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Homeppl alternatives & similar sites

Homeppl: Customer Risk Assessment & Fraud Prevention — 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
mediaecologymap.org ↗	71 match 1 shared topics	5D Risk Assessment Model	en	information-and-network-security	robotsllmsaihumans	emailphone	none
123verifi.com ↗	69 match 1 shared topics	123Verifi.com — Fraud Prevention	en	information-and-network-security	robotsllmsaihumans	emailphone	none
24metrics.com ↗	68 match 1 shared topics	Realtime Click and Affiliate Fraud Prevention	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
corlexis.com ↗	67 match 1 shared topics	Corlexis: IT Security Risk Assessment Services for Businesses \| CorLexis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fiberwolfnet.com ↗	67 match 1 shared topics	Cybersecurity - MDR - Risk Assessments - United States	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
blocksec.tech ↗	67 match 1 shared topics	Web3 Security Audits, Monitoring, and Risk Prevention - BlockSec	en	information-and-network-security	robots llmsaihumans	emailphone	none
365teamflow.com ↗	67 match 1 shared topics	CND ISA Assessment Education Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sprinkler.cloud ↗	67 match 1 shared topics	TPC · Threat Prevention Center	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
biocatch.com ↗	66 match 1 shared topics	BioCatch - Behavioral Intelligence to Prevent Fraud & Build Trust	en	information-and-network-security HubSpot	robotsllmsaihumans	email phone	none
0secure.com ↗	66 match 1 shared topics	ZeroHack \| cybercrime prevention & response	en	information-and-network-security Wix	robotsllmsaihumans	emailphone	none
sqlinjection.net ↗	65 match 1 shared topics	SQL Injection - Understand and Prevent SQL Injection Attacks	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
365assessment.com ↗	65 match 1 shared topics	365 Security Assessment \| SSPM for Microsoft 365	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
blackwoodglobalconsultinghub.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackwoodconsultinghub.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackwoodconsultingsystem.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackwoodfirm.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackwoodglobalconsultingco.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackwoodglobalconsultinggroup.com ↗	65 match 1 shared topics	Blackwood Enterprises \| Cyber Risk & Client Data Protection	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.