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Sites similar to tp-authenticon.com

Tp Authenticon alternatives & similar sites

GenuScan | Product | True Pedigree — 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
truepuff.io ↗	68 match 1 shared topics	TruePuff - Cannabis Product Authentication Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
tribasein.com ↗	67 match 1 shared topics	Innovadoor Products	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5thnode.com ↗	67 match 1 shared topics	5thnode \| Product & Trust Infrastructure for Web3 and AI Systems	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcclansy.com ↗	66 match 1 shared topics	Home \| About \| Services \| Products \| Capabilities \| Trust Center \| Research \| Careers \| Contact \| Privacy Policy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
czarine-products.com ↗	66 match 1 shared topics	Czarine Products	United States~ en	information-and-network-security	robotsllmsaihumans	email phone	none
alternateproduct.com ↗	66 match 1 shared topics	Home \| Alternate Product	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
princeowusuattah.com ↗	66 match 1 shared topics	Prince - Product Leader & Privacy Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
prods3c.com ↗	65 match 1 shared topics	Home \| Web3 Product Security	en	information-and-network-security	robots llmsaihumans	emailphone	none
cxsocialmadrid.org ↗	65 match 1 shared topics	CXSocial by Telesign \| Collaborating Madrid area CX & Product leaders	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
sigreturn.com ↗	65 match 1 shared topics	Sigreturn Labs: Cybersecurity services, research & products	en	information-and-network-security	robotsllmsaihumans	emailphone	none
truscodes.com ↗	65 match 1 shared topics	TrusCodes \| Compliance-Ready Product Authentication System	en	information-and-network-security	robots llmsaihumans	emailphone	none
icssociety.com ↗	65 match 1 shared topics	Introduction \| ICSS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myguardion.com ↗	65 match 1 shared topics	Guardion — Security Products, Services & Academy	en	information-and-network-security	robotsllmsaihumans	emailphone	none
productchase.app ↗	65 match 1 shared topics	Product Chase — Stop Amazon Hijackers Before They Cost You	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cbrwolf.com ↗	65 match 1 shared topics	CbrWolf \| Productised Website Security Reviews and Hardening	en	information-and-network-security	robotsllmsaihumans	emailphone	none
custominstallermanager.com ↗	65 match 1 shared topics	Devolutions \| Productivity & security solutions for IT professionals	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
custominstallermanager.net ↗	65 match 1 shared topics	Devolutions \| Productivity & security solutions for IT professionals	Canada~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybstyx.com ↗	65 match 1 shared topics	Cybstyx \| Cybersecurity Product Ecosystem and Intelligence Platform	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.