similar sites

Browse

Pricing AI Report

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 →

Browse free →

Sites similar to dunph.com

Dunph alternatives & similar sites

Hi! I'm Paul — 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 Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
howdoihelp.ai ↗	62 match 2 shared topics	How Do I Help? \| AI Safety	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
orkesty.ai ↗	61 match 2 shared topics	Orkesty - Take back control of your AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
saifgaurd.com ↗	61 match 2 shared topics	SAIFGUARD – Helping businesses use AI safely and responsibly	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
amitwebsite.online ↗	60 match 2 shared topics	Amit Maurya — Cloud & AI Security Architect	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
amplifiersecurity.click ↗	60 match 2 shared topics	Amplifier Security \| Workforce Security Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	partial · 8
anikettegginamath.space ↗	60 match 2 shared topics	Aniket Tegginamath — Ethical hacker who ships products.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
annchang.blog ↗	60 match 2 shared topics	CYBERSECURITY AI & RISK MANAGEMENT – Field Insights and Real-world Experiences	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ano.gmbh ↗	60 match 2 shared topics	anonym.community — GDPR, EU AI Act & PII Anonymization Research Hub	en	artificial-intelligence	robots llms aihumans	emailphone	none
anonym.plus ↗	60 match 2 shared topics	anonym.plus Desktop — Offline PII Anonymization	en	information-and-network-security	robots llms aihumans	emailphone	none
anonymize.live ↗	60 match 2 shared topics	anonymize.live - AI Chat Protection Made Simple	en	information-and-network-security	robots llms aihumans	emailphone	full · 13
anonym.company ↗	60 match 2 shared topics	Enterprise DLP for AI Tools — Prevent Data Leaks	en	information-and-network-security	robots llms aihumans	emailphone	none
anonym.community ↗	60 match 2 shared topics	anonym.community — GDPR, EU AI Act & PII Anonymization Research Hub	en	artificial-intelligence	robots llms aihumans	emailphone	none
anytool.inc ↗	60 match 2 shared topics	Anytool - Security at the Speed of Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
apexaudit.sbs ↗	60 match 2 shared topics	APEX AUDIT \| The Gold Standard for AI Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
awad.lol ↗	60 match 2 shared topics	Awad \| Some people meditate. I automate.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
azimuth.foundation ↗	60 match 2 shared topics	αzimuth Labs \| AI Biosecurity Research	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
axons.one ↗	60 match 2 shared topics	Axons One - Connecting Stars	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
azer.one ↗	60 match 2 shared topics	Home \| azer.one	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.