wmo.int 64 C
🛡️ SEO 24 🤖 GEO 82 ⚡ Perf 65 🏗️ Arch 78

wmo.int — Global SEODiff Score 64/100

wmo.int
📊

wmo.int shows strong AI visibility with an ACRI of 77/100, outperforming 86% of indexed domains. Compared to other infrastructure sites (avg score: 57), wmo.int performs above the benchmark, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The token bloat ratio sits at a lean 4.8×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

64
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (24) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 28 snapshots
Feb 22 Mar 15
🔔 Recent AI Indexing Activity
🔄 Mar 15 Content change detected
Does your site score higher than wmo.int?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)24 × 0.25 = 6.0
🤖 AI Readiness / GEO (40% weight)82 × 0.40 = 32.8
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)78 × 0.15 = 11.7
Weighted sum = 6.0 + 32.8 + 13.0 + 11.7
Global SEODiff Score = 64 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
74
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.7%
Rank #6808
+14 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

wmo.int shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why wmo.int ranks here

Tech stackDrupal
RenderingSSR
Schema coverage0 blocks
Token bloat4.8×

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

24/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

48 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

187 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 5
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — World Meteorological Organization
  • ✓ og:description — A specialized agency of the United Nations whose mandate covers weather, climate and water resources. The UN’s scientific voice on the state and behaviour of our atmosphere and climate.
  • ✓ 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

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 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 →
wmo.int
62
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 74/100 — Good
Structured Elements 106 elements (106 lists, 0 rows, 0 headers)
Total Words641
Raw Density16.5%

🏷️ 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

67
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability67/100 — 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

20%
🗑️ 80%
Useful Content (30.9 KB)Bloat (118.8 KB)
Token Bloat Ratio4.8× — Lean

Multimodal Readiness

Visual Context89% Optimized for Vision
Image Alt Coverage24 / 27 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

5 Entropy
Poor Token Bloat: High
Noise Ratio: 79.4% · SNR: 0.26 · Signal: 7906 / Noise: 30406 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 wmo.int 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 WMO CCl Extreme Weather and Climate Archive maintains a world archive for verifying, certifying, and storing world weather extremes.
Target Audience
Meteorologists, climate scientists, researchers, and governmental agencies involved in weather data analysis.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Provides a centralized, verified, and authoritative source for extreme weather records, addressing a critical gap in existing data.
📊 Content Depth
6/10
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time629 ms
Raw HTML Size149.7 KB
Visible Text Size30.9 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

629 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

854
DOM nodes
150 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=1800, 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

78/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

127
internal links
15
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 62/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for wmo.int
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/wmo.int" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=wmo.int" 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 1008 pages · Deep-10

Homepage ACRI
62
Single-page score
-27
Severe hidden bloat
Δ delta
Site-Wide ACRI
36
Avg across 1008 pages · Range 0–64
🔍
Hidden Bloat Detected

Homepage scores 62, but internal pages average only 36 — a -27-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
154227
Avg Bloat
337.1×
RAG Fractures [?]
57
⚠️
57 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 57 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://wmo.int/site/global-climate-observing-system-gcos/essential-climate-variables/upper-air-wind-speed-and-direction
Upper-air Wind Speed and Direction
pricing 64 18.9× 1118 ⚠️ RAG Fracture
https://wmo.int/ru/jobs/wmo-internships
Стажировка в ВМО | Всемирная Метеорологическая Организация
careers 62 36.2× 666
https://wmo.int/resources/wmo-fact-sheets/tropical-cyclone-naming
Tropical cyclone naming
blog 59 41.6× 601
https://wmo.int/resources/documents/global-seasonal-climate-update
Global Seasonal Climate Update
blog 59 36.8× 733
https://wmo.int/resources/campaigns/world-meteorological-day/wmo-2025-calendar-competition
WMO 2025 Calendar Competition
pricing 59 30.1× 774 💰 Pricing
https://wmo.int/es/jobs/wmo-internships
Pasantías en la Organización Meteorológica Mundial | Organización Meteorológica Mundial
careers 59 25.2× 916
https://wmo.int/fr/jobs/wmo-internships
Stages à l'OMM | Organisation Météorologique Mondiale
careers 59 25.8× 902
https://wmo.int/ar/jobs
المنظمة العالمية للأرصاد الجوية | العمل في المنظمة العالمية للأرصاد الجوية
careers 59 46.6× 534
https://wmo.int/jobs/wmo-internships
WMO Internships
pricing 59 30.1× 756 💰 Pricing
https://wmo.int/fr/jobs
Emplois | Organisation Météorologique Mondiale
careers 59 41.5× 587
https://wmo.int/es/jobs
Empleos en la Organización Meteorológica Mundial | Organización Meteorológica Mundial
pricing 59 37.5× 649 💰 Pricing
https://wmo.int/ar/jobs/professional-staff
المنظمة العالمية للأرصاد الجوية | موظفو الفئة الفنية
careers 59 39.1× 598
https://wmo.int/fr/jobs/professional-staff
Administrateurs | Organisation Météorologique Mondiale
careers 59 38.9× 589
https://wmo.int/es/jobs/professional-staff
Personal del Cuadro Orgánico | Organización Meteorológica Mundial
pricing 59 33.7× 676 💰 Pricing
https://wmo.int/ar/jobs/wmo-internships
المنظمة العالمية للأرصاد الجوية | التدريب الداخلي بالمنظمة
careers 59 34.6× 684
https://wmo.int/jobs/professional-staff
Professional Staff
careers 59 43.7× 514
https://wmo.int/site/global-climate-observing-system-gcos/essential-climate-variables/groundwater
Groundwater
pricing 59 37.6× 506 ⚠️ RAG Fracture
https://wmo.int/site/global-climate-observing-system-gcos/essential-climate-variables/lakes
Lakes
pricing 59 36.6× 540 ⚠️ RAG Fracture
https://wmo.int/site/global-climate-observing-system-gcos/essential-climate-variables/ice-sheets-and-ice-shelves
Ice Sheets and Ice Shelves
pricing 59 37.8× 516 ⚠️ RAG Fracture
https://wmo.int/site/global-climate-observing-system-gcos/essential-climate-variables/permafrost
Permafrost
pricing 59 31.4× 628 ⚠️ 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
/events/ 160 38 0% 342.5× High JS Bloat
/site/ 66 53 0% 45.9× High JS Bloat
/activities/ 49 48 0% 74.2× High JS Bloat
/resources/ 45 42 0% 147.9× High JS Bloat
/es/ 38 42 0% 131.2× High JS Bloat
/fr/ 37 42 0% 134.9× High JS Bloat
/ru/ 36 42 0% 160.3× High JS Bloat
/ar/ 34 43 0% 138.8× High JS Bloat
/zh-hans/ 28 39 0% 222.0× High JS Bloat
/jobs/ 5 51 0% 60.4× High JS Bloat
/content/ 1 46 0% 91.3× High JS Bloat
/contact/ 1 36 0% 737.3× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1008 pages
wmo.hintbox.ch ×996
flickr.com ×933
linkedin.com ×933
instagram.com ×933
youtube.com ×933
facebook.com ×933
twitter.com ×933
library.wmo.int ×141
🔄 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/wmo.int

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
wmo.int (this site) 62 77 Drupal 4.8× 0
profitserver.ru 86 90 WordPress 3.8× 2 Compare →
profitserver.net 86 90 WordPress 3.8× 2 Compare →
driphydration.com 86 95 WordPress 1.9× 2 Compare →
cashgenerator.co.uk 85 89 Shopify 3.0× 3 Compare →
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📊 Semantic Share of Voice

How often would an AI cite wmo.int 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 wmo.int. 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": "Wmo",
  "url": "https://wmo.int",
  "logo": "https://wmo.int/themes/custom/server_theme/dist/images/favicons//apple-touch-icon.png",
  "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": "Wmo",
  "url": "https://wmo.int",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://wmo.int/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 Wmo?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Wmo does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Wmo work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Wmo."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for wmo.int:

Current Score
77
Projected Score
93
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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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