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Peter Lustig — 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 Computer Networking →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
guivelynoel.com ↗	65 match 2 shared topics	Guively Noel \| Network Administrator & Cybersecurity Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	none
elcoresolutions.com ↗	64 match 2 shared topics	ELcoresolutions - Professional Networking & Security Infrastructure \| NYC & Long Island	en	information-and-network-security	robotsllmsaihumans	email phone	none
midstatesys.com ↗	64 match 2 shared topics	Midstate Systems \| Professional Infrastructure	en	computer-networking	robotsllmsaihumans	emailphone	none
e-bis.co.uk ↗	64 match 2 shared topics	Converged IP Solutions & IP Security from E-Bis	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cgee.net ↗	64 match 2 shared topics	Cody Gee - Personal Site	en	information-and-network-security	robotsllmsaihumans	emailphone	none
versa-networks.com ↗	64 match 2 shared topics	Secure Access Service Edge (SASE) vendor \| Versa Networks	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
nxedge.org ↗	64 match 2 shared topics	NX Edge Network LLC \| Secure Network Solutions	United States~ en	computer-networking	robotsllmsaihumans	emailphone	partial · 8
elevate360systems.com ↗	64 match 2 shared topics	Elevate360 Systems	en	computer-networking	robotsllmsaihumans	email phone	none
zhionnetworksolutions.com ↗	64 match 2 shared topics	Zhion Network Solutions - Expert IT & Cybersecurity	en	computer-networking	robotsllmsaihumans	emailphone	none
a10-emea.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10affinitypartnersummit.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10defend.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10emea.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10networks.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
a10networks.net ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10networks.org ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10networksemea.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
a10networksusa.com ↗	63 match 2 shared topics	A10 Networks: Enterprise Security & Infrastructure Solutions	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.