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StopShield | Legal Tech App — 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 Software And Applications →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
1clickshield.com ↗	64 match 2 shared topics	Mobile App Shielding SaaS	en	software-and-applications	robotsllmsaihumans	emailphone	none
anoshield.app ↗	64 match 2 shared topics	AnoShield - Privacy-First Mobile Toolkit	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
balikesirsenin.app ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
batmansenin.app ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anonym-pay.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mbankingone.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4care.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4all.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4allapps.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4you.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4car.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4car.io ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4germany.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneapp4cars.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneid4all.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneidforall.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneid4you.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oneidforyou.com ↗	64 match 2 shared topics	KOBIL AppShield: Mobile App Security Scanner \| Android & iOS	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.