similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to michaelcharlesdavis.com

Michaelcharlesdavis alternatives & similar sites

Michael Charles Davis | Speaker · Researcher · Author — 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
0xweiss.com ↗	67 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xahmadyousuf.com ↗	67 match 1 shared topics	Ahmad Yousuf - Security Researcher · Post-Quantum Cryptographer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pal0x.dev ↗	66 match 1 shared topics	Judel Palaca \| pal0x \| Web Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcmurray.tech ↗	66 match 1 shared topics	Michael McMurray	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	66 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xfern.com ↗	66 match 1 shared topics	0xFern \| Independent Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xteles.com ↗	66 match 1 shared topics	Teles’s Blog \| Security Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
contimichael.com ↗	66 match 1 shared topics	Michael Conti, PhD · URI Computer Science	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
3rag.com ↗	66 match 1 shared topics	CHIRAG_ARTANI // SECURITY_RESEARCHER	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
disinformationnews.org ↗	66 match 1 shared topics	Top Researchers in Disinformation & Threat Disruption	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	66 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hhouseholder.com ↗	66 match 1 shared topics	Hannah H. \| Space Cyber Threat Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hiddeninvestigations.net ↗	66 match 1 shared topics	Hidden Investigations \| Cybersecurity Research, Vulnerability Disclosure & CTF Community	en	information-and-network-security	robotsllmsaihumans	emailphone	none
voidvuln.com ↗	66 match 1 shared topics	VoidVuln \| Security Research & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
krishgera.com ↗	66 match 1 shared topics	Krish Gera - Security Research Blogs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
michaelcoates.co ↗	65 match 1 shared topics	Michael Coates \| CISO & CyberSecurity VC	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	65 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cong-wu.com ↗	65 match 1 shared topics	Cong Wu, Post-doctoral Researcher at HKU	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.