AI Visibility Scorecard
deeplearningmonkey.com · Technology
At 2.82/10, Deep Learning Monkey is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Structured Data, E-E-A-T Signals and Domain Authority. That is fixable, and the signals below show where to start.
AI engines read this profile 7 times
Claude · Meta AI · Parallel · Perplexity
Top 50% in Technology for AI visibility
27
AI Naming Predictability
iRarely named · 27/100
Technology average 28
Top 36% of Technology
See what's behind this score →2.82
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →5
6
from our crawl and measurement
Deep Learning Monkey is one of the businesses we track in the Technology space. When AI engines look at it, they find little to work with. It scores 2.82 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 read this profile 7 times in our tracking, including ClaudeBot (Anthropic), Meta AI and ShapBot (Parallel).
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
-
Not yet measured.
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 read your site and name it in answers. At 2.82/10, Deep Learning Monkey is near-invisible to AI engines today. That is 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.
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 9, 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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