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Dmarc alternatives & similar sites

Validate a domain's SPF, DMARC, DKIM, MTA-STS, BIMI, MX Records and security.txt all in one page | URIports — 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
dmarccreator.com ↗	66 match 1 shared topics	DMARC Creator — Generate DMARC Records and Policies	en	information-and-network-security	robots llmsaihumans	emailphone	none
watchscope.io ↗	66 match 1 shared topics	WatchScope — Automated Security Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainshield.io ↗	66 match 1 shared topics	DomainShield - Enterprise Domain Security & Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainx.tech ↗	65 match 1 shared topics	DomainX — Dominate the Unknown \| AI-Driven Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
domaincheckup.net ↗	65 match 1 shared topics	Check SPF, DMARC & more for free \| Domain Checkup	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainscores.net ↗	65 match 1 shared topics	Domain & Email Security Check — Free Trust Score \| DomainScores	en	information-and-network-security	robots llmsaihumans	emailphone	none
dns-stats.com ↗	65 match 1 shared topics	dns-stats.com — Email Security Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
auditr.xyz ↗	65 match 1 shared topics	Auditr: Web3 Security Audits, Sentinel + Monitoring	en	information-and-network-security	robots llmsaihumans	emailphone	none
dmarcrecordchecker.com ↗	65 match 1 shared topics	DMARC Record Checker — Check and Monitor DMARC Policies	en	information-and-network-security	robots llmsaihumans	emailphone	none
ase.live ↗	64 match 1 shared topics	The All-Seeing-Eye — Domain Guardian	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainalarm.net ↗	64 match 1 shared topics	Domain Alarm	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domaintools.net ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainsuggest.org ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainsuggest.net ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
domainnamespinner.net ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
freedesktoptools.com ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zimaxxtech.com ↗	64 match 1 shared topics	ZimaxxTech: Leading Security Systems & Monitoring Services.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nameintel.com ↗	64 match 1 shared topics	Threat Intelligence & Domain Security Platform \| DomainTools	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.