muroran-it.ac.jp 61 C
🛡️ SEO 43 🤖 GEO 88 ⚡ Perf 33 🏗️ Arch 58

muroran-it.ac.jp — Global SEODiff Score 61/100

muroran-it.ac.jp
📊

muroran-it.ac.jp achieves a 84/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the education vertical, this places muroran-it.ac.jp above the industry average of 58 —, 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 tight 2.3× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (33) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 24 Feb 27
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than muroran-it.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)43 × 0.25 = 10.8
🤖 AI Readiness / GEO (40% weight)88 × 0.40 = 35.2
⚡ Performance (20% weight)33 × 0.20 = 6.6
🏗️ Architecture & Trust (15% weight)58 × 0.15 = 8.7
Weighted sum = 10.8 + 35.2 + 6.6 + 8.7
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
100
Structure
avg 36
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 25%
Rank #252280
-23 pts
Gap
AI (ACRI)
Top 2%
Score 84/100

muroran-it.ac.jp ranks much higher on Google (Tranco Top 25%) than in AI search (Top 2%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why muroran-it.ac.jp ranks here

Tech stackWordPress
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat2.3×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

43/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

37 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

231 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 5
  • ✓ <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 — 国立大学法人 室蘭工業大学
  • ✓ og:description — 室蘭工業大学の公式ウェブサイトです。自然豊かなものづくりのまち室蘭の環境を活かし、総合的な理工学教育を通じ、未来をひらく科学技術者の育成を目指しています。
  • ✓ 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

88/100 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 →
muroran-it.ac.jp
75
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 742 elements (742 lists, 0 rows, 0 headers)
Total Words1262
Raw Density58.8%

🏷️ 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

75
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability75/100 — 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

43%
🗑️ 57%
Useful Content (150.0 KB)Bloat (201.9 KB)
Token Bloat Ratio2.3× — Lean

Multimodal Readiness

Visual Context28% Optimized for Vision
Image Alt Coverage11 / 39 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 28% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

68 Entropy
Fair Token Bloat: Medium
Noise Ratio: 57.4% · SNR: 0.74 · Signal: 38389 / Noise: 51678 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/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of muroran-it.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
科学研究与教育
Target Audience
学生、研究人员、企业、政府机构
Pricing Model
免费/收费(具体费用未明确)
🔗 Integration Partners
JAXANEDO名古屋大学
🛡️ Compliance Standards
THE世界大学ランキングQSアジア大学ランキングTHE学際科学ランキング
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-26 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache
CDN
HTTP Status200
Load Time1406 ms
Raw HTML Size351.8 KB
Visible Text Size150.0 KB

Performance & Speed

33/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1406 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3044
DOM nodes
352 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=0
  • ✗ 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

58/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

765
internal links
11
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 75/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for muroran-it.ac.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/muroran-it.ac.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=muroran-it.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 300 pages · Deep-10

Homepage ACRI
75
Single-page score
-26
Severe hidden bloat
Δ delta
Site-Wide ACRI
49
Avg across 300 pages · Range 49–62
🔍
Hidden Bloat Detected

Homepage scores 75, but internal pages average only 49 — a -26-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
7%
Topical Drift
TF-IDF cosine similarity
Total Words
118800
Avg Bloat
121.8×
Page Type ACRI Token Bloat Words Status
https://muroran-it.ac.jp/award/
受賞・表彰一覧 | 国立大学法人 室蘭工業大学
other 62 71.7× 686
https://muroran-it.ac.jp/pricing
国立大学法人 室蘭工業大学
pricing 59 79.6× 906
https://muroran-it.ac.jp/about
国立大学法人 室蘭工業大学
about 59 79.6× 906
https://muroran-it.ac.jp/features
国立大学法人 室蘭工業大学
product 59 79.6× 906
https://muroran-it.ac.jp/products
国立大学法人 室蘭工業大学
product 59 79.6× 906
https://muroran-it.ac.jp/blog
国立大学法人 室蘭工業大学
blog 59 79.6× 906
https://muroran-it.ac.jp/docs
国立大学法人 室蘭工業大学
docs 59 79.6× 906
https://muroran-it.ac.jp/case-studies
国立大学法人 室蘭工業大学
social-proof 59 79.6× 906
https://muroran-it.ac.jp/contact
国立大学法人 室蘭工業大学
support 59 79.6× 906
https://muroran-it.ac.jp/integrations
国立大学法人 室蘭工業大学
integrations 59 79.6× 906
https://muroran-it.ac.jp/faq
国立大学法人 室蘭工業大学
support 59 79.6× 906
https://muroran-it.ac.jp/sitemap/
サイトマップ | 国立大学法人 室蘭工業大学
other 59 84.0× 635
https://muroran-it.ac.jp/info/post-10189/
本学博士課程修了生が2026年度 NRCT 優秀研究成果賞(Quality Achievement Award/学位論文部門)を受賞しました | 国立大学法人 室蘭工業大学
other 59 90.1× 519
https://muroran-it.ac.jp/info/post-3496/
学位記授与式における学長告辞を掲載 | 国立大学法人 室蘭工業大学
other 52 118.5× 405
https://muroran-it.ac.jp/ranking/
ランキング | 国立大学法人 室蘭工業大学
other 52 109.6× 437
https://muroran-it.ac.jp/info/post-5813/
室蘭工業大学が「2020年度北海道優秀照明施設賞」を受賞 | 国立大学法人 室蘭工業大学
other 49 131.1× 353
https://muroran-it.ac.jp/info/post-5883/
THE世界大学ランキング Asia University Ranking 2021で301~350位にランクイン! | 国立大学法人 室蘭工業大学
other 49 124.4× 369
https://muroran-it.ac.jp/info/post-5891/
THE 世界大学ランキング日本版2021で131~140位にランクイン! | 国立大学法人 室蘭工業大学
other 49 126.1× 365
https://muroran-it.ac.jp/info/post-5943/
楠本 賢太 助教が「日下賞」を受賞しました | 国立大学法人 室蘭工業大学
other 49 126.6× 364
https://muroran-it.ac.jp/info/post-5949/
清水 一道 教授が「工作機械技術振興賞・人材育成賞」を受賞しました | 国立大学法人 室蘭工業大学
other 49 127.3× 362
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
/info/ 276 49 0% 123.7× High JS Bloat
/ranking/ 2 50 0% 120.5× High JS Bloat
/blog/ 1 59 0% 79.6× High JS Bloat
/features/ 1 59 0% 79.6× High JS Bloat
/links-gakunai/ 1 49 0% 121.8× High JS Bloat
/for_gp/ 1 49 0% 122.1× High JS Bloat
/contact/ 1 59 0% 79.6× High JS Bloat
/about/ 1 59 0% 79.6× High JS Bloat
/for_comp/ 1 49 0% 120.4× High JS Bloat
/case-studies/ 1 59 0% 79.6× High JS Bloat
/faq/ 1 59 0% 79.6× High JS Bloat
/site_policy/ 1 49 0% 125.3× High JS Bloat
/sitemap/ 1 59 0% 84.0× High JS Bloat
/for_grad/ 1 49 0% 123.6× High JS Bloat
/docs/ 1 59 0% 79.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 300 pages
twitter.com ×300
u.muroran-it.ac.jp ×300
researchmap.jp ×300
youtube.com ×300
rdsoran.muroran-it.ac.jp ×300
instagram.com ×300
e-apply.jp ×300
en3-jg.d1-law.com ×300
🔄 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/muroran-it.ac.jp

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite muroran-it.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 muroran-it.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://muroran-it.ac.jp",
  "logo": "https://muroran-it.ac.jp/f375x5my/assets/themes/01_muroran-it/img/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://muroran-it.ac.jp",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://muroran-it.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 muroran-it.ac.jp:

Current Score
84
Projected Score
97
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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