elmundo.es 51 D
🛡️ SEO 50 🤖 GEO 48 ⚡ Perf 52 🏗️ Arch 61

elmundo.es — Global SEODiff Score 51/100

elmundo.es
📊

The AI-Readiness score for elmundo.es is 54/100 — a middling result that leaves significant room to climb the Radar rankings. In the infrastructure sector, elmundo.es underperforms relative to the average (57), indicating room for competitive improvement. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The bloated 21.8× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Most AI crawlers are restricted by robots.txt, limiting how AI-powered search engines can index and surface this content.

51
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — AI Readiness (48) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (22×) → +5–10 pts
⚠️ Crawl Blocked: Fetch failed (network timeout / connection error)
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
📈 ACRI Trend 28 snapshots
Feb 21 Feb 28
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)48 × 0.40 = 19.2
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)61 × 0.15 = 9.2
Weighted sum = 12.5 + 19.2 + 10.4 + 9.2
Global SEODiff Score = 51 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
40
Bot Access
avg 92
97
Rendering
avg 93
63
Structure
avg 36
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.1%
Rank #956
+58 pts
Gap
AI (ACRI)
Top 58%
Score 54/100

elmundo.es 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 elmundo.es ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage1 blocks
Token bloat21.8×

Fastest improvements

  • Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
  • 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…

⚠️ Crawl Failed: Anti-Bot Protection Detected

Fetch failed (network timeout / connection error)

The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.

🛡️

Traditional SEO

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

62 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

117 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 54
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — EL MUNDO - Diario online l�der de informaci�n en espa�ol
  • ✓ og:description — Noticias, actualidad, �lbumes, debates, sociedad, servicios, entretenimiento y �ltima hora en Espa�a y el mundo
  • ✓ 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

48/100 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, plodopitomnik-sad.ru (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 →
elmundo.es
28
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 blocks and uses Express. 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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Blocked
Google-Extended
Blocked
Googlebot
Allowed
💡GPTBot is blocked. To appear in ChatGPT citations, add Allow: / under User-agent: GPTBot in your robots.txt.

👻 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 337 elements (337 lists, 0 rows, 0 headers)
Total Words2828
Raw Density11.9%

🏷️ Schema Health Docs

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

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

48
AI Extractability
High
Crawl Cost
High
Blocklist Risk
Extractability48/100 — AI models can partially extract answers from this page
Crawl CostHigh (75/100) — expensive for AI crawlers to process
Blocklist RiskHigh — 3 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (20.8 KB)Bloat (433.1 KB)
Token Bloat Ratio21.8× — Heavy

Multimodal Readiness

Visual Context49% Optimized for Vision
Image Alt Coverage19 / 39 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 453.9 KB, but only 20.8 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (21.8×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 49% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 95.4% · SNR: 0.05 · Signal: 5318 / Noise: 110874 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of elmundo.es 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
EL MUNDO provides online news and information in Spanish, including articles, photos, and interactive games.
Target Audience
News readers, Spanish language learners, users seeking daily challenges.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Daily news and interactive word games focused on Spanish language learners.
📊 Content Depth
3/10
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time541 ms
Raw HTML Size453.9 KB
Visible Text Size20.8 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

541 ms
Acceptable — room for improvement

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

📦 Page Weight

2641
DOM nodes
454 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → s-maxage=60
  • ✗ 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

61/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

427
internal links
26
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 → es
  • ✓ 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 is currently blocking AI crawlers. Unblock them and rescan to earn your AI-Verified badge.

AI-Verified badge for elmundo.es
Unverified — crawl access is blocked
<a href="https://seodiff.io/radar/domains/elmundo.es" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=elmundo.es" 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.

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
elmundo.es (this site) 28 54 Custom / Proprietary 21.8× 1
vogel-system.de 53 69 Custom / Proprietary 11.0× 0 Compare →
spectral.veka.ru 53 72 Custom / Proprietary 8.5× 0 Compare →
marketing.hu 53 73 Custom / Proprietary 2.5× 1 Compare →
transfermarkt.mx 53 15 Custom / Proprietary 5.0× 1 Compare →
bolivie.campusfrance.org 53 71 Custom / Proprietary 5.8× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite elmundo.es 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 elmundo.es. 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": "Elmundo",
  "url": "https://elmundo.es",
  "logo": "https://www.elmundo.es/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": "Elmundo",
  "url": "https://elmundo.es",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://elmundo.es/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Allow GPTBot in robots.txt
High Impact ⏱ 2 min
GPTBot is blocked — your content cannot appear in ChatGPT citations. Add this to your robots.txt:
text
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 4% 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 Elmundo?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Elmundo does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Elmundo work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Elmundo."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for elmundo.es:

Current Score
54
Projected Score
80
Improvement
+26 pts
Allow GPTBot +8 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