dunod.com 57 D
🛡️ SEO 41 🤖 GEO 62 ⚡ Perf 46 🏗️ Arch 86

dunod.com — Global SEODiff Score 57/100

dunod.com
📊

At 62/100, dunod.com falls in the moderate bracket of AI-Readiness, suggesting its content is partially accessible to AI systems but not fully optimized. Within the ecommerce vertical, this places dunod.com above the industry average of 58 —, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. Token bloat registers at 10.7× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Partial bot access means the domain is visible to some AI systems but not accessible to others — GPTBot remain blocked.

57
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (41) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
📈 ACRI Trend 16 snapshots
Feb 22 Feb 28
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than dunod.com?
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)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)62 × 0.40 = 24.8
⚡ Performance (20% weight)46 × 0.20 = 9.2
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 10.2 + 24.8 + 9.2 + 12.9
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
80
Bot Access
avg 92
100
Rendering
avg 93
31
Structure
avg 36
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #72160
+42 pts
Gap
AI (ACRI)
Top 49%
Score 62/100

dunod.com 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 dunod.com ranks here

Tech stackDrupal
Industryecommerce
RenderingSSR
Schema coverage0 blocks
Token bloat10.7×

Fastest improvements

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

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

137 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

162 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 18
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Livres en sciences et techniques, entreprise et économie, sciences humaines et sociales, prépas et concours, culture et loisirs - Dunod
  • ✓ og:description — Dunod Editions. Edition de livres de savoirs pour étudiants, professionnels, amateurs en entreprise, sciences, techniques, informatique, psy, bien-être et loisirs.
  • ✗ og:image
  • ✓ 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

62/100 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 ecommerce sector, stylekorean.com (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 →
dunod.com
45
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. stylekorean.com has schema coverage of 4 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)
Blocked
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 31/100 — Low
Structured Elements 130 elements (130 lists, 0 rows, 0 headers)
Total Words4377
Raw Density3.0%
💡Low structure score (31/100). Your content appears as a wall of text with few structured HTML elements. You have 130 list items, 0 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

44
AI Extractability
Medium
Crawl Cost
Low
Blocklist Risk
Extractability44/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskLow — 1 of 5 AI crawlers blocked

Token Bloat Research

9%
🗑️ 91%
Useful Content (35.1 KB)Bloat (339.3 KB)
Token Bloat Ratio10.7× — Normal

Multimodal Readiness

Visual Context98% Optimized for Vision
Image Alt Coverage144 / 147 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: 90.6% · SNR: 0.10 · Signal: 8981 / Noise: 86866 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…

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
ServerApache
CDN
HTTP Status200
Load Time829 ms
Raw HTML Size374.4 KB
Visible Text Size35.1 KB

Performance & Speed

46/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

829 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

4055
DOM nodes
374 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=21600
  • ✗ 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

389
internal links
32
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 → fr
  • ✓ 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 45/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for dunod.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/dunod.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=dunod.com" 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 51 pages · Deep-10

Homepage ACRI
45
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
45
Avg across 51 pages · Range 44–57
Topical Cohesion
10%
Topical Drift
TF-IDF cosine similarity
Total Words
6755
Avg Bloat
183.2×
RAG Fractures [?]
2
⚠️
2 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.dunod.com/livres-annette-becker
Livres de Annette Becker : bibliographie - Dunod
pricing 57 95.0× 234 💰 Pricing
https://www.dunod.com/livres-francois-bernard-huyghe
Livres de François-Bernard Huyghe : bibliographie - Dunod
pricing 57 98.6× 220 💰 Pricing
https://www.dunod.com/livres-jean-pierre-luminet
Livres de Jean-Pierre Luminet : bibliographie - Dunod
pricing 57 99.5× 243 💰 Pricing
https://www.dunod.com/livres-henri-froment-meurice
Livres de Henri Froment-Meurice : bibliographie - Dunod
pricing 57 104.0× 219 💰 Pricing
https://www.dunod.com/livres-jean-louis-chiss
Livres de Jean-Louis Chiss : bibliographie - Dunod
pricing 47 118.2× 193 💰 Pricing
https://www.dunod.com/livres-robert-fossier
Livres de Robert Fossier : bibliographie - Dunod
pricing 44 196.8× 112 💰 Pricing
https://www.dunod.com/livres-alain-ducellier
Livres de Alain Ducellier : bibliographie - Dunod
pricing 44 213.5× 102 💰 Pricing
https://www.dunod.com/livres-michel-henry
Livres de Michel Henry : bibliographie - Dunod
pricing 44 170.7× 132 💰 Pricing
https://www.dunod.com/livres-michel-kaplan
Livres de Michel Kaplan : bibliographie - Dunod
pricing 44 195.4× 108 💰 Pricing
https://www.dunod.com/livres-francoise-ruze
Livres de Françoise Ruzé : bibliographie - Dunod
pricing 44 177.6× 122 💰 Pricing
https://www.dunod.com/livres-dominique-maingueneau
Livres de Dominique Maingueneau : bibliographie - Dunod
pricing 44 164.6× 146 💰 Pricing
https://www.dunod.com/livres-joseph-courtes
Livres de Joseph Courtés : bibliographie - Dunod
pricing 44 237.5× 88 💰 Pricing
https://www.dunod.com/livres-pierre-peycru
Livres de Pierre Peycru : bibliographie - Dunod
pricing 44 153.1× 147 💰 Pricing
https://www.dunod.com/livres-daniel-richard
Livres de Daniel Richard : bibliographie - Dunod
pricing 44 173.1× 149 💰 Pricing
https://www.dunod.com/livres-philippe-breton
Livres de Philippe Breton : bibliographie - Dunod
pricing 44 217.7× 98 💰 Pricing
https://www.dunod.com/livres-claude-delmas
Livres de Claude Delmas : bibliographie - Dunod
pricing 44 223.0× 96 💰 Pricing
https://www.dunod.com/livres-henri-chabrol
Livres de Henri Chabrol : bibliographie - Dunod
pricing 44 174.5× 128 💰 Pricing
https://www.dunod.com/livres-anne-laure-brisac
Livres de Anne-Laure Brisac : bibliographie - Dunod
pricing 44 197.3× 109 💰 Pricing
https://www.dunod.com/livres-alain-laurent
Livres de Alain Laurent : bibliographie - Dunod
pricing 44 235.6× 90 💰 Pricing
https://www.dunod.com/livres-bruno-blanckeman
Livres de Bruno Blanckeman : bibliographie - Dunod
pricing 44 204.8× 103 💰 Pricing
Showing 20 of 51 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
/livres-jean-francois-sirinelli/ 1 44 0% 150.4× High JS Bloat
/livres-france-farago/ 1 44 0% 160.3× High JS Bloat
/livres-jacqueline-beaujeu-garnier/ 1 44 0% 248.5× High JS Bloat
/livres-olivier-dard/ 1 44 0% 204.6× High JS Bloat
/livres-michel-kaplan/ 1 44 0% 195.4× High JS Bloat
/livres-francoise-ruze/ 1 44 0% 177.6× High JS Bloat
/livres-nicolas-werth/ 1 44 0% 186.6× High JS Bloat
/livres-pierre-baret/ 1 44 0% 133.8× High JS Bloat
/livres-frederic-monier/ 1 44 0% 175.8× High JS Bloat
/livres-marie-francoise-baslez/ 1 44 0% 135.6× High JS Bloat
/livres-jean-dugue/ 1 44 0% 175.2× High JS Bloat
/livres-jean-pierre-luminet/ 1 57 0% 99.5× High JS Bloat
/livres-patrick-besson/ 1 44 0% 185.7× High JS Bloat
/livres-patrick-weber/ 1 44 0% 241.1× High JS Bloat
/livres-francois-bernard-huyghe/ 1 57 0% 98.6× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 51 pages
enseignants.dunod.com ×51
instagram.com ×51
dunod-formation.com ×51
youtube.com ×51
revues.armand-colin.com ×51
mercator.fr ×51
twitter.com ×51
expert-sup.com ×51
🔄 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/dunod.com

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 dunod.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
dunod.com (this site) 45 62 Drupal 10.7× 0
insa-rouen.fr 70 80 Drupal 4.8× 0 Compare →
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krashimitra.com 70 86 WordPress 11.5× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite dunod.com 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 dunod.com. 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": "Dunod",
  "url": "https://dunod.com",
  "logo": "https://www.dunod.com/sites/all/themes/dunod/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": "Dunod",
  "url": "https://dunod.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://dunod.com/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 9% 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 Dunod?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Dunod does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Dunod work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Dunod."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for dunod.com:

Current Score
62
Projected Score
88
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