisac.com ↗	62 match 1 shared topics	ONG-ISAC – Fueling the Exchange of Cyber Intelligence	en	information-and-network-security WordPress	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.