AI Visibility Scorecard
deeplearningmonkey.com · Technology
Borderline visible. AI bots can crawl Deep Learning Monkey, 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 4 times
Claude · Meta AI
#1,221,845 of 2,705,353 in Technology for AI visibility
5
AEO Visibility
iBorderline · 4.8/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
6
AI Adoption
iBasic · 6/100
from our crawl and measurement
Deep Learning Monkey is a business whose own site puts it this way: "Deep Learning Monkey Wednesday, December 23, 2020 Supervised Learning Introduction In the last post, I discussed the distinction between Artificial Intelligence(AI) and Machine Learning." When AI engines look at it, they find little to work with. It scores 4.8 out of 10.
Our crawl found a sitemap and a readable heading structure. It is missing structured data describing the business and an llms.txt file.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Weak
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
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
Fair
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Good
Inbound links from other sites.
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.
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 4.8/10, Deep Learning Monkey is crawlable but under-signaled - fixable, and the signals above are where to start.
What we are going to build?
In the software development that I do daily, I combine data or input and instructions or rules to produce a result. For example, I might be writing a method for validating information about a user. The input would be things like the user name, address, and phone number.
What are we going to feed what we built?
The amount of data that exists today is unprecedented and this has largely contributed to the explosion in machine learning. In Supervised Learning our data can take many different forms. In our example, we used still images but it could be streaming video, text, hand written text, medical scans, a CSV file, or audio. Of course these are just examples of the many data formats to which SL may be applied.
How do we know what we built works?
We need to have a way of knowing that the model we built actually works. As in any good software projects, we should have this already defined with stakeholder agreement prior to any coding activities.
Is this your brand?
The exact fixes for Deep Learning Monkey
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/deeplearningmonkey
Cite this score: Engagemii (2026). "AEO Score for Deep Learning Monkey." Retrieved from https://engagemii.com/aeo/brands/deeplearningmonkey
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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