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AI Visibility Scorecard
ApX Machine Learning
tensorboard.com · Technology
Borderline visible. AI bots can crawl ApX Machine Learning, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
#2,298,131 of 2,812,091 in Technology for AI visibility
3.4
/10
AEO Score
About ApX Machine Learning
from our crawl and measurement
"Free LLM tools for engineers: VRAM calculator, GPU cost comparison, model directory and benchmarks, plus in-depth courses. Know what runs and what it costs." That is how ApX Machine Learning introduces itself. When AI engines look at it, they find little to work with. It scores 3.4 out of 10.
The site gets some of it right: it has substantial page content. What holds it back is what is absent, including structured data describing the business, an llms.txt file, a sitemap.
The 6 signals AI reads
Higher is better · 0-10
Structured Data
1
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
7
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
6
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
7
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
0
No inbound links found yet.
Domain Trust
0
Little domain authority yet.
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.
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 3.4/10, ApX Machine Learning is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for ApX Machine Learning
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech Shoppers Do More Research Than Anyone. Are You There When They're Looking?
Tech buyers are the most research-intensive shoppers on the internet.
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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/tensorboard
Cite this score: Engagemii (2026). "AEO Score for ApX Machine Learning." Retrieved from https://engagemii.com/aeo/brands/tensorboard
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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