AI Visibility Scorecard
explained.ai
explained.ai · Technology
Somewhat visible. AI bots can read explained.ai, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 5 times
Claude · Meta AI · Apple Intelligence
#181,486 of 2,707,790 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.9/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
2
AI Adoption
iBasic · 2/100
About explained.ai
from our crawl and measurement
explained.ai is a business whose own site puts it this way: "explained.ai Deep explanations of machine learning and related topics." Its AI visibility score is 5.9 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.
AI crawlers have visited 3 times in our tracking, including Applebot (Siri), ClaudeBot (Anthropic) and Meta AI.
The 6 signals AI reads
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
Weak
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
Good
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Strong
Forum and community discussion.
Social Mentions
Weak
No social discussion 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 5.9/10, explained.ai has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
How to visualize decision trees (October 2018)?
(See video discussion.) Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current visualization packages are rudimentary and not immediately helpful to the novice.
How to explain gradient boosting (June 2018)?
Gradient boosting machines (GBMs) are currently very popular and so it's a good idea for machine learning practitioners to understand how GBMs work. The problem is that understanding all of the mathematical machinery is tricky and, unfortunately, these details are needed to tune the hyper-parameters.
Is this your brand?
The exact fixes for explained.ai
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for explained.ai.
Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/explained-ai
Cite this score: Engagemii (2026). "AEO Score for explained.ai." Retrieved from https://engagemii.com/aeo/brands/explained-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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