ungeneva.org 54 D
🛡️ SEO 0 🤖 GEO 78 ⚡ Perf 62 🏗️ Arch 68

ungeneva.org — Global SEODiff Score 54/100

ungeneva.org
📊

At 70/100, the ACRI for ungeneva.org indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the infrastructure sector, ungeneva.org 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 tight 3.4× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

54
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (0) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 19 snapshots
Feb 22 Mar 16
🔔 Recent AI Indexing Activity
📉 Mar 16 ACRI -1 (53→52)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)0 × 0.25 = 0.0
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)68 × 0.15 = 10.2
Weighted sum = 0.0 + 31.2 + 12.4 + 10.2
Global SEODiff Score = 54 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
41
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 8%
Rank #81589
+25 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

ungeneva.org 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 ungeneva.org ranks here

Tech stackDrupal
RenderingSSR
Schema coverage0 blocks
Token bloat3.4×

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

0/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

46 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 4
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Homepage | The United Nations Office at Geneva
  • ✗ og:description
  • ✓ og:image — preview
  • ✗ twitter:card
📐 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

78/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
ungeneva.org
52
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 41/100 — Fair
Structured Elements 52 elements (52 lists, 0 rows, 0 headers)
Total Words1033
Raw Density5.0%

🏷️ 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

57
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability57/100 — 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

29%
🗑️ 71%
Useful Content (19.0 KB)Bloat (45.5 KB)
Token Bloat Ratio3.4× — Lean

Multimodal Readiness

Visual Context31% Optimized for Vision
Image Alt Coverage9 / 29 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 31% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

40 Entropy
Poor Token Bloat: High
Noise Ratio: 70.5% · SNR: 0.42 · Signal: 4868 / Noise: 11651 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 ungeneva.org 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 United Nations’ Compensation Claims Unit provides financial and medical support to UN staff and their dependents who suffer from
Target Audience
UN staff members, dependents, and HR officers within the United Nations system and other international organizations.
Pricing Model
No pricing model explicitly stated. Claims are assessed based on eligibility and documented service-related incidents.
🛡️ Compliance Standards
Appendix D to the Staff Rules
🏆 Competitive Moat
The UN’s established framework and the Advisory Board on Compensation Claims provide a robust and complex process for evaluating claims, creating a significant barrier to entry.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
e-formmedical expenses e-formAppendix D to the Staff Rules
⚡ Key Pain Points
• Complex claim process with multiple review stages
• Limited eligibility criteria (e.g., pre-existing conditions)
• Strict deadlines for filing claims (one year)
• Potential for claims to be rejected due to misconduct or failure to follow security guidelines
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time1335 ms
Raw HTML Size64.5 KB
Visible Text Size19.0 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1335 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

626
DOM nodes
64 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=900, public
  • ✗ 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

68/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

87
internal links
14
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 → en
  • ✓ 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 52/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for ungeneva.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/ungeneva.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ungeneva.org" 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 52 pages · Deep-10

Homepage ACRI
52
Single-page score
-10
Moderate hidden bloat
Δ delta
Site-Wide ACRI
42
Avg across 52 pages · Range 0–77
Topical Cohesion
6%
Topical Drift
TF-IDF cosine similarity
Total Words
17214
Avg Bloat
33.7×
Page Type ACRI Token Bloat Words Status
https://www.ungeneva.org/en/about/coordination-support/compensation-claims
Compensation Claims | The United Nations Office at Geneva
about 77 7.4× 1825
https://www.ungeneva.org/en/about/topics/innovation-technology
Innovation and Technology | The United Nations Office at Geneva
pricing 77 7.2× 2018 💰 Pricing
https://www.ungeneva.org/en/about/security
Security Information | The United Nations Office at Geneva
pricing 67 14.7× 597 💰 Pricing
https://www.ungeneva.org/en/about/careers
Careers | The United Nations Office at Geneva
pricing 67 16.7× 560 💰 Pricing
https://www.ungeneva.org/en/about/who-we-are
Who we are | The United Nations Office at Geneva
about 67 13.6× 760
https://www.ungeneva.org/en/about/director-general/biography-mandate
Biography and mandate | The United Nations Office at Geneva
pricing 67 10.6× 841 💰 Pricing
https://www.ungeneva.org/en/about/director-general/UN-Geneva-leadership/division-of-administration-senior-staff
Division of Administration senior staff | The United Nations Office at Geneva
pricing 67 10.3× 885 💰 Pricing
https://www.ungeneva.org/en/about/director-general/UN-Geneva-leadership/strategic-heritage-plan-senior-staff
Strategic Heritage Plan senior staff | The United Nations Office at Geneva
pricing 67 16.1× 513 💰 Pricing
https://ungeneva.org/about
About | The United Nations Office at Geneva
about 67 16.0× 592
https://www.ungeneva.org/en/about/palais-des-nations
Palais des Nations | The United Nations Office at Geneva
pricing 64 17.0× 629 💰 Pricing
https://www.ungeneva.org/en/about/director-general/UN-Geneva-leadership/division-of-conference-management-senior-staff
Division of Conference Management senior staff | The United Nations Office at Geneva
pricing 57 16.9× 492 💰 Pricing
https://www.ungeneva.org/en/about/director-general/multilingualism/french-language-day
French Language Day | The United Nations Office at Geneva
about 49 25.0× 359
https://www.ungeneva.org/en/about/director-general/multilingualism/english-language-day
English Language Day | The United Nations Office at Geneva
about 49 20.5× 408
https://www.ungeneva.org/en/about/coordination-support/procurement
Procurement | The United Nations Office at Geneva
pricing 49 22.8× 419 💰 Pricing
https://www.ungeneva.org/en/about/coordination-support/procurement/CPAG
CPAG | The United Nations Office at Geneva
about 49 31.3× 282
https://www.ungeneva.org/en/about/organizations/unicef
UNICEF | The United Nations Office at Geneva
about 49 37.5× 213
https://www.ungeneva.org/en/about/director-general/multilingualism/chinese-language-day
Chinese Language Day | The United Nations Office at Geneva
about 49 20.4× 409
https://www.ungeneva.org/en/about/director-general/multilingualism/spanish-language-day
Spanish Language Day | The United Nations Office at Geneva
about 49 20.3× 429
https://www.ungeneva.org/en/about/director-general/multilingualism/russian-language-day
Russian Language Day | The United Nations Office at Geneva
about 49 25.6× 320
https://www.ungeneva.org/en/about/director-general/multilingualism/arabic-language-day
Arabic Language Day | The United Nations Office at Geneva
about 49 22.5× 369
Showing 20 of 52 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
/en/ 42 49 0% 37.9× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 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
/about/ 1 67 0% 16.0× High JS Bloat
/contact/ 1 39 0% 83.3× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 39 0% 63.0× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 52 pages
twitter.com ×45
linkedin.com ×45
flickr.com ×45
youtube.com ×45
un.org ×45
facebook.com ×45
instagram.com ×45
museum.ungeneva.org ×45
🔄 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/ungeneva.org

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ungeneva.org:

Current Score
70
Projected Score
83
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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