AI Visibility Scorecard
makesenselab.com · Other
Borderline visible. AI bots can crawl MakeSense, 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
6
AI Naming Predictability
iRarely named · 6/100
4
AEO Visibility
iBorderline · 4.2/10
35
Muse Index Score
iAI agent readiness
Agent-ready · 35/100
0
AI Adoption
iNone detected · 0/100
from our crawl and measurement
"컨텐츠로 건너뛰기 MakeSense_Lab 기술 산업 공부 기록 메뉴 메뉴 개인정보 처리방침 About & Contact 주식은 왜 생겨서 사람을 힘들게 할까 2026.10.062026.10.05 작성자: MakeSense 주식에는 처음 생길 때부터 잃을 수 있는 위험이 담겨 있었습니다." That is how MakeSense_Lab introduces itself. When AI engines look at it, they find little to work with. It scores 4.2 out of 10.
Our crawl found structured data on the page (CollectionPage, BreadcrumbList, WebSite), a sitemap and a readable heading structure. It is missing an llms.txt file.
Strong · Good · Fair · Weak
Structured Data
Fair
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.
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 4.2/10, MakeSense is crawlable but under-signaled - fixable, and the signals above are where to start.
로봇의 근육, ‘액추에이터 모듈’ 이해하기: 왜 단순한 모터가 아닐까?
2026.04.032026.02.10 작성자: MakeSense 우리가 원하는 로봇에 대한 기대치는 상당히 높습니다. 달걀을 스무스하게 깨서 후라이를 만들어주면 좋겠습니다. 빨래도 각이 딱 잡히게 접어주면 좋겠습니다.
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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 October 8, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/makesenselab
Cite this score: Engagemii (2026). "AEO Score for MakeSense." Retrieved from https://engagemii.com/aeo/brands/makesenselab
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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