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Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data — 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
buzcasst.site ↗	100 match 2 shared topics	Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
buzzcastsex.info ↗	100 match 2 shared topics	Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
buzzcastflirt.info ↗	100 match 2 shared topics	Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
buzzcastcam.info ↗	100 match 2 shared topics	Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
buzzcastseex.info ↗	100 match 2 shared topics	Consent.link - The Right Way to Collect Consent for IP, Location, and Device Data	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcppedia.org ↗	65 match 2 shared topics	MCPpedia — Find the Right MCP Server	en	information-and-network-security	robots llmsaihumans	emailphone	none
decrypt.fail ↗	64 match 2 shared topics	decrypt.fail \| seb’s digital garden — infosec, decentralization, and tinkering.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
mena.me ↗	64 match 2 shared topics	MENA: Enterprise Infrastructure for Execution, Detection, and Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
labfreq.com ↗	64 match 2 shared topics	A Digital Rights Publication - Labfreq	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bitcoincard.sale ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinbsd.info ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoincard.deals ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoincard.gift ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinusb.gift ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinuptime.page ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinnounsproject.info ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinmultisig.guide ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
bitcoinhistory.guide ↗	64 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	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.