AI Visibility Scorecard
Leonardo Kuffo
lkuffo.com · Technology
Somewhat visible. AI bots can read Leonardo Kuffo, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 4 times
Meta AI · Claude · Apple Intelligence
#846,372 of 2,707,519 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.1/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
About Leonardo Kuffo
from our crawl and measurement
Leonardo Kuffo is a business whose own site puts it this way: "lkuffo 📝 Posts📙 My ResearchTagsCVLeonardo KuffoI am a PhD researcher in the Database Architectures group @ CWI." Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Organization), a sitemap and a readable heading structure. It is missing an llms.txt file.
The 6 signals AI reads
Strong · Good · Fair · Weak
Structured Data
Good
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
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
Strong
Sitemaps and entity links AI can follow.
Off-page authority
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.
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 5.1/10, Leonardo Kuffo has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What if we store vector embeddings vertically?
By using a columnar layout for vectors, you can speed up vector similarity search thanks to the more efficient distance kernels and efficient pruning of dimensions. This entry is a summary of our work, PDX: A Data Layout for Vector Similarity Search. A few months ago, we came across this 20-year-old paper proposing a vertical layout for vectors.
Is this your brand?
The exact fixes for Leonardo Kuffo
Which AI engines already crawl you
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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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/lkuffo
Cite this score: Engagemii (2026). "AEO Score for Leonardo Kuffo." Retrieved from https://engagemii.com/aeo/brands/lkuffo
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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