ekoya.fr 74 B
🛡️ SEO 64 🤖 GEO 86 ⚡ Perf 62 🏗️ Arch 77

ekoya.fr — Global SEODiff Score 74/100

ekoya.fr
📊

ekoya.fr achieves a 84/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other social sites (avg score: 57), ekoya.fr 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 2.5×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

74
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (62) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)86 × 0.40 = 34.4
⚡ Performance (20% weight)62 × 0.20 = 12.4
🏗️ Architecture & Trust (15% weight)77 × 0.15 = 11.5
Weighted sum = 16.0 + 34.4 + 12.4 + 11.5
Global SEODiff Score = 74 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
79
Structure
avg 35
44
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #768241
-74 pts
Gap
AI (ACRI)
Top 2%
Score 84/100

ekoya.fr ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 2%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why ekoya.fr ranks here

Tech stackHubSpot CMS
Industrysocial
RenderingHybrid
Schema coverage2 blocks
Token bloat2.5×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

43 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

150 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Ekoya, le club de la communauté éducative
  • ✓ og:description — Le club Ekoya négocie pour vous des promotions exclusives sur les vacances, loisirs, maison, mode, véhicules pour un achat utile, malin et solidaire
  • ✓ 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

86/100 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 social sector, plodopitomnik-sad.by (ACRI: 89) 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 →
ekoya.fr
70
Your ACRI Score
89
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.by has schema coverage of 11 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)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 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 79/100 — Good
Structured Elements 125 elements (125 lists, 0 rows, 0 headers)
Total Words667
Raw Density18.7%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

79
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability79/100 — AI models can easily 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

40%
🗑️ 60%
Useful Content (35.8 KB)Bloat (52.2 KB)
Token Bloat Ratio2.5× — Lean

Multimodal Readiness

Visual Context3% Optimized for Vision
Image Alt Coverage2 / 67 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 3% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

62 Entropy
Fair Token Bloat: Medium
Noise Ratio: 59.3% · SNR: 0.69 · Signal: 9176 / Noise: 13360 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

FrameworkHubSpot CMS
AI-Readiness Score70/100
ServerApache
CDN
HTTP Status200
Load Time1640 ms
Raw HTML Size88.0 KB
Visible Text Size35.8 KB

Performance & Speed

62/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1640 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

642
DOM nodes
88 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, must-revalidate, private
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.com
📐 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

77/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → /sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

69
internal links
7
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-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 70/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
70
Single-page score
-16
Moderate hidden bloat
Δ delta
Site-Wide ACRI
54
Avg across 10 pages · Range 54–54
🔍
Hidden Bloat Detected

Homepage scores 70, but internal pages average only 54 — a -16-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
4400
Avg Bloat
41.0×
Ext. Citations
4
Page Type ACRI Token Bloat Words Status
https://ekoya.fr/pricing
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/about
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/products
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/features
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/docs
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/blog
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/case-studies
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/contact
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/faq
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
https://ekoya.fr/integrations
Ekoya, le club de la communauté éducative
pricing 54 41.0× 440 💰 Pricing
🔗
Outbound External Citations
4 unique external domains cited across 10 pages
instagram.com ×10
ambitions-educatives.org ×10
facebook.com ×10
assistance.ekoya.fr ×10
🔄 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/ekoya.fr

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

🔗 Similar social Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
ekoya.fr (this site) 70 84 HubSpot CMS 2.5× 2
hfcu.org 67 80 HubSpot CMS 3.5× 2 Compare →
qitec.de 69 82 HubSpot CMS 1.5× 1 Compare →
hbkworld.com 70 78 HubSpot CMS 2.3× 0 Compare →
paradigmadigital.com 67 77 HubSpot CMS 1.9× 3 Compare →
hungrrr.co.uk 63 80 HubSpot CMS 2.2× 2 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to ekoya.fr. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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 Ekoya?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Ekoya does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Ekoya work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Ekoya."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ekoya.fr:

Current Score
84
Projected Score
87
Improvement
+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