kanazawa-u.ac.jp 59 D
🛡️ SEO 35 🤖 GEO 74 ⚡ Perf 49 🏗️ Arch 69

kanazawa-u.ac.jp — Global SEODiff Score 59/100

kanazawa-u.ac.jp
📊

With a solid 84/100 ACRI, kanazawa-u.ac.jp is well-positioned for AI search — better than 98% of sites in the Radar. Compared to other education sites (avg score: 57), kanazawa-u.ac.jp performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 7.0× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (35) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 7 snapshots
Mar 7 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 18 Content change detected
📈 Mar 16 ACRI +1 (58→59)
🔄 Mar 11 Content change detected
Does your site score higher than kanazawa-u.ac.jp?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)35 × 0.25 = 8.8
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)49 × 0.20 = 9.8
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 8.8 + 29.6 + 9.8 + 10.3
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
100
Structure
avg 35
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #67156
Aligned
Gap
AI (ACRI)
Top 2%
Score 84/100

kanazawa-u.ac.jp has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why kanazawa-u.ac.jp ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat7.0×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • 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

35/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

86 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

333 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — 金沢大学
  • ✓ og:description — 金沢大学公式ウェブサイト。金沢大学の概要、学域・学類・大学院について、研究・産学連携、国際交流・留学、社会連携、教育・学生支援・学生生活、卒業生・生涯学習、入試情報・高大院接続など、金沢大学に関する情報をご覧いただけます。
  • ✓ 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

74/100 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, rndirectors.com (ACRI: 85) 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 →
kanazawa-u.ac.jp
59
Your ACRI Score
85
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. rndirectors.com has schema coverage of 4 blocks and uses WordPress. 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 87 elements (87 lists, 0 rows, 0 headers)
Total Words280
Raw Density31.1%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡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.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

69
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability69/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

14%
🗑️ 86%
Useful Content (9.0 KB)Bloat (54.3 KB)
Token Bloat Ratio7.0× — Normal

Multimodal Readiness

Visual Context13% Optimized for Vision
Image Alt Coverage7 / 53 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 13% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 85.8% · SNR: 0.17 · Signal: 2310 / Noise: 13908 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

SEODiff AI analyzed the extracted content of kanazawa-u.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 access to a university website with recommendations for browsers and plugins for optimal viewing.
Target Audience
Students, faculty, staff, and visitors accessing the Kanazawa University website.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
RealPlayerRealOne PlayerMicrosoft Windows Media Player
🏆 Competitive Moat
SEMANTIC VOID
📊 Content Depth
2/10
⚡ Key Pain Points
• Lack of SEO optimization for specific browser versions
• Reliance on outdated plugins (Flash Player)
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time2522 ms
Raw HTML Size63.4 KB
Visible Text Size9.0 KB

Performance & Speed

49/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2522 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

544
DOM nodes
63 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

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

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 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 → https://www.kanazawa-u.ac.jp/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

91
internal links
4
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.

🏅 AI-Verified Trust Badge

Your site scores 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for kanazawa-u.ac.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/kanazawa-u.ac.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=kanazawa-u.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.

� Deep Crawl Analysis 64 pages · Deep-10

Homepage ACRI
59
Single-page score
-33
Severe hidden bloat
Δ delta
Site-Wide ACRI
27
Avg across 64 pages · Range 0–62
🔍
Hidden Bloat Detected

Homepage scores 59, but internal pages average only 27 — a -33-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
5%
Topical Drift
TF-IDF cosine similarity
Total Words
2001
Avg Bloat
406.7×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.kanazawa-u.ac.jp/news/4780/
東アジア若手研究者による環境研究シンポジウム: 若手研究者のネットワーク形成をめざして – 金沢大学
other 62 21.5× 525
https://www.kanazawa-u.ac.jp/sitemap.html
XML Sitemap
other 57 7.4× 125
https://www.kanazawa-u.ac.jp/news/14999/
平成18年度 金沢大学入学宣誓式及び大学院入学宣誓式挙行 – 金沢大学
other 39 126.0× 79 ⚠️ RAG Fracture
https://www.kanazawa-u.ac.jp/news/4863/
シンポジウム:能登半島地震を振り返る-地震に強い街づくりをめざして- – 金沢大学
other 39 93.1× 104
https://www.kanazawa-u.ac.jp/news/4850/
金沢大学「医薬保健学域」創設記念市民公開講演会 – 金沢大学
other 39 174.5× 54
https://www.kanazawa-u.ac.jp/news/4812/
文理系総合 業界・企業研究会 – 金沢大学
other 39 174.1× 54
https://www.kanazawa-u.ac.jp/message/13718/
角間の里 – 金沢大学
other 32 460.2× 21
https://www.kanazawa-u.ac.jp/message/13715/
教職員への年頭あいさつ 平成18年1月4日 – 金沢大学
other 32 411.6× 25
https://www.kanazawa-u.ac.jp/message/13624/
平成17年度 金沢大学学位記・修了証書授与式学長告辞 – 金沢大学
other 32 402.4× 26
https://www.kanazawa-u.ac.jp/message/13788/
平成13年度 金沢大学入学宣誓式学長告辞 – 金沢大学
other 32 401.7× 26
https://www.kanazawa-u.ac.jp/message/13786/
年頭あいさつ 平成14年1月4日 – 金沢大学
other 32 371.4× 26
https://www.kanazawa-u.ac.jp/message/13781/
平成13年度 金沢大学学位記・修了証書授与式学長告辞 – 金沢大学
other 32 363.5× 29
https://www.kanazawa-u.ac.jp/message/13775/
平成14年度 金沢大学入学宣誓式学長告辞 – 金沢大学
other 32 384.9× 27
https://www.kanazawa-u.ac.jp/message/13616/
平成18年度 金沢大学入学宣誓式学長告辞 – 金沢大学
other 32 384.3× 27
https://www.kanazawa-u.ac.jp/message/13769/
平成14年度 金沢大学学位記・修了証書授与式学長告辞 – 金沢大学
other 32 346.7× 30
https://www.kanazawa-u.ac.jp/message/13757/
平成15年度 金沢大学学位記・修了証書授与式学長告辞 – 金沢大学
other 32 268.3× 39
https://www.kanazawa-u.ac.jp/message/13744/
平成16年度 金沢大学入学宣誓式学長告辞 – 金沢大学
other 32 287.2× 36
https://www.kanazawa-u.ac.jp/message/13725/
文理融合研究で『総合性』を発揮 – 金沢大学
other 32 442.6× 22
https://www.kanazawa-u.ac.jp/message/13731/
平成17年度 金沢大学入学宣誓式学長告辞 – 金沢大学
other 32 305.6× 34
https://www.kanazawa-u.ac.jp/message/13606/
平成19年 年頭挨拶 – 金沢大学
other 32 364.3× 27
Showing 20 of 64 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/ 27 30 0% 515.2× High JS Bloat
/message/ 26 30 0% 458.7× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/sitemap.html/ 1 57 0% 7.4× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 26 0% 186.8× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 64 pages
kikin.adm.kanazawa-u.ac.jp ×54
instagram.com ×54
facebook.com ×54
emi.kanazawa-u.ac.jp ×54
twitter.com ×54
youtube.com ×54
acanthus.cis.kanazawa-u.ac.jp ×54
addtoany.com ×53
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

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

curl https://seodiff.io/api/v1/deep10/domain/kanazawa-u.ac.jp

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

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📊 Semantic Share of Voice

How often would an AI cite kanazawa-u.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 kanazawa-u.ac.jp. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Ac",
  "url": "https://kanazawa-u.ac.jp",
  "logo": "https://www.kanazawa-u.ac.jp/wp/wp-content/themes/KU/assets/images/common/favicon.ico",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Ac",
  "url": "https://kanazawa-u.ac.jp",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://kanazawa-u.ac.jp/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 kanazawa-u.ac.jp:

Current Score
84
Projected Score
100
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +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).

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🧭 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
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