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AI Visibility Scorecard

JAX: High performance array computing — JAX  documentation

JAX: High performance array computing — JAX documentation

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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

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About JAX: High performance array computing — JAX documentation

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.

Industry · Technology
Last scored · Aug 1, 2026

The 6 signals AI reads

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.

Off-page authority

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.

Reddit

0

No Reddit mentions 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 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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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/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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