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Nationwide Computer Forensics and Cell Phone Investigations — 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
drphil.com ↗	100 match 140 shared linkers	Official Website \| Dr. Phil Primetime	en	mental-health HubSpot CMS	robotsllmsaihumans	emailphone	none
isc2.org ↗	96 match 140 shared linkers · same topic	Cybersecurity Certifications and Continuing Education \| ISC2	en	information-and-network-security Sitecore	robotsllmsaihumans	emailphone	none
acfe.com ↗	89 match 140 shared linkers	Association of Certified Fraud Examiners	en	business-accounting-and-finance	robotsllmsaihumans	emailphone	none
opentext.com ↗	24 match 11 shared linkers · same topic	OpenText \| Secure Information Management for AI	Canada~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ca.gov ↗	10 match 140 shared linkers	California State Portal \| CA.gov	en	government-support-and-welfare	robotsllmsaihumans	emailphone	none
cellebrite.com ↗	65 match shared topic	Digital Forensics & Intelligence Platform \| Cellebrite	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
prisoncellphones.com ↗	65 match shared topic	meshDETECT - Secure Prison Cell Phone Solutions - meshDETECT, Secure Prison Cell Phone Solutions ™	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
computerforensicsllc.com ↗	65 match shared topic	Computer Forensics LLC – We are highly experienced computer forensic experts.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ieee-security.org ↗	60 match shared topic	IEEE TCSP - IEEE Computer Security's Technical Community on Security and Privacy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
i-evolve.com ↗	60 match shared topic	Business VOIP Phones Buffalo NY \| Data Backup \| Network Security	en	information-and-network-security Concrete5	robotsllmsaihumans	emailphone	none
aiphone.com ↗	60 match shared topic	World Leader in Intercom & Access Control Solutions \| Aiphone	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptosec.com ↗	60 match shared topic	Cryptosec - Crypto Cybersecurity and Investigations	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
acsac.org ↗	60 match shared topic	IEEE Annual Computer Security Applications Conference (ACSAC)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cadosecurity.com ↗	60 match shared topic	Solve Cloud Forensics at Scale	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
magnetforensics.com ↗	60 match shared topic	Magnet Forensics \| Gain an Investigative Edge	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
anchorbrowser.io ↗	60 match shared topic	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
circl.lu ↗	60 match shared topic	CIRCL » CIRCL -- Computer Incident Response Center Luxembourg -- CSIRT -- CERT	Luxembourg en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybercentaurs.com ↗	60 match shared topic	Cyber Centaurs \| Digital Forensics & Incident Response Firm	en	information-and-network-security WordPress WooCommerce	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.