AI Visibility Scorecard
vc-framework.com · Technology
Borderline visible. AI bots can crawl VC-Framework, 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 6 times
Meta AI · Claude
#1,748,804 of 2,707,789 in Technology for AI visibility
4
AEO Visibility
iBorderline · 4.2/10
25
Muse Index Score
iAI agent readiness
Basic · 25/100
?
AI Adoption
iNone detected · -/100
from our crawl and measurement
"인간이 정의하고 AI가 실행하는 소프트웨어 개발 방법론. 7단계 구조(110 Frame ~ 170 Operate)로 소프트웨어 개발 생명주기를 재설계합니다." That is how VC-Framework introduces itself. To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 4.2 out of 10.
Our crawl found structured data on the page (WebSite, SoftwareApplication), a sitemap and a readable heading structure. It is missing an llms.txt file.
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
Good
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, VC-Framework is crawlable but under-signaled - fixable, and the signals above are where to start.
VC-Framework란?
기존 소프트웨어 개발 생명주기(SDLC)를 기반으로, 각 단계를 인공지능이 실행 주체로 수행하고 인간이 정의·검증·의사결정 역할을 담당하도록 재구성한 협업형 소프트웨어 개발 프레임워크입니다. 인간이 프로젝트의 목적, 요구사항, 제약 조건 및 기준을 정의하고, 인공지능이 해당 정의를 기반으로 소프트웨어 개발 생명주기의 각 단계를 수행하여 결과물을 생성하며, 생성된 결과물을 인간이 검증·조정함으로써 단계 간 상태 전이를 반복 수행하는 협업형 소프트웨어 개발 프레임워크. Vibe Coding & AI Coding
Is this your brand?
The exact fixes for VC-Framework
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 August 13, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/vc-framework
Cite this score: Engagemii (2026). "AEO Score for VC-Framework." Retrieved from https://engagemii.com/aeo/brands/vc-framework
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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