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That Privacy Guy! — Expert Privacy & Data Protection Consultancy — 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
dataprotectionaudits.com ↗	71 match 2 shared topics	GDPR & AI Governance \| Data Protection Audits	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dataprotectionaudits.co.uk ↗	71 match 2 shared topics	GDPR & AI Governance \| Data Protection Audits	United Kingdom en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
staisis.io ↗	69 match 2 shared topics	Staisis — Strategic AI, Privacy & Security Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
darklake.com ↗	68 match 2 shared topics	DarkLake \| UAE AI, Cybersecurity & Data Consultancy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
steaseconsulting.com ↗	68 match 2 shared topics	Stease Consultancy Group	en	information-and-network-security	robotsllmsaihumans	emailphone	none
resiliam.com ↗	68 match 2 shared topics	Resiliam \| Information Security, Privacy & AI Governance	en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
epcnetwork.co.uk ↗	68 match 2 shared topics	EPC Network \| Cybersecurity & AI Consultancy	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
faasera.ai ↗	67 match 2 shared topics	Faasera.ai \| Real-Time AI Data Privacy & Compliance Automation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datagrail.io ↗	67 match 2 shared topics	DataGrail : The Agentic Data Privacy Platform	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
1privacy.ai ↗	67 match 2 shared topics	1Privacy.ai — AI-first privacy. One tool for everything you need.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
katrinagallagher.com ↗	67 match 2 shared topics	Katrina Gallagher \| Privacy & AI Governance Professional	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
oncaconsulting.com ↗	67 match 2 shared topics	Onca Consulting - Secure AI & Data Analytics Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kavael.com ↗	66 match 2 shared topics	Kavael — Brand Protection	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
stacksolveruk.com ↗	66 match 2 shared topics	Stacksolver UK \| Cyber Security, AI Engineering & Compliance Consultancy	en	information-and-network-security	robots llmsaihumans	emailphone	none
keepclariti.com ↗	66 match 2 shared topics	Clariti — Content Protection for Creators	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
instantimpactprotection.com ↗	66 match 2 shared topics	Instant Impact Protection \| Elite Security & AI Governance	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
datasafeguard.ai ↗	66 match 2 shared topics	Data Safeguard \| AI-Powered Data Privacy, DSAR Automation & Compliance Platform	United States~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
datasafeguard.net ↗	66 match 2 shared topics	Data Safeguard \| AI-Powered Data Privacy, DSAR Automation & Compliance Platform	United States~ 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.