AI Visibility Scorecard
Human Intelligence Engineering
bernhardwenzel.com · Technology
Borderline visible. AI bots can crawl Human Intelligence Engineering, 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 5 times
Claude · Apple Intelligence · Meta AI
#722,307 of 2,705,506 in Technology for AI visibility
3
5
AEO Visibility
iBorderline · 4.6/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
12
AI Adoption
iBasic · 12/100
About Human Intelligence Engineering
from our crawl and measurement
"This site explores the intersections of three subjects: decision making, learning and creation of value." That is how Human Intelligence Engineering introduces itself. When AI engines look at it, they find little to work with. It scores 4.6 out of 10.
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 5 times in our tracking, including ClaudeBot (Anthropic), Applebot (Siri) 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
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
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
Fair
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 4.6/10, Human Intelligence Engineering is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
How do software mental models (SMM) compare with the four design questions (4DQ)?
The short answer is that 4DQs are a tool to evaluate the subject at hand that leads to a conclusion, while SMMs are a process that keeps evolving. There is overlap between the two but also significant differences. Let’s have a look at each of the four questions. Model cases We start with likely the most confusing part.
How do Docker containers compare to physical containers?
The physical container is an enclosing made of steel that carries goods. Similarly, a Docker container provides applications with an isolated environment (the virtual equivalent of an enclosing). Actual containers are filled with goods. A Docker container runs an application. To understand how the application ends up on a Docker container (and how that is done efficiently), we need to understand three basic concepts:
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The exact fixes for Human Intelligence Engineering
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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.
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Source & Attribution
Scored by Engagemii on October 24, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/bernhardwenzel
Cite this score: Engagemii (2026). "AEO Score for Human Intelligence Engineering." Retrieved from https://engagemii.com/aeo/brands/bernhardwenzel
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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