AI Visibility Scorecard
explaining.ml · Technology
Borderline visible. AI bots can crawl StrategyAtlas: Strategy Analysis for Machine Learning Interpretability, 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 2 times
Claude
#1,923,137 of 2,707,207 in Technology for AI visibility
0
AI Naming Predictability
iRarely named · 0/100
More likely to be named than 31% of Technology companies
4
AEO Visibility
iNear-invisible · 3.9/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
2
AI Adoption
iBasic · 2/100
from our crawl and measurement
StrategyAtlas: Strategy Analysis for Machine Learning Interpretability is a business whose own site puts it this way: "Watch presentation Run the demo model⋅strategy [ˈmɒdl ˈstratɪʤi] noun different treatments by a machine learning model of distinct groups in the input data." When AI engines look at it, they find little to work with. It scores 3.9 out of 10.
On its own pages the site does well on a clear heading structure. It is passable on basic crawler access and partial sitemap and link coverage. What holds it back is a clearly stated business identity, structured data describing the business and credibility markers like credentials or reviews.
Off the page there is only faint evidence that the domain is only lightly established. Beyond that, almost no other sites link to it, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
The site links to no social profiles, so there is nothing tying the brand to a wider presence.
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
Fair
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
Weak
No inbound links found yet.
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 3.9/10, StrategyAtlas: Strategy Analysis for Machine Learning Interpretability is crawlable but under-signaled - fixable, and the signals above are where to start.
How do we find data clusters?
Traditionally, we can find clusters in the data by applying a 2D projection technique (e.g., UMAP). UMAP DataMap
How do we find strategy clusters?
We propose using the same approach on feature importance values to find model strategies. UMAP StrategyMap
Is this your brand?
The exact fixes for StrategyAtlas: Strategy Analysis for Machine Learning Interpretability
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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 July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/explaining-ml
Cite this score: Engagemii (2026). "AEO Score for StrategyAtlas: Strategy Analysis for Machine Learning Interpretability." Retrieved from https://engagemii.com/aeo/brands/explaining-ml
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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