ecmwf.int 52 D
🛡️ SEO 35 🤖 GEO 58 ⚡ Perf 51 🏗️ Arch 64

ecmwf.int — Global SEODiff Score 52/100

ecmwf.int
📊

With a solid 69/100 ACRI, ecmwf.int is well-positioned for AI search — better than 64% of sites in the Radar. Compared to other infrastructure sites (avg score: 57), ecmwf.int performs above the benchmark, 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. Heavy markup overhead (29.3× bloat) forces AI systems to wade through excess code before finding useful information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

52
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (35) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (29×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 27 snapshots
Feb 22 Mar 18
🔔 Recent AI Indexing Activity
📈 Mar 13 ACRI +1 (42→43)
Does your site score higher than ecmwf.int?
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)35 × 0.25 = 8.8
🤖 AI Readiness / GEO (40% weight)58 × 0.40 = 23.2
⚡ Performance (20% weight)51 × 0.20 = 10.2
🏗️ Architecture & Trust (15% weight)64 × 0.15 = 9.6
Weighted sum = 8.8 + 23.2 + 10.2 + 9.6
Global SEODiff Score = 52 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
35
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #14056
+35 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

ecmwf.int 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 ecmwf.int ranks here

Tech stackDrupal
RenderingSSR
Schema coverage0 blocks
Token bloat29.3×

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

35/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

64 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

362 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 3
  • ✓ Has <h2> headings — found 14
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.ecmwf.int/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — ECMWF
  • ✓ og:description — Advancing global NWP through international collaboration
  • ✗ og:image
  • ✗ 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

58/100 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 →
ecmwf.int
43
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 35/100 — Low
Structured Elements 27 elements (19 lists, 8 rows, 0 headers)
Total Words714
Raw Density3.8%
💡Low structure score (35/100). Your content appears as a wall of text with few structured HTML elements. You have 19 list items, 8 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ 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

39
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability39/100 — AI models can barely extract answers from this page
Crawl CostHigh (80/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

3%
🗑️ 97%
Useful Content (20.9 KB)Bloat (589.5 KB)
Token Bloat Ratio29.3× — Heavy

Multimodal Readiness

Visual Context68% Optimized for Vision
Image Alt Coverage13 / 19 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 610.3 KB, but only 20.9 KB is text. 3% useful / 97% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (29.3×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 96.6% · SNR: 0.04 · Signal: 5338 / Noise: 150904 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 ecmwf.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
ECMWF provides global numerical weather predictions and meteorological data to its community.
Target Audience
Meteorologists, researchers, Member and Co-operating States, WMO programs
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Large supercomputer facility and meteorological data archive.
📊 Content Depth
3/10
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time1064 ms
Raw HTML Size610.3 KB
Visible Text Size20.9 KB

Performance & Speed

51/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1064 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

685
DOM nodes
610 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ 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

64/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

100
internal links
5
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 43/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for ecmwf.int
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/ecmwf.int" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ecmwf.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 141 pages · Deep-10

Homepage ACRI
43
Single-page score
+12
Subpages outperform homepage
Δ delta
Site-Wide ACRI
56
Avg across 141 pages · Range 0–90
Topical Cohesion
13%
Topical Drift
TF-IDF cosine similarity
Total Words
94763
Avg Bloat
42.8×
Page Type ACRI Token Bloat Words Status
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/jean-bidlot
Jean Bidlot | ECMWF
about 90 5.0× 3114
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/richard-forbes
Richard Forbes | ECMWF
about 90 4.8× 3323
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/angela-benedetti
Angela Benedetti | ECMWF
pricing 90 2.7× 7944 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/magdalena-alonso-balmaseda
Magdalena Alonso Balmaseda | ECMWF
pricing 90 4.1× 4338 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/francesca-di-giuseppe
Francesca Di Giuseppe | ECMWF
pricing 90 4.6× 3548 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/niels-bormann
Niels Bormann | ECMWF
pricing 90 4.7× 3364 💰 Pricing
https://www.ecmwf.int/en/about/what-we-do/serving-meteorology/working-wmo
Working with the WMO | ECMWF
about 85 8.6× 1365
https://www.ecmwf.int/en/about/media-centre/press-kit-bologna-host-ecmwfs-new-data-centre
Press kit: Bologna to host ECMWF's new data centre | ECMWF
pricing 85 7.2× 1778 💰 Pricing
https://www.ecmwf.int/en/about/what-we-do/calendar/calendar-archive
Calendar archive | ECMWF
pricing 85 7.7× 7158 💰 Pricing
https://www.ecmwf.int/en/about/what-we-do/serving-meteorology
Serving meteorology | ECMWF
pricing 85 8.8× 1608 💰 Pricing
https://www.ecmwf.int/en/about/jobs/employment-conditions/employment-conditions-and-benefits-staff-recruited-category-stf
Employment conditions and benefits for staff recruited on category STF-PL | ECMWF
about 85 8.9× 1216
https://www.ecmwf.int/en/about/jobs/employment-conditions/employment-conditions-and-benefits-staff-appointed-centres-core
Employment conditions and benefits for staff appointed to the Centre's core activities (STF-C) | ECMWF
about 85 9.0× 1220
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/estibaliz-gascon
Estibaliz Gascon | ECMWF
pricing 85 5.8× 2276 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/david-duncan
David Duncan | ECMWF
about 85 8.4× 1440
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/michael-rennie
Michael Rennie | ECMWF
about 85 9.0× 1226
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/sarah-jane-lock
Sarah-Jane Lock | ECMWF
about 85 9.0× 1272
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/peter-bechtold
Peter Bechtold | ECMWF
pricing 85 5.0× 2924 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/marcin-chrust
Marcin Chrust | ECMWF
pricing 85 8.7× 1318 💰 Pricing
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/frederic-vitart
Frederic Vitart | ECMWF
about 85 5.3× 2829
https://www.ecmwf.int/en/about/who-we-are/staff-profiles/massimo-bonavita
Massimo Bonavita | ECMWF
about 85 6.6× 1956
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
/en/ 132 60 0% 45.7× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 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
/pricing/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 141 pages
bsky.app ×131
instagram.com ×131
linkedin.com ×131
youtube.com ×131
events.ecmwf.int ×131
flickr.com ×131
status.ecmwf.int ×131
facebook.com ×131
🔄 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/ecmwf.int

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

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

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📊 Semantic Share of Voice

How often would an AI cite ecmwf.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 ecmwf.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": "Ecmwf",
  "url": "https://ecmwf.int",
  "logo": "https://ecmwf.int/sites/default/files/favicon.ico.production.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": "Ecmwf",
  "url": "https://ecmwf.int",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://ecmwf.int/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 3% 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 Ecmwf?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Ecmwf does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Ecmwf work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Ecmwf."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
69
Projected Score
87
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 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
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