similar sites

Browse

AI Report Tools

Sites similar to helloalpha.ai

Helloalpha alternatives & similar sites

Is This a Scam? Free AI Scam Detector & Checker Tool — 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
cryptostronghold.com ↗	70 match 2 shared topics	CryptoStronghold — Free Crypto Scam Checker & AI Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
jortty.com ↗	69 match 2 shared topics	Jortty \| AI Scam Detection & 24/7 Tech Support	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
batlr.ai ↗	68 match 2 shared topics	BATLR.AI — AI Scam Detection for P2P Platforms	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
awarexone.com ↗	65 match 2 shared topics	AwareXone — Your AI Agent Against Scams & Fraud	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepguard.org ↗	64 match 2 shared topics	FakeGuard — AI Deepfake Detection for Images, Video, Audio & Text	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
casescan.com ↗	64 match 2 shared topics	CSAM Detection for Platforms & Law Enforcement \| CaseScan	en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
syncethicai.com ↗	64 match 2 shared topics	SyncEthic AI \| Enterprise AI Governance & Connector Proxy	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deceptioncheck.net ↗	64 match 2 shared topics	Deception Check — Catching threats your other tools miss	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deceptioncheck.tech ↗	64 match 2 shared topics	Deception Check — Catching threats your other tools miss	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deceptioncheck.ai ↗	64 match 2 shared topics	Deception Check — Catching threats your other tools miss	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
a2ashield.cloud ↗	64 match 2 shared topics	A2A Shield — AI Anomaly & Threat Detection API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
usevibechecker.com ↗	64 match 2 shared topics	VibeChecker - Security vibe check for AI generated code	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deeptrack.io ↗	64 match 2 shared topics	Deeptrack \| Enterprise Deepfake Detection & AI Content Verification	KE~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
harrierone.com ↗	64 match 2 shared topics	Harrier IQ - AI Human Risk Detection Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
harrieriq.com ↗	64 match 2 shared topics	Harrier IQ - AI Human Risk Detection Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
luelma.com ↗	64 match 2 shared topics	Harrier IQ - AI Human Risk Detection Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
hashmon.com ↗	64 match 2 shared topics	Hashmon \| AI-Powered Background Checks & Risk Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
usecybersiara.com ↗	64 match 2 shared topics	AI Bot Protection & CAPTCHA Alternative \| CyberSiARA	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.