The AI-Readiness profile for design.kookmin.ac.kr is strong: an ACRI of 80/100 places it ahead of 94% of domains in the index. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. With a 3.6× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
Why design.kookmin.ac.kr ranks here
Fastest improvements
- Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
- Create an
llms.txtfile so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt → - Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
Traditional SEO
36/100 25 % of Global Score 🟢 High Confidence📝 Title Tag
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✗ Exactly 1 <h1> tag — found 2
- ✓ Has <h2> headings — found 3
- ✓ <h2> not before <h1>
🔍 Indexability
- ✗ Canonical tag present
- ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
ko - ➖ Hreflang tags — N/A (single language site)
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — 국민대학교 조형대학
- ✓ og:description — 한국 디자인의 역사를 돌아보면, 제품디자인, 그래픽디자인, 패션디자인 등 산업디자인이 우리 사회에 처음으로 이름을 알렸던 1970년대, 자동차디자인, CF 디자인이 등장한 1980년대, 그린디자인, 디지털미디어디자인, 웹사이트디자인, 유비쿼터스디자인, 주얼리디자인 등이 활성화되기 시작했던 1990년대, 그리고 2000년대 게임디자인, 인터랙션디자인, 엔터테인먼트디자인, 스마트웨어디자인 등에 이르기까지 당시에는 생소하기만 했던 다양한 분야에서 디자이너들이 전문성을 바탕으로 영향력을 확장해 왔습니다. 이처럼 시대마다 한국사회에 가장 척박하고 미지의 영역이었던 ‘창의 산업(Creative industry)’에 누구보다 먼저 용감하게 도전한 현장의 전문가 중 많은 수가 국민대학교 조형대학의 졸업생들입니다. 이것은 조형대학이 꾸준하게 이어 온 진보적인 도전정신의 결과이며, 혁신의 DNA를 품은 조형교육의 씨앗이 우리 사회 디자인 현장에서 맺은 결실이라 할 수 있습니다.
- ✓ og:image — preview
- ✗ twitter:card
📐 How the SEO Pillar score is calculated
SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)
Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.
AI Readiness / GEO
84/100 40 % of Global Score 🟢 High ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.
🤖 Bot Access Matrix
📊 Structure & Information Density Docs
🏷️ Schema Health Docs
Schema Coverage Map
📐 AI Efficiency Metrics Docs
Token Bloat Research
Multimodal Readiness
TDM Rights
🔥 Structural Entropy Check Research
🔬 AI-Crawler Simulation
See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
AI Answer Preview
NEWSee how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.
🔧 Tech Stack
Performance & Speed
53/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
DOM nodes
HTML payload
🗄️ Cache & CDN
- ✓ Cache-Control header →
no-store, no-cache, must-revalidate - ✗ CDN cache status
- ✗ CDN detected
🔬 Tracker Tax
tracker scripts
third-party domains
token overhead
📐 How the Performance Pillar score is calculated
Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)
TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.
Architecture & Trust
83/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://design.kookmin.ac.kr/sitemap.xml - ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
internal links
external links
🔒 Security & Trust
- ✗ HSTS header (Strict-Transport-Security)
- ✗ Content-Security-Policy header
- ✓ HTTP status 200 OK (got 200)
♿ Accessibility Signals
- ✓ HTML lang attribute → ko
- ✓ Meta viewport for mobile
- ✗ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated
Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)
Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.
🏅 AI-Verified Trust Badge
Your site scores 67/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
<a href="https://seodiff.io/radar/domains/design.kookmin.ac.kr" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=design.kookmin.ac.kr" alt="AI-Verified by SEODiff" width="280" height="52"></a>
💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.
🔗 Similar Sites
Domains with a similar tech stack, industry, and AI readiness profile to design.kookmin.ac.kr. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| design.kookmin.ac.kr (this site) | 67 | 80 | Custom / Proprietary | 3.6× | 0 | — |
| globalf5.com | 77 | 80 | Custom / Proprietary | 2.3× | 0 | Compare → |
| heathrowtravelcare.co.uk | 77 | 86 | Custom / Proprietary | 3.6× | 1 | Compare → |
| aoji.cn | 77 | 80 | Custom / Proprietary | 1.7× | 0 | Compare → |
| dalivo.de | 77 | 80 | Custom / Proprietary | 1.7× | 0 | Compare → |
| broadridge.com | 77 | 85 | Custom / Proprietary | 2.7× | 1 | Compare → |
📊 Semantic Share of Voice
How often would an AI cite design.kookmin.ac.kr when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.
Analyzing citation landscape…
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to design.kookmin.ac.kr. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Ac",
"url": "https://design.kookmin.ac.kr",
"logo": "https://design.kookmin.ac.kr/images/common/favicon_kmu.ico",
"sameAs": []
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Ac",
"url": "https://design.kookmin.ac.kr",
"potentialAction": {
"@type": "SearchAction",
"target": "https://design.kookmin.ac.kr/search?q={search_term_string}",
"query-input": "required name=search_term_string"
}
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Ac?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Ac does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Ac work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Ac."
}
}
]
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for design.kookmin.ac.kr:
*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.
📋 Data Export
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All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).
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