AI Visibility Scorecard
entrropy.com · Technology
Borderline visible. AI bots can crawl mcozma, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
#1,805,604 of 2,705,025 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.1/10
40
Muse Index Score
iAI agent readiness
Agent-ready · 40/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
Marian Cozma Product Design Lead is a business whose own site puts it this way: "Product Design Lead with an engineering background, leading design for enterprise platforms and customer journeys across banking, telco and technology." When AI engines look at it, they find little to work with. It scores 4.1 out of 10.
Our crawl found structured data on the page (Person, WebSite, WebPage) and a readable heading structure. It is missing an llms.txt file and a sitemap.
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
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
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 4.1/10, mcozma is crawlable but under-signaled - fixable, and the signals above are where to start.
What are users trying to achieve?
Research users in context. Map the journey and its barriers. Challenge assumptions with evidence. 02 Set direction
What should we improve for users first?
Prioritise with product and engineering. Make the trade-offs explicit. Define how to measure success. 03 Make & test
Which approach works best for users?
Prototype different approaches. Test key tasks with users. Refine the details from feedback. 04 Deliver
Does the build meet users’ needs?
Define patterns and interaction rules. Review the build with engineering. Learn from use and iterate. 01 / 04 Reset Note 1 of 4: Understand ⅡPause ambient motion PRODUCTS, PLATFORMS & PEOPLE
Is this your brand?
The exact fixes for mcozma
Which AI engines already crawl you
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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 September 25, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/entrropy
Cite this score: Engagemii (2026). "AEO Score for mcozma." Retrieved from https://engagemii.com/aeo/brands/entrropy
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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