lrz.de 64 C
🛡️ SEO 41 🤖 GEO 82 ⚡ Perf 52 🏗️ Arch 71

lrz.de — Global SEODiff Score 64/100

lrz.de
📊

lrz.de achieves a 74/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. In the developer sector, lrz.de outperforms the average (57), 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 5.8× 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. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

64
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 8 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
Does your site score higher than lrz.de?
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)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)82 × 0.40 = 32.8
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 10.2 + 32.8 + 10.4 + 10.7
Global SEODiff Score = 64 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
67
Structure
avg 35
0
Schema
avg 9
60
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #30105
+19 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

lrz.de punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why lrz.de ranks here

Tech stackTYPO3
Industrydeveloper
RenderingSSR
Schema coverage0 blocks
Token bloat5.8×

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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

34 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 10
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.lrz.de/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → de
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✓ 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

82/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
lrz.de
61
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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 67/100 — Good
Structured Elements 247 elements (247 lists, 0 rows, 0 headers)
Total Words1812
Raw Density13.6%

🏷️ 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

62
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability62/100 — AI models can partially 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

17%
🗑️ 83%
Useful Content (49.7 KB)Bloat (238.2 KB)
Token Bloat Ratio5.8× — Normal

Multimodal Readiness

Visual Context27% Optimized for Vision
Image Alt Coverage3 / 11 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 27% 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: 82.7% · SNR: 0.21 · Signal: 12716 / Noise: 60984 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 lrz.de 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 Leibniz-Rechenzentrum (LRZ) provides comprehensive IT infrastructure and services for scientific research and education, focusing on enabling researchers with access
Target Audience
Researchers, scientists, university faculty, IT professionals, and institutions involved in scientific research and education.
Pricing Model
Not explicitly stated, but services are offered to institutions and research organizations on a customized basis.
🔗 Integration Partners
MWN
🛡️ Compliance Standards
ISO 20000ISO 27001ISO 14001
🏆 Competitive Moat
Extensive experience in supercomputing, a strong network within the German research community, and a focus on sustainable IT practices.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Service-ÜbersichtBeirat
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkTYPO3
AI-Readiness Score60/100
ServerApache/2
CDN
HTTP Status200
Load Time637 ms
Raw HTML Size287.9 KB
Visible Text Size49.7 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

637 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1719
DOM nodes
288 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=27462
  • ✗ 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 → https://www.lrz.de/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

230
internal links
8
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.

🏅 AI-Verified Trust Badge

Your site scores 61/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for lrz.de
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/lrz.de" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=lrz.de" 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 106 pages · Deep-10

Homepage ACRI
61
Single-page score
-20
Moderate hidden bloat
Δ delta
Site-Wide ACRI
41
Avg across 106 pages · Range 0–80
🔍
Hidden Bloat Detected

Homepage scores 61, but internal pages average only 41 — a -20-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
12%
Topical Drift
TF-IDF cosine similarity
Total Words
44780
Avg Bloat
292.0×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 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.lrz.de/das-lrz
Das LRZ - Leibniz-Rechenzentrum
other 80 16.7× 3787
https://www.lrz.de/technologien/virtuelle-realitaet-visualisierung
Virtuelle Realität & Visualisierung - Leibniz-Rechenzentrum
other 72 44.4× 1248
https://www.lrz.de/forschung
Forschung - Leibniz-Rechenzentrum
other 67 43.9× 1285
https://www.lrz.de/technologien/netz
Netz - Leibniz-Rechenzentrum
pricing 67 65.3× 701 💰 Pricing
https://www.lrz.de/technologien/it-sicherheit
IT-Sicherheit - Leibniz-Rechenzentrum
other 67 71.1× 659
https://www.lrz.de/datenschutz
Datenschutz - Leibniz-Rechenzentrum
other 62 21.4× 2157
https://www.lrz.de/service-center/alle-lrz-services/netz/mwn-anschluss
MWN-Anschluss - Leibniz-Rechenzentrum
pricing 59 44.9× 1060 💰 Pricing
https://www.lrz.de/technologien/ki-big-data
KI & Big Data - Leibniz-Rechenzentrum
other 59 37.3× 1375
https://www.lrz.de/technologien/daten
Daten - Leibniz-Rechenzentrum
other 59 71.1× 639
https://www.lrz.de/technologien/future-computing
Future Computing - Leibniz-Rechenzentrum
other 59 56.9× 849
https://www.lrz.de/service-center/alle-lrz-services/desktop-und-mobile-clients/mwn-mac
MWN-MAC - Leibniz-Rechenzentrum
product 59 65.9× 703
https://www.lrz.de/service-center/alle-lrz-services/desktop-und-mobile-clients/mwn-pc
MWN-PC - Leibniz-Rechenzentrum
product 59 69.4× 666
https://www.lrz.de/karriere/studierende
Studierende - Leibniz-Rechenzentrum
other 59 74.1× 643
https://www.lrz.de/karriere/ausbildung
Auszubildende - Leibniz-Rechenzentrum
other 59 64.5× 791
https://www.lrz.de/service-center/alle-lrz-services/speicherloesungen/data-science-storage
Data Science Storage - Leibniz-Rechenzentrum
product 59 49.2× 944
https://www.lrz.de/service-center/alle-lrz-services/e-mail-und-groupware/microsoft-exchange-hosting
Microsoft Exchange Hosting - Leibniz-Rechenzentrum
product 59 79.9× 577
https://www.lrz.de/datenschutz/datenschutzhinweise-fuer-bewerber
Datenschutzhinweise für Bewerber - Leibniz-Rechenzentrum
other 59 71.6× 607
https://www.lrz.de/service-center/alle-lrz-services/high-performance-computing/compute-cloud
Compute Cloud - Leibniz-Rechenzentrum
product 59 29.7× 1598
https://www.lrz.de/service-center/alle-lrz-services/high-performance-computing/attended-cluster-node-housing
Attended Cluster Node Housing - Leibniz-Rechenzentrum
pricing 59 28.6× 1681 💰 Pricing
https://www.lrz.de/service-center/alle-lrz-services/virtual-infrastructure-services/virtual-managed-server
Virtual Managed Server - Leibniz-Rechenzentrum
product 59 29.3× 1651 ⚠️ RAG Fracture
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
/service-center/ 59 44 0% 322.1× High JS Bloat
/technologien/ 8 59 0% 88.6× High JS Bloat
/aktuelles/ 8 39 0% 253.6× High JS Bloat
/karriere/ 4 58 0% 81.2× High JS Bloat
/servicefinder/ 4 26 0% 1679.6× High JS Bloat
/datenschutz/ 2 60 0% 46.5× High JS Bloat
/forschung/ 2 56 0% 83.5× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/kontakt/ 1 46 0% 155.4× High JS Bloat
/leichte-sprache/ 1 46 0% 99.8× High JS Bloat
/suche/ 1 46 0% 104.3× High JS Bloat
/gebaerdensprache/ 1 36 0% 682.2× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 106 pages
idmportal2.lrz.de ×95
mastodon.social ×95
youtube.com ×95
instagram.com ×95
doku.lrz.de ×95
app1.edoobox.com ×95
servicedesk.lrz.de ×95
de.linkedin.com ×95
🔄 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/lrz.de

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

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📊 Semantic Share of Voice

How often would an AI cite lrz.de 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 lrz.de. 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": "Lrz",
  "url": "https://lrz.de",
  "logo": "https://lrz.de/typo3conf/ext/sitepackage/Sites/Main/Resources/Public/Icons/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": "Lrz",
  "url": "https://lrz.de",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://lrz.de/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 Lrz?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Lrz does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Lrz work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Lrz."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for lrz.de:

Current Score
74
Projected Score
90
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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