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DeleteFreely — Find Out What They Know. Tell Them to Stop. — 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
easydsar.org ↗	66 match 1 shared topics	easySAR — Free UK Subject Access Request Tool \| Send SARs in Minutes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
easysar.org ↗	66 match 1 shared topics	easySAR — Free UK Subject Access Request Tool \| Send SARs in Minutes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
estoppl.ai ↗	66 match 1 shared topics	estoppl — Secure your AI agents. Prove what they did.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurities.uk ↗	65 match 1 shared topics	CyberSecuritiesUK - 128 Businesses Across The UK Trust Us With Their Cyber Protection, Find Out Why	United Kingdom en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
dataandmore.com ↗	64 match 1 shared topics	Find and delete GDPR data - Stop leaking data to AI \| Data & More	Denmark~ en	information-and-network-security	robots llmsaihumans	emailphone	none
relinqd.com ↗	64 match 1 shared topics	Relinqd — Live freely. Leave clearly.	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
defenseware.org ↗	64 match 1 shared topics	Defenseware — Stop threats before they compile.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
datafencepros.com ↗	64 match 1 shared topics	DataFence — Stop Data Breaches Before They Happen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datafence.ai ↗	64 match 1 shared topics	DataFence — Stop Data Breaches Before They Happen	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datadeletionorchestration.com ↗	64 match 1 shared topics	Espresso Data Privacy – Data Discovery, Data Deletion and GDPR Modules	Switzerland~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
httpvshttps.com ↗	64 match 1 shared topics	HTTP vs HTTPS — Test them both yourself	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyrusx.io ↗	64 match 1 shared topics	CyrusX — Free Network Engineering & Cybersecurity Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
dontpoke.me ↗	64 match 1 shared topics	dontpoke.me — Professional OSINT Tools for Security Researchers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
6clubi.org ↗	64 match 1 shared topics	6 Club Secure Login Gateway — Access & Recovery	en	information-and-network-security	robotsllmsaihumans	emailphone	none
erasura.org ↗	64 match 1 shared topics	Erasura — Remove your data from data brokers.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datashieldnow.com ↗	64 match 1 shared topics	DataShield — 200+ Data Broker Opt-Out & Digital Footprint Scanner	en	information-and-network-security	robots llmsaihumans	emailphone	none
datacritique.com ↗	64 match 1 shared topics	Data Critiques - An Introduction to Scope and Mission \| DATA CRITIQUES	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpampel.com ↗	63 match 1 shared topics	MCPAmpel — Is this MCP server safe?	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.