similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔎Similar Site SearchFind websites like any domain 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to fraudtrack.net

Fraudtrack alternatives & similar sites

FraudTrack — 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
fraudmonitor.dev ↗	66 match 1 shared topics	Fraud Monitor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fraudprotect.org ↗	66 match 1 shared topics	Fraud Protect	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
fraudprotector.net ↗	66 match 1 shared topics	Fraud Protector	en	information-and-network-security	robotsllmsaihumans	email phone	none
fraudprotector.ai ↗	66 match 1 shared topics	Fraud Protector	en	information-and-network-security	robotsllmsaihumans	email phone	none
fraudhunt.net ↗	65 match 1 shared topics	Home - FraudHunt	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
fraudshieldllc.com ↗	65 match 1 shared topics	Fraud Shield LLC	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
fraudscammer.com ↗	65 match 1 shared topics	Fraud Scammer - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
freedominfo.net ↗	65 match 1 shared topics	Digital Security Act Tracker	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
wallet-detective.xyz ↗	64 match 1 shared topics	BA6 Base Security Tracker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
walletdetective.xyz ↗	64 match 1 shared topics	BA6 Base Security Tracker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xtracer.xyz ↗	64 match 1 shared topics	0xtracer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fraudintelligencelimited.com ↗	64 match 1 shared topics	Fraud Intelligence Limited	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vulneratrack.com ↗	64 match 1 shared topics	VulneraTrack · Sign in	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abstractionmaps.com ↗	64 match 1 shared topics	:: Abstraction Maps	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dvprotect.net ↗	63 match 1 shared topics	Advanced Anti-Fraud System	en	information-and-network-security	robotsllmsaihumans	emailphone	none
activatorscrack.com ↗	63 match 1 shared topics	ActivatorsCrack	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
cryptosafe.org ↗	63 match 1 shared topics	Anti-fraud Platform - Binance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ctxsimpleit.com ↗	63 match 1 shared topics	Simple IT — Fraud Forensics Services	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.