#863,001 OF 2,702,905 IN TECHNOLOGY
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AI Visibility Scorecard
COLDCARD
getcoldcard.com · Technology
Borderline visible. AI bots can crawl COLDCARD, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Claude
#863,001 of 2,702,905 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5/10
80
Muse Index Score
iAI agent readiness
Transactable · 80/100
0
AI Adoption
iNone detected · 0/100
About COLDCARD
from our crawl and measurement
COLDCARD, based in Toronto, ON, describes itself simply: "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, though, it is barely visible: it scores 4.9 out of 10.
Our crawl found structured data on the page (Organization, WebSite, Product) and a readable heading structure. It is missing an llms.txt file and a sitemap.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
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 5/10, COLDCARD is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
Why does COLDCARD store keys in dual secure elements?
We find it quite scary that some hardware wallets trust the main microprocessor with their most valuable secrets.
How does COLDCARD detect firmware tampering?
To resist Evil Maids, and other sneaky people with physical access to your COLDCARD, we sign our firmware with a factory key. During boot-up, the firmware's signature, and nearly every byte of flash memory, will be verified and the appropriate Green/Red light set.
How does COLDCARD protect against phishing attacks?
The PIN code on COLDCARD is divided into two parts, such as 1234-5678. You first enter 1234 and then you will be shown two words on-screen. Those words are unique for all PIN prefixes, and for each COLDCARD ever made.
How does COLDCARD prevent physical tampering?
The carefully designed PCB increases the SE probing difficulty. Our
How does COLDCARD work completely air-gapped?
COLDCARD never needs to touch a computer. It can work entirely from a USB power pack or AC power adapter. This includes everything you need to do in the whole life of the product: Initial PIN choosing and setup. Create a seed using fresh device entropy plus required key timing, physical dice, or physical coin input; use the separate advanced Dice Rolls Only workflow; or import an existing secret.
Is this your brand?
The exact fixes for COLDCARD
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for COLDCARD.
Source & Attribution
Scored by Engagemii on September 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/getcoldcard
Cite this score: Engagemii (2026). "AEO Score for COLDCARD." Retrieved from https://engagemii.com/aeo/brands/getcoldcard
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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