uni-ulm.de 66 C
🛡️ SEO 25 🤖 GEO 85 ⚡ Perf 65 🏗️ Arch 83

uni-ulm.de — Global SEODiff Score 66/100

uni-ulm.de
📊

At 76/100, the ACRI for uni-ulm.de indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other education sites (avg score: 57), uni-ulm.de performs above the benchmark, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. With a 3.0× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. 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.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (25) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 5 Mar 18
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than uni-ulm.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)25 × 0.25 = 6.2
🤖 AI Readiness / GEO (40% weight)85 × 0.40 = 34.0
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 6.2 + 34.0 + 13.0 + 12.4
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
76
Structure
avg 35
0
Schema
avg 9
60
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #12635
+16 pts
Gap
AI (ACRI)
Top 17%
Score 76/100

uni-ulm.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 uni-ulm.de ranks here

Tech stackTYPO3
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat3.0×

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

25/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

64 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

133 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 9
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.uni-ulm.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

85/100 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, melbourneschool.com (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 →
uni-ulm.de
68
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. melbourneschool.com 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 76/100 — Good
Structured Elements 197 elements (197 lists, 0 rows, 0 headers)
Total Words1148
Raw Density17.2%

🏷️ 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

68
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability68/100 — 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

33%
🗑️ 67%
Useful Content (28.2 KB)Bloat (55.3 KB)
Token Bloat Ratio3.0× — Lean

Multimodal Readiness

Visual Context81% Optimized for Vision
Image Alt Coverage25 / 31 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

50 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.2% · SNR: 0.51 · Signal: 7229 / Noise: 14152 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 uni-ulm.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 LPT (LeiterplattenTechnik) provides PCB fabrication services for research institutions and external partners, offering a range of materials and layer
Target Audience
Researchers, engineers, students, faculty, and project managers at universities and research institutions, as well as external partners like FAW, ZSW, and ILM.
Pricing Model
Internal projects: Cost-based pricing based on material costs. External projects: University-determined rates according to legal/contractual guidelines.
🔗 Integration Partners
EAGLEKiCad
🏆 Competitive Moat
Specialized PCB fabrication for research institutions with a focus on multilayer boards and advanced materials, combined with a streamlined process for both internal and external projects.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
CAD system integration pagesTemplate comparison pages
⚡ 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/2.4
CDN
HTTP Status200
Load Time902 ms
Raw HTML Size83.5 KB
Visible Text Size28.2 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

902 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1025
DOM nodes
84 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=9
  • ✗ 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

184
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 68/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for uni-ulm.de
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/uni-ulm.de" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=uni-ulm.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 116 pages · Deep-10

Homepage ACRI
68
Single-page score
-5
Consistent readability
Δ delta
Site-Wide ACRI
63
Avg across 116 pages · Range 0–85
Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
53045
Avg Bloat
30.5×
Page Type ACRI Token Bloat Words Status
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/entzuendungshemmer-auf-umwegen-kortison-wirkt-ueber-pro-entzuendliche-signalwege-2/
Entzündungshemmer auf Umwegen - Kortison wirkt über pro-entzündliche Signalwege - Universität Ulm
blog 85 9.1× 837
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/uni-ulm-kooptiert-vier-hochschul-professoren-neuer-weg-zum-doktortitel-fuer-haw-absolventen-1/
Uni Ulm kooptiert vier Hochschul-Professoren - Neuer Weg zum Doktortitel für HAW-Absolventen - Universität Ulm
blog 85 8.8× 842
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/fitnesstest-fuer-wirbeltiere/
Fitnesstest für Wirbeltiere - Universität Ulm
blog 85 9.6× 718
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/joghurt-retter-und-genschere-fuer-den-menschen/
Joghurt-Retter und Genschere für den Menschen - Universität Ulm
blog 85 9.7× 710
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/guinness-rekord-fuer-einen-zufallsfund/
Guinness-Rekord für einen Zufallsfund: - Universität Ulm
blog 85 8.8× 849
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/medikamente-aus-koerpereigenen-wirkstoffen/
Medikamente aus körpereigenen Wirkstoffen: - Universität Ulm
blog 85 8.7× 836
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/von-harvard-an-die-uni-ulm/
Von Harvard an die Uni Ulm - Universität Ulm
blog 85 8.6× 838
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/internationale-sichtbarkeit-fuer-ulmer-spitzenforschung-gestaerkt/
Internationale Sichtbarkeit für Ulmer Spitzenforschung gestärkt - Universität Ulm
blog 85 9.8× 712
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/grosses-hasenmaul-auf-fischfang/
Großes Hasenmaul auf Fischfang - Universität Ulm
blog 85 9.2× 769
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/boni-mit-gewicht-im-lebenslauf/
Boni mit Gewicht im Lebenslauf - Universität Ulm
blog 85 9.6× 748
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/skorpionsfuesse-riechen/
Skorpionsfüße riechen! - Universität Ulm
blog 85 8.3× 869
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/seilbahn-zu-den-obersten-etagen-des-regenwalds/
Seilbahn zu den obersten Etagen des Regenwalds - Universität Ulm
blog 85 8.8× 795
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/globetrotter-in-der-welt-der-duefte/
Globetrotter in der Welt der Düfte - Universität Ulm
blog 85 7.6× 1068
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/universitaet-ulm-baut-zentrum-fuer-quanten-biowissenschaften/
Universität Ulm baut Zentrum für Quanten-Biowissenschaften - Universität Ulm
blog 85 8.0× 920
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/geschuettelt-nicht-geruehrt-kontrolle-ueber-komplexe-systeme-vieler-quantenteilchen/
Geschüttelt, nicht gerührt: Kontrolle über komplexe Systeme vieler Quantenteilchen - Universität Ulm
blog 85 9.8× 719
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/mehr-masterstudienplaetze-fuer-die-pharmazeutische-biotechnologie/
Mehr Masterstudienplätze für die „Pharmazeutische Biotechnologie“ - Universität Ulm
blog 85 8.4× 910
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/neuer-korrosionsschutz-mit-selbstheilungskraeften/
Neuer Korrosionsschutz mit Selbstheilungskräften - Universität Ulm
blog 85 9.2× 783
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/klimawandel-bedroht-weltweit-die-waelder/
Klimawandel bedroht weltweit die Wälder - Universität Ulm
blog 85 6.9× 1114
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/neuer-hochleistungsrechner-fuer-die-theoretische-chemie/
Neuer Hochleistungsrechner für die Theoretische Chemie - Universität Ulm
blog 85 8.6× 876
https://www.uni-ulm.de/nawi/naturwissenschaften/nawi-detailseiten/news-detail/article/diamanten-ermoeglichen-detaillierte-einblicke-in-den-koerper/
Diamanten ermöglichen detaillierte Einblicke in den Körper - Universität Ulm
blog 85 9.5× 744
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
/nawi/ 106 68 0% 33.3× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 85 0% 6.5× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 116 pages
facebook.com ×107
linkedin.com ×107
mastodon.social ×107
youtube.com ×107
portal.uni-ulm.de ×107
bsky.app ×107
instagram.com ×107
hrk.de ×107
🔄 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/uni-ulm.de

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

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📊 Semantic Share of Voice

How often would an AI cite uni-ulm.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 uni-ulm.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": "Uni-ulm",
  "url": "https://uni-ulm.de",
  "logo": "https://uni-ulm.de/_assets/a92153751098915699a1afa17e77f864/Images/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": "Uni-ulm",
  "url": "https://uni-ulm.de",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://uni-ulm.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 Uni-ulm?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Uni-ulm does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Uni-ulm work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Uni-ulm."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
76
Projected Score
89
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

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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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