medunigraz.at 75 B
🛡️ SEO 60 🤖 GEO 90 ⚡ Perf 65 🏗️ Arch 71

medunigraz.at — Global SEODiff Score 75/100

medunigraz.at
📊

medunigraz.at achieves a 82/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. With a 2.8× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

75
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (60) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Feb 23 Feb 27
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)60 × 0.25 = 15.0
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 15.0 + 36.0 + 13.0 + 10.7
Global SEODiff Score = 75 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
100
Structure
avg 36
4
Schema
avg 9
60
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #61232
Aligned
Gap
AI (ACRI)
Top 4%
Score 82/100

medunigraz.at has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why medunigraz.at ranks here

Tech stackTYPO3
Industry
RenderingSSR
Schema coverage2 blocks
Token bloat2.8×

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

60/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

65 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

154 chars
Good length

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 → https://www.medunigraz.at/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → de
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Medizinische Universität Graz | pioneering minds | medunigraz.at
  • ✓ og:description — Forschen, lehren und lernen an einem der innovativsten Hochschulstandorte Österreichs und dabei steht in allen Bereichen stets der Mensch im Mittelpunkt.
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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.

🚨

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 280 elements (280 lists, 0 rows, 0 headers)
Total Words873
Raw Density32.1%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

76
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability76/100 — AI models can easily 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

35%
🗑️ 65%
Useful Content (40.4 KB)Bloat (72.6 KB)
Token Bloat Ratio2.8× — Lean

Multimodal Readiness

Visual Context48% Optimized for Vision
Image Alt Coverage21 / 44 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 48% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

55 Entropy
Fair Token Bloat: Medium
Noise Ratio: 64.3% · SNR: 0.56 · Signal: 10345 / Noise: 18597 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 medunigraz.at 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
The Universität Graz campus provides a comprehensive and interconnected environment for research, teaching, and patient care, fostering collaboration and innovation within the medical sciences.
Target Audience
Researchers, medical students, faculty, hospital staff, and the general public interested in the University's research and facilities.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
ORFÖHMEDonline
🛡️ Compliance Standards
ISO 27001
🏆 Competitive Moat
Integrated campus environment fostering collaboration and innovation in medical research and education, combined with a focus on sustainability and future-oriented development.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Campus layout pagesResearch center pagesStudy program pagesEvent pages
⚡ Key Pain Points
• Limited SEO optimization of campus resources
• Lack of clear information architecture for visitors
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

FrameworkTYPO3
AI-Readiness Score60/100
ServerApache
CDN
HTTP Status200
Load Time629 ms
Raw HTML Size113.1 KB
Visible Text Size40.4 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

629 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1239
DOM nodes
113 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=86400
  • ✗ 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

71/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

257
internal links
23
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 → de
  • ✓ 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 medunigraz.at
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💡 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 17 pages · Deep-10

Homepage ACRI
80
Single-page score
-16
Moderate hidden bloat
Δ delta
Site-Wide ACRI
65
Avg across 17 pages · Range 57–75
🔍
Hidden Bloat Detected

Homepage scores 80, but internal pages average only 65 — a -16-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
12551
Avg Bloat
30.1×
Page Type ACRI Token Bloat Words Status
https://www.medunigraz.at/universitaetscampus
Medizinische Universität Graz | Universitätscampus
pricing 75 18.4× 1259 💰 Pricing
https://www.medunigraz.at/doktoratsstudien/phd-program/phd-application-and-admission
PhD Application and Admission
other 72 19.9× 1059
https://www.medunigraz.at/corporate-design
Medizinische Universität Graz | Corporate Design
other 67 32.1× 637
https://www.medunigraz.at/tag-der-lehre
Tag der Lehre
other 67 26.1× 767
https://www.medunigraz.at/studium
Medizinische Universität Graz | Studium
other 67 21.2× 1039
https://www.medunigraz.at/studienangebot
Medizinische Universität Graz | Studienangebot
other 67 20.7× 1064
https://www.medunigraz.at/diagnostik
Medizinische Universität Graz | Gesundheit
other 67 27.7× 767
https://www.medunigraz.at/die-universitaet
Medizinische Universität Graz | Die Universität
other 67 30.4× 673
https://www.medunigraz.at/karriere
Medizinische Universität Graz | Karriere
other 67 22.0× 972
https://www.medunigraz.at/404error
404error
other 67 35.8× 531
https://www.medunigraz.at/aktivitaeten-neben-dem-studium
Med Uni Graz | Aktivitäten neben dem Studium
pricing 67 28.4× 708 💰 Pricing
https://www.medunigraz.at/veranstaltungsmeldung
Med Uni Graz | Veranstaltungsmeldung
pricing 67 27.0× 750 💰 Pricing
https://www.medunigraz.at/forschung/services
Services
product 57 40.5× 465
https://www.medunigraz.at/forschung/services/quicklinks
Quicklinks
product 57 40.5× 465
https://www.medunigraz.at/studium/allgemein
Allgemein
other 57 40.5× 465
https://www.medunigraz.at/studium/studienangebot
Studienangebot
other 57 40.5× 465
https://www.medunigraz.at/studium/campusleben
Campusleben
other 57 40.5× 465
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/studium/ 4 60 0% 35.7× High JS Bloat
/forschung/ 2 57 0% 40.5× High JS Bloat
/tag-der-lehre/ 1 67 0% 26.1× High JS Bloat
/doktoratsstudien/ 1 72 0% 19.9× High JS Bloat
/diagnostik/ 1 67 0% 27.7× High JS Bloat
/aktivitaeten-neben-dem-studium/ 1 67 0% 28.4× High JS Bloat
/universitaetscampus/ 1 75 0% 18.4× High JS Bloat
/corporate-design/ 1 67 0% 32.1× High JS Bloat
/studienangebot/ 1 67 0% 20.7× High JS Bloat
/die-universitaet/ 1 67 0% 30.4× High JS Bloat
/karriere/ 1 67 0% 21.9× High JS Bloat
/404error/ 1 67 0% 35.8× High JS Bloat
/veranstaltungsmeldung/ 1 67 0% 27.0× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 17 pages
youtube.com ×17
bsky.app ×17
at.linkedin.com ×17
instagram.com ×17
steiermark.antenne.at ×17
formular.medunigraz.at ×17
sciencepark.at ×17
oehmedgraz.at ×17
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🔌 API Access

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

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📊 Semantic Share of Voice

How often would an AI cite medunigraz.at 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 medunigraz.at. 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": "Medunigraz",
  "url": "https://medunigraz.at",
  "logo": "https://medunigraz.at/frontend/favicon.svg",
  "sameAs": []
}
</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 Medunigraz?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Medunigraz does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Medunigraz work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Medunigraz."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for medunigraz.at:

Current Score
82
Projected Score
91
Improvement
+9 pts
Add Organization schema +6 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