AI Visibility Scorecard
garnier.dev · Technology
Somewhat visible. AI bots can read Aurélien Garnier, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
Claude · Apple Intelligence · Meta AI
#464,612 of 2,707,790 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5.4/10
0
Muse Index Score
iAI agent readiness
Not agent-ready · 0/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Aurélien Garnier is a business whose own site puts it this way: "I then moved to Paris, France for all of my studies up to my Master’s degree in computer science." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.4 out of 10, readable in places and missing in others.
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 ClaudeBot (Anthropic).
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.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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 5.4/10, Aurélien Garnier has a working base to build on - fixable, and the signals above are where to start.
Q: How did you get into the tech world?
A: I’ve always been profoundly curious about how things work, especially the apps that I used on the computer as a child. Since I was already immersed in IT culture at home, I had all the tools needed to start exploring available at a young age. So, I jumped in and never left.
Q: How long have you been working in tech?
A: My first steps in computer science took place in 2011. I was then trying to grasp concepts by reading documentation and experimenting with scripts. I only started web development a year later in 2012, and Java in 2013. I earned my first buck by selling my services and software around that time. In 2016, I began working with bigger corporations on more complex business-grade projects.
Q: What are your 3 biggest weaknesses?
A: 1. I’m fairly uncomprising in my decisions and personal interactions. I do not praise easily. And I struggle settling for suboptimal solutions to save time. 2. I’m rather taciturn. I’m more productive and only reach flow state alone. I usually prefer exploring solutions by myself rather than being dependent. 3. I have a hard time working in unchanging contexts.
Q: What are you passionate about?
A: First of all, high tech, obviously. I’ve spent most of my spare time of the past 14+ years working on either computer software or hardware. I also like playing video games, travelling and flying planes. I love reading about space and more generally about innovation in science. Finally, I’m committed to openness of knowledge and information, as well as decentralization.
Q: What are your mid-term career objectives?
A: I aim at working for a leader in tech in the next 5 years, where I can evolve and discover new career paths. Additionally, I’m thrilled by solving challenging issues at a global scale and being impactful in IT. I strongly believe I can be a real asset for doing so through innovation as well as consolidation. I would also like to travel around the world while working remotely sometimes.
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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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/garnier-dev
Cite this score: Engagemii (2026). "AEO Score for Aurélien Garnier." Retrieved from https://engagemii.com/aeo/brands/garnier-dev
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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