geidai.ac.jp 68 C
🛡️ SEO 64 🤖 GEO 90 ⚡ Perf 27 🏗️ Arch 69

geidai.ac.jp — Global SEODiff Score 68/100

geidai.ac.jp
📊

geidai.ac.jp demonstrates elite AI-Readiness, achieving an ACRI of 90/100 — placing it in the top 99% of all indexed domains. Within the education vertical, this places geidai.ac.jp above the industry average of 57 —, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The token bloat ratio sits at a lean 3.5×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (27) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than geidai.ac.jp?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)27 × 0.20 = 5.4
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 16.0 + 36.0 + 5.4 + 10.3
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
100
Structure
avg 36
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 12%
Rank #122934
-11 pts
Gap
AI (ACRI)
Top 1%
Score 90/100

geidai.ac.jp is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why geidai.ac.jp ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage1 blocks
Token bloat3.5×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • Create an llms.txt file 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 →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

18 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

309 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 60
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.geidai.ac.jp/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — 東京藝術大学
  • ✓ og:description — 日本で唯一の国立総合芸術大学として、創設以来、世界水準の教育研究活動を展開し、数多の傑出した芸術家を育成・輩出するとともに、国内外における広範かつ多様な芸術活動や社会実践等を通じて芸術文化の継承・発展に寄与
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 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

90/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the education sector, educationdirectory.com.au (ACRI: 86) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
geidai.ac.jp
80
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. educationdirectory.com.au has schema coverage of 4 blocks and uses Custom / Proprietary. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 446 elements (439 lists, 2 rows, 5 headers)
Total Words926
Raw Density48.2%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 schema types detected
✅ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

86
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability86/100 — AI models can easily extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

28%
🗑️ 72%
Useful Content (78.6 KB)Bloat (195.7 KB)
Token Bloat Ratio3.5× — Lean

Multimodal Readiness

Visual Context15% Optimized for Vision
Image Alt Coverage11 / 72 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 15% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

38 Entropy
Poor Token Bloat: High
Noise Ratio: 71.3% · SNR: 0.40 · Signal: 20132 / Noise: 50107 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…
🧠

The LLM Interpretation

AI-VERIFIED

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of geidai.ac.jp and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
This website provides comprehensive information about Tokyo University of the Arts, including academic programs, admission procedures, campus life, research opportunities,
Target Audience
Prospective students (undergraduate and graduate), current students, alumni, parents, donors, and general public interested in the university.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Extensive and detailed information about the university's programs, research, and history, combined with a strong focus on student support and community engagement.
📊 Content Depth
9/10
🔄 Programmatic SEO Signals
Multiple pages dedicated to specific academic departments and programs (e.g., ‘絵画科・絵画専攻’ - Painting Department/Major)Detailed curriculum and admission information for each program.Regularly updated news and event pages.Template-generated pages for various academic programs and events.
⚡ Key Pain Points
• Limited SEO signals for specific program pages beyond department names.
• Lack of structured FAQ schema for common student inquiries.
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache
CDN
HTTP Status200
Load Time2837 ms
Raw HTML Size274.4 KB
Visible Text Size78.6 KB

Performance & Speed

27/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2837 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

2628
DOM nodes
274 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.com
📐 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

69/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → www.geidai.ac.jp
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

566
internal links
44
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✗ HSTS header (Strict-Transport-Security)
  • ✗ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → ja
  • ✓ 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.

✓ TOP 15% AI-READY

🏆 You Are AI-Verified — Claim Your Badge

Your site scores 80/100 on the AI-Crawler Reality Index. Embed this trust badge on your site — every click sends visitors to your verified report and builds backlinks to your domain.

AI-Verified badge for geidai.ac.jp
Verified — updates automatically every 24h
<a href="https://seodiff.io/radar/domains/geidai.ac.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=geidai.ac.jp" 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.

How it works: The badge queries your ACRI score daily. If your score drops below 80 or your site hasn't been scanned in 30 days, the badge changes to "Pending Audit" (yellow) — prompting you to fix issues and rescan. Learn about ACRI methodology →

� Deep Crawl Analysis 612 pages · Deep-10

Homepage ACRI
80
Single-page score
-22
Severe hidden bloat
Δ delta
Site-Wide ACRI
58
Avg across 612 pages · Range 57–70
🔍
Hidden Bloat Detected

Homepage scores 80, but internal pages average only 58 — a -22-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
285649
Avg Bloat
73.4×
RAG Fractures [?]
11
⚠️
11 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 11 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.geidai.ac.jp/life/job/job_fairs
就職相談・OB / OG訪問 | 東京藝術大学
pricing 70 62.7× 562 💰 Pricing
https://www.geidai.ac.jp/life/job/job_serch
イベント/インターンシップ | 東京藝術大学
pricing 70 53.6× 689 💰 Pricing
https://www.geidai.ac.jp/life/job/education
求人情報 | 東京藝術大学
pricing 70 60.4× 627 💰 Pricing
https://www.geidai.ac.jp/news/2013102210065.html
大学院映像研究科「上野校地シアター2013(後期)」の開催について | 東京藝術大学
pricing 70 68.0× 513 💰 Pricing
https://www.geidai.ac.jp/news/2013110711424.html
第14回「学長と語ろう こんさーと」を開催しました | 東京藝術大学
pricing 70 62.6× 604 💰 Pricing
https://www.geidai.ac.jp/news/2014062019361.html
第15回「学長と語ろう こんさーと」を開催しました | 東京藝術大学
pricing 70 63.9× 604 💰 Pricing
https://www.geidai.ac.jp/news/2015030327618.html
文部科学省スーパーグローバル大学創成支援事業 東京藝術大学・川本喜八郎生誕90年記念講演 「川本喜八郎 その人と作品」開催 | 東京藝術大学
pricing 70 63.7× 552 💰 Pricing
https://www.geidai.ac.jp/news/2015071033502.html
東京藝術大学音楽学部 第1回オープンキャンパス GEIDAI music OPEN CAMPUS 2015の開催について | 東京藝術大学
pricing 70 33.1× 1245 ⚠️ RAG Fracture
https://www.geidai.ac.jp/news/2016032843087.html
平成27年度 卒業式(3/25) 「慕」 ‐ 人を慕い、敬慕を尽くすこと ‐ | 東京藝術大学
pricing 70 68.0× 525 💰 Pricing
https://www.geidai.ac.jp/news/2016101950120.html
10月18日「藝大アーツイン丸の内2016」が東京丸の内・丸ビルで開幕 | 東京藝術大学
pricing 70 66.9× 574 💰 Pricing
https://www.geidai.ac.jp/news/2015111338093.html
【告知】公開講座 OPEN TRADITION2015 『アニメーションとキャラクターの幸福な関係』 | 東京藝術大学
pricing 70 65.4× 532 💰 Pricing
https://www.geidai.ac.jp/news/2013111911714.html
大学院映像研究科アニメーション専攻公開講座「OPEN SYMPOSIUM 2013『拡張する国際アニメーション映画祭の現在』」の開催について | 東京藝術大学
pricing 70 66.0× 526 💰 Pricing
https://www.geidai.ac.jp/news/2013062810760.html
八角親方をゲストに迎え、第13回奏楽堂トーク&コンサート「学長と語ろう こんさ-と」を開催(トーク内容を掲載しました) | 東京藝術大学
pricing 70 58.7× 750 💰 Pricing
https://www.geidai.ac.jp/news
News アーカイブ | 東京藝術大学
pricing 67 68.5× 503 💰 Pricing
https://www.geidai.ac.jp/news/2015070132511.html
早期教育プロジェクト2015~夢を夢で終わらせない~ | 東京藝術大学
pricing 67 50.2× 728 💰 Pricing
https://www.geidai.ac.jp/news/2013070510777.html
第8回 藝大アートプラザ大賞の作品募集について | 東京藝術大学
pricing 67 62.9× 541 💰 Pricing
https://www.geidai.ac.jp/news/2013060510808.html
藝大アートプラザ大賞受賞者招待展の開催について | 東京藝術大学
pricing 67 66.9× 512 💰 Pricing
https://www.geidai.ac.jp/news/2013111111461.html
馬車道コンサートの開催について | 東京藝術大学
pricing 67 66.3× 515 💰 Pricing
https://www.geidai.ac.jp/news/2013082710700.html
美術学部入試説明会の開催について | 東京藝術大学
pricing 67 56.3× 631 💰 Pricing
https://www.geidai.ac.jp/news/201307306793.html
公開講座 馬車道エッジズ『コンテンポラリーアニメーション入門』~現代短編アニメーションの見取り図~2013 第13回講座の開催について | 東京藝術大学
pricing 67 66.7× 513 💰 Pricing
Showing 20 of 100 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/news/ 487 58 0% 73.5× High JS Bloat
/life/ 5 65 0% 65.8× High JS Bloat
/about/ 2 60 0% 73.4× High JS Bloat
/sitemap/ 1 67 0% 62.2× High JS Bloat
/top/ 1 67 0% 60.6× High JS Bloat
/faq/ 1 66 0% 14.1× High JS Bloat
/link/ 1 67 0% 57.1× High JS Bloat
/access/ 1 67 0% 66.2× High JS Bloat
/inquiry/ 1 67 0% 52.8× High JS Bloat
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/geidai.ac.jp

Get your free API key — 100 requests/month included.

🔗 Similar education Sites

Domains with a similar tech stack, industry, and AI readiness profile to geidai.ac.jp. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
geidai.ac.jp (this site) 80 90 WordPress 3.5× 1
nluo.ac.in 81 88 WordPress 1.8× 1 Compare →
cmhs.uog.edu.et 83 90 WordPress 2.6× 1 Compare →
paramountcommunication.com 85 90 WordPress 3.0× 1 Compare →
preston.ac.uk 81 90 WordPress 6.3× 1 Compare →
jukushiru.com 80 88 WordPress 3.7× 3 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite geidai.ac.jp 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-PASTE

Auto-generated code fixes tailored to geidai.ac.jp. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<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 geidai.ac.jp:

Current Score
90
Projected Score
93
Improvement
+3 pts
Add FAQ schema +3 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history