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AI Visibility Scorecard
codeorange.dev · Technology
Somewhat visible. AI bots can read Code Orange Dev School, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
ChatGPT · Claude
#869,453 of 2,811,265 in Technology for AI visibility
5.1
/10
AEO Score
from our crawl and measurement
Code Orange Dev School describes itself simply: "Bitcoin lacks developers and node runners in Asia. Code Orange fixes this - hands-on cohorts, workshops, and open source contribution, from Singapore." Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.
The gap is on the page itself: the site is missing structured data describing the business, an llms.txt file, a sitemap, which are the first things an answer engine looks for.
Our monitoring has logged 3 AI crawler visits here: the engines come, the question is what they find.
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
9
Clear headings and answer-style content.
Entity Clarity
4
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
3
Experience, Expertise, Authority, Trust markers.
Technical AEO
5
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
8
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
2
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
0
No community discussion yet.
0
No Reddit mentions found yet.
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 5.1/10, Code Orange Dev School has a working base to build on - fixable, and the signals above are where to start.
How much does it cost?
All Code Orange programs are free for accepted students. We are funded by Bitcoin grants, donations, and partnerships. Contributing back via open source is part of the curriculum — pay it forward, not upfront.
Do I need prior coding experience?
It depends. rawBit and the Bitcoin Privacy Track expect comfort with at least one programming language. Sovereign Bitcoiner, OpenClaw, Vibe Coding, and Bitcoin Basics are open to all levels — bring curiosity, we will bring the rest.
How much time should I commit?
rawBit: ~5 hours/week for 10 weeks. Privacy Track: ~3 hours/week for 12 months, bi-weekly. Workshops: 2–3 hours per session, monthly. Every program is built around busy adults, and sessions are recorded.
In what language are sessions taught?
Most sessions run in English. Talk-a-Bit runs in Bahasa Indonesia and English. Community members teach in Malay, Thai, Vietnamese, and Mandarin in their respective regions.
Are graduates actually contributing to Bitcoin?
Yes — and we track it publicly. github.com/code-orange-dev/PR-tracking-dashboard records every PR submitted by community members to Bitcoin open source. Graduates have moved on to Chaincode Labs, OpenSats grants, and full-time Bitcoin roles.
Can I run a Code Orange workshop in my city?
Yes please. Every workshop deck is open source and free at github.com/code-orange-dev/curriculum. Drop into our Discord — we will help with branding, links, and promotion.
Is this your brand?
The exact fixes for Code Orange Dev School
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/codeorange-dev
Cite this score: Engagemii (2026). "AEO Score for Code Orange Dev School." Retrieved from https://engagemii.com/aeo/brands/codeorange-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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