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AI Visibility Scorecard
jax.dev · Technology
Somewhat visible. AI bots can read JAX: High performance array computing — JAX documentation, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Claude · Apple Intelligence
#133,266 of 2,623,115 in Technology for AI visibility
6.3
/10
AEO Score
from our crawl and measurement
JAX: High performance array computing JAX documentation is a business whose own site puts it this way: "Familiar API JAX provides a familiar NumPy-style API for ease of adoption by researchers and engineers." Its AI visibility score is 6.3 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found a sitemap, a readable heading structure. It also found the gaps that keep answer engines guessing: structured data describing the business, an llms.txt file.
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
8
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
1
Experience, Expertise, Authority, Trust markers.
Technical AEO
5
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
3
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Trust
4
Established authority for your domain.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
1
Press and news coverage.
Community
6
Forum and community discussion.
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 6.3/10, JAX: High performance array computing — JAX documentation has a working base to build on - fixable, and the signals above are where to start.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/jax-dev
Cite this score: Engagemii (2026). "AEO Score for JAX: High performance array computing — JAX documentation." Retrieved from https://engagemii.com/aeo/brands/jax-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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