fgz-risc.de 71 B
🛡️ SEO 63 🤖 GEO 83 ⚡ Perf 59 🏗️ Arch 65

fgz-risc.de — Global SEODiff Score 71/100

fgz-risc.de
📊

At 78/100, the ACRI for fgz-risc.de indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other news sites (avg score: 57), fgz-risc.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. The 5.2× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (59) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 23 Mar 8
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
📉 Mar 15 ACRI -1 (65→64)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)83 × 0.40 = 33.2
⚡ Performance (20% weight)59 × 0.20 = 11.8
🏗️ Architecture & Trust (15% weight)65 × 0.15 = 9.8
Weighted sum = 15.8 + 33.2 + 11.8 + 9.8
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
51
Structure
avg 35
42
Schema
avg 9
60
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #854519
-73 pts
Gap
AI (ACRI)
Top 12%
Score 78/100

fgz-risc.de ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 12%). 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 fgz-risc.de ranks here

Tech stackTYPO3
Industrynews
RenderingSSR
Schema coverage1 blocks
Token bloat5.2×

Fastest improvements

  • 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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

56 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

160 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 16
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Forschungsinstitut Gesellschaftlicher Zusammenhalt (FGZ)
  • ✓ og:description — Das FGZ erforscht als Verbundprojekt an elf Standorten Begriff und Konzeptionen, Quellen und Gefährdungen, Folgen und Wirkungen sowie historische, globale und regionale Kontexte gesellschaftlichen Zusammenhalts. Das FGZ arbeitet interdisziplinär und im ständigen Dialog mit der Öffentlichkeit.
  • ✓ 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

83/100 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 news sector, medi.de (ACRI: 82) 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 →
fgz-risc.de
64
Your ACRI Score
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. medi.de has schema coverage of 4 blocks and uses TYPO3. 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 51/100 — Fair
Structured Elements 91 elements (91 lists, 0 rows, 0 headers)
Total Words1158
Raw Density7.9%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

70
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability70/100 — 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

19%
🗑️ 81%
Useful Content (47.2 KB)Bloat (196.3 KB)
Token Bloat Ratio5.2× — Normal

Multimodal Readiness

Visual Context73% Optimized for Vision
Image Alt Coverage11 / 15 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 80.6% · SNR: 0.24 · Signal: 12082 / Noise: 50242 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…

🔧 Tech Stack

FrameworkTYPO3
AI-Readiness Score60/100
ServerApache
CDN
HTTP Status200
Load Time828 ms
Raw HTML Size243.5 KB
Visible Text Size47.2 KB

Performance & Speed

59/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

828 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1110
DOM nodes
244 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, no-store
  • ✗ 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

65/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

101
internal links
22
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-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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
64
Single-page score
-59
Severe hidden bloat
Δ delta
Site-Wide ACRI
5
Avg across 10 pages · Range 0–54
🔍
Hidden Bloat Detected

Homepage scores 64, but internal pages average only 5 — a -59-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
310
Avg Bloat
9.9×
Page Type ACRI Token Bloat Words Status
https://fgz-risc.de/blog
FGZ-Blog
blog 54 98.9× 310
https://fgz-risc.de/pricing pricing 0 0.0× 0
https://fgz-risc.de/about about 0 0.0× 0
https://fgz-risc.de/products product 0 0.0× 0
https://fgz-risc.de/features product 0 0.0× 0
https://fgz-risc.de/docs docs 0 0.0× 0
https://fgz-risc.de/case-studies social-proof 0 0.0× 0
https://fgz-risc.de/contact support 0 0.0× 0
https://fgz-risc.de/faq support 0 0.0× 0
https://fgz-risc.de/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/contact/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 54 0% 98.9× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/docs/ 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 10 pages
wisskomm.social ×1
instagram.com ×1
fgzrisc.hypotheses.org ×1
youtube.com ×1
bsky.app ×1
bmbf.de ×1
de.linkedin.com ×1
cloud.intranet.fgz-risc.de ×1
🔄 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/fgz-risc.de

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

🔗 Similar news Sites

Domains with a similar tech stack, industry, and AI readiness profile to fgz-risc.de. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
fgz-risc.de (this site) 64 78 TYPO3 5.2× 1
hhla.de 78 81 TYPO3 2.6× 1 Compare →
ukw.de 77 80 TYPO3 1.6× 0 Compare →
uks.eu 75 80 TYPO3 10.0× 2 Compare →
medi.de 82 82 TYPO3 1.6× 4 Compare →
eurotopics.net 75 81 Drupal 5.0× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite fgz-risc.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 fgz-risc.de. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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 Fgz-risc?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Fgz-risc does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Fgz-risc work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Fgz-risc."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
78
Projected Score
84
Improvement
+6 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
🔍 Found indexing issues?
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