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AI Visibility Scorecard
COLDCARD
coldcard.com · Technology
Somewhat visible. AI bots can read COLDCARD, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 1 times
Claude
#46,937 of 2,810,206 in Technology for AI visibility
6.8
/10
AEO Score
About COLDCARD
from our crawl and measurement
COLDCARD is a Toronto, ON business whose own site puts it this way: "COLDCARD is a Bitcoin-only hardware wallet by Coinkite with air-gapped signing options, dual secure elements, and verifiable open-source firmware." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.8 out of 10, readable in places and missing in others.
On the page itself the strengths are clear: structured data describing the business, a clear heading structure, a clearly stated business identity, crawler access and the files AI engines look for and sitemaps and entity links AI can follow. What holds it back is credibility markers like credentials or reviews.
Away from its own site, other sites link to it and it comes up on Reddit. There is some, but not much, sign that the domain is only lightly established and there is little discussion of it. Beyond that, AI engines do not yet recognise it as a distinct business and there is no press coverage to draw on.
AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).
The 6 signals AI reads
Higher is better · 0-10
Structured Data
10
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
10
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
4
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
10
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Trust
3
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
1
Forum and community discussion.
7
Reddit mentions and discussion.
What this score means
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.8/10, COLDCARD has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
Why does COLDCARD use dual secure elements?
COLDCARD stores your Bitcoin seed phrase in two secure element chips from different manufacturers. This dual-vendor approach means a vulnerability in one chip cannot compromise your funds.
Can you verify COLDCARD's firmware yourself?
Yes. COLDCARD firmware is open source and reproducible, so you can review the code, compile it yourself, and verify that the published firmware matches the source.
How does COLDCARD work without connecting to a computer?
COLDCARD can operate fully air-gapped for its entire life cycle. Transactions move by MicroSD card, NFC, or QR codes using the PSBT standard.
How do you transfer Bitcoin transactions with COLDCARD?
COLDCARD supports USB-C, MicroSD sneaker-net, NFC tap, virtual disk mode, and QR scanning, with connectivity options off by default.
What happens if someone forces you to unlock your COLDCARD?
COLDCARD includes duress countermeasures such as Duress PIN, Countdown to Brick PIN, BIP39 passphrases, Brick Me PIN, and Login Countdown.
How does COLDCARD detect firmware tampering?
COLDCARD signs firmware with a factory key and verifies the firmware signature and flash memory during boot before setting the device's genuine/caution light status.
How does COLDCARD prevent tampering before delivery?
COLDCARD uses tamper-evident packaging with a unique bag number and a clear case so customers can inspect the device at first power-up.
Is this your brand?
The exact fixes for COLDCARD
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
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Source & Attribution
Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/coldcard
Cite this score: Engagemii (2026). "AEO Score for COLDCARD." Retrieved from https://engagemii.com/aeo/brands/coldcard
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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