Eoss Alternatives & Sites Like eoss.dk | Piperic Business Intelligence

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
simbasecure.com ↗	31 match 1 shared topics	David Simba Jørgensen \| Start	da	information-and-network-security	robotsllmsaihumans	email phone	none
id-truster.com ↗	31 match 1 shared topics	Verify calls, emails & messages - ID-Truster	da	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
minip.info ↗	30 match 1 shared topics	minip.info - Hva er min IP-adresse? - Din IP er 2a01:4f8:c015:5dc3::1	da	computer-networking	robotsllmsaihumans	emailphone	none
cyberaware.nu ↗	30 match 1 shared topics	cyberaware.nu \| Uafhængig rådgivning i cybersikkerhed og governance	da	information-and-network-security	robotsllmsaihumans	emailphone	none
magnusdemant.ch ↗	30 match 1 shared topics	Magnus Demant - Cyber Security Specialist	Switzerland da	information-and-network-security	robotsllmsaihumans	emailphone	none
brainssl.com ↗	30 match 1 shared topics	SSL/TLS Certifikatstyring \| sslbrain	Denmark~ da	information-and-network-security	robotsllmsaihumans	email phone	none
leaveamarkgroup.com ↗	30 match 1 shared topics	Specialister i cybersikkerhed og compliance \| Leave a Mark Group	da	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
privaci.io ↗	30 match 1 shared topics	Cookie compliance der faktisk virker \| Privaci	da	information-and-network-security	robots llmsaihumans	emailphone	none
8stats.com ↗	28 match 1 shared topics	8stats - Login	da	information-and-network-security	robotsllmsaihumans	emailphone	none
trendserv.com ↗	20 match 1 shared topics	Startside - Novaram	da	it-and-internet-support WordPress WooCommerce	robotsllmsaihumans	emailphone	none
alphahumanresilience.com ↗	20 match 1 shared topics	Kurser i at opdage og bekæmpe spionage	da	information-and-network-security Squarespace Magento	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.

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How the match score works