nluug.nl 76 B
🛡️ SEO 64 🤖 GEO 73 ⚡ Perf 80 🏗️ Arch 100

nluug.nl — Global SEODiff Score 76/100

nluug.nl
📊

nluug.nl achieves a 73/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the developer vertical, this places nluug.nl above the industry average of 57 —, suggesting strong competitive positioning in AI search. The low ghost ratio (10%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The 14.2× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Rich structured data (4 schema blocks) gives AI systems strong semantic signals for entity recognition and knowledge graph inclusion. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

76
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (64) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 9 snapshots
Feb 23 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 18 Content change detected
🔄 Mar 16 Content change detected
Does your site score higher than nluug.nl?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)73 × 0.40 = 29.2
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 16.0 + 29.2 + 16.0 + 15.0
Global SEODiff Score = 76 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
63
Structure
avg 35
8
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 8%
Rank #83251
+17 pts
Gap
AI (ACRI)
Top 25%
Score 73/100

nluug.nl 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 nluug.nl ranks here

Tech stackCustom / Proprietary
Industrydeveloper
RenderingHybrid
Schema coverage4 blocks
Token bloat14.2×

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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

5 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

105 chars
Too short

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 → https://nluug.nl/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → nl
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — NLUUG
  • ✓ og:description — De website van de NLUUG, de vereniging van professionele gebruikers van open systemen en open standaarden
  • ✓ 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

73/100 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 →
nluug.nl
58
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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 63/100 — Good
Structured Elements 37 elements (37 lists, 0 rows, 0 headers)
Total Words306
Raw Density12.1%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks4 blocks

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

52
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability52/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

7%
🗑️ 93%
Useful Content (2.2 KB)Bloat (29.3 KB)
Token Bloat Ratio14.2× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage17 / 17 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: 93.0% · SNR: 0.08 · Signal: 568 / Noise: 7503 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 nluug.nl 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
This presentation explores strategies to combat AI bot scraping, addressing the growing problem of content theft and the associated costs for website owners.
Target Audience
Content creators, website owners, cybersecurity professionals, AI researchers
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Deep understanding of AI bot behavior and mitigation techniques.
📊 Content Depth
6/10
⚡ Key Pain Points
• Website content being scraped without consent
• Overhead costs associated with AI bot scrapers
• Lack of effective defenses against AI bots
• Difficulty distinguishing between human and AI-generated content
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time602 ms
Raw HTML Size31.5 KB
Visible Text Size2.2 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

602 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

265
DOM nodes
32 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache
  • ✗ 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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://nluug.nl/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

46
internal links
13
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 → nl
  • ✓ 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 58/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for nluug.nl
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/nluug.nl" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=nluug.nl" 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 53 pages · Deep-10

Homepage ACRI
58
Single-page score
-17
Moderate hidden bloat
Δ delta
Site-Wide ACRI
42
Avg across 53 pages · Range 0–75
🔍
Hidden Bloat Detected

Homepage scores 58, but internal pages average only 42 — a -17-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
7754
Avg Bloat
39.2×
Page Type ACRI Token Bloat Words Status
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/cheryl-andrea-traffic-at-3am/
Cheryl Andrea - Traffic at 3am? | NLUUG
other 75 10.7× 606
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/joost-grunwald-beyond-the-prompt-architecting-agentic-llms-for-autonomous-security-testing/
Joost Grunwald - Beyond the Prompt: Architecting Agentic LLMs for Autonomous Security Testing | NLUUG
trust 62 18.8× 342
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/albert-witteveen-librelivre-nl-pdf-to-epub-conversion-on-a-gtx-970/
Albert Witteveen - Librelivre.nl PDF to Epub conversion on a GTX 970 | NLUUG
other 62 17.8× 360
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/oscar-koeroo-post-quantum-crypto-a-current-state-of-affairs/
Oscar Koeroo - Post quantum crypto: a current state of affairs | NLUUG
other 62 17.2× 359
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/erik-mols-one-lomiri-to-rule-all/
Erik Mols - One Lomiri to rule all | NLUUG
other 62 17.0× 375
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/frank-breedijk-frank-talks-ai-keynote-style/
Frank Breedijk - Frank talks AI, keynote style | NLUUG
other 62 17.2× 355
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/michael-boelen-linux-speedrun-systemd/
Michael Boelen - Linux speedrun: systemd | NLUUG
other 57 20.2× 308
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/kris-buytaert-bow-for-me-for-i-am-coroot/
Kris Buytaert - Bow for me, for I am Coroot | NLUUG
other 57 21.3× 285
https://nluug.nl/evenementen/nluug/voorjaarsconferentie-2026/
NLUUG voorjaarsconferentie 2026 | NLUUG
other 57 28.6× 209
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/aivd-de-paradox-van-informatiebeveiliging-in-zeer-hoog-beveiligde-air-gapped-it-landschap/
Algemene Inlichtingen- en Veiligheidsdienst - De paradox van informatiebeveiliging in zeer hoog beveiligde air-gapped IT landschap | NLUUG
other 57 20.2× 312
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/vitaly-wool-moving-kernel-swapping-infrastructure-to-rust/
Vitaly Wool - Moving kernel swapping infrastructure to Rust | NLUUG
other 57 22.2× 278
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/kristof-provost-a-packets-journey-through-pf/
Kristof Provost - A packet's journey through pf | NLUUG
other 57 26.9× 224
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/marcel-van-der-velde-maar-we-doen-al-phishing-tests-hoor/
Marcel van der Velde - Maar we dóen al phishing tests hoor! | NLUUG
other 57 29.5× 207
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/riccardo-stagni-ipv6-are-we-there-yet-no-are-we-moving-mostly/
Riccardo Stagni - IPv6 - Are we there yet? No. Are we moving? Mostly | NLUUG
other 57 20.4× 300
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/alex-hoyau-less-maintenance-more-freedom-rethinking-website-production-with-silex-and-wordpress/
Alex Hoyau - Less Maintenance, More Freedom: Rethinking website production with Silex and WordPress | NLUUG
product 57 26.0× 237
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/joost-van-dijk-openssh-fido/
Joost van Dijk - OpenSSH + FIDO | NLUUG
other 57 22.8× 274
https://nluug.nl/contact
Contact | NLUUG
support 47 33.2× 166
https://nluug.nl/contact/
Contact | NLUUG
support 47 33.2× 166
https://nluug.nl/evenementen/sprekers/marcel-van-der-velde/
Marcel van der Velde | NLUUG
other 47 35.4× 162
https://nluug.nl/evenementen/nluug/najaarsconferentie-2025/talks/ewald-beekman-ai-tips-tricks-and-demos/
Ewald Beekman - AI Tips, Tricks & Demo's | NLUUG
conversion 47 31.4× 187
Showing 20 of 53 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
/evenementen/ 41 50 0% 48.4× High JS Bloat
/contact/ 2 47 0% 33.2× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/nieuws/ 1 47 0% 28.3× High JS Bloat
/case-studies/ 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
/docs/ 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
/blog/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 53 pages
usn.nl ×44
clickhere.nl ×44
github.com ×44
leden.nluug.nl ×44
xifeo.nl ×44
ru.nl ×44
nluug.social ×44
archief-website.nluug.nl ×44
🔄 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/nluug.nl

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

🔗 Similar developer Sites

Domains with a similar tech stack, industry, and AI readiness profile to nluug.nl. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
nluug.nl (this site) 58 73 Custom / Proprietary 14.2× 4
veiligheids-sloten.nl 82 86 Custom / Proprietary 2.9× 3 Compare →
narva.com.au 82 94 Custom / Proprietary 5.7× 7 Compare →
ivymoda.com 83 87 Custom / Proprietary 2.2× 3 Compare →
emaaza.com.tr 82 86 Custom / Proprietary 2.7× 2 Compare →
nieuwnieuw.com 82 86 Custom / Proprietary 2.5× 2 Compare →
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📊 Semantic Share of Voice

How often would an AI cite nluug.nl 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 nluug.nl. 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": "Nluug",
  "url": "https://nluug.nl",
  "logo": "https://nluug.nl/afbeeldingen/logo/nluug-logo-mono.svg",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 7% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Nluug?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Nluug does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Nluug work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Nluug."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for nluug.nl:

Current Score
73
Projected Score
87
Improvement
+14 pts
Add Organization schema +6 pts
Reduce token bloat +5 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?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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