next-up.org 73 B
🛡️ SEO 84 🤖 GEO 78 ⚡ Perf 65 🏗️ Arch 52

next-up.org — Global SEODiff Score 73/100

next-up.org
📊

At 74/100, the ACRI for next-up.org indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places next-up.org above the industry average of 57 —, 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. With a 1.6× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. With 5 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Architecture (52) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 1 Mar 17
🔔 Recent AI Indexing Activity
🔄 Mar 11 Content change detected
Does your site score higher than next-up.org?
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)84 × 0.25 = 21.0
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)65 × 0.20 = 13.0
🏗️ Architecture & Trust (15% weight)52 × 0.15 = 7.8
Weighted sum = 21.0 + 31.2 + 13.0 + 7.8
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
20
Structure
avg 35
50
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #656321
-43 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

next-up.org ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 22%). This is the 'Visibility Gap' pattern — implementing the recommendations above can help close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why next-up.org ranks here

Tech stackCloudflare Pages
RenderingSSR
Schema coverage5 blocks
Token bloat1.6×

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

84/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

64 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

156 chars
Good length

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://casinoenligne.next-up.org/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → fr-FR
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
  • ✓ og:description — Découvrez les meilleurs casinos en ligne en France avec méthodes de paiement rapides, jeux modernes et bonus intéressants pour jouer en toute sécurité.
  • ✗ 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

78/100 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 →
next-up.org
64
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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 20/100 — Low
Structured Elements 111 elements (35 lists, 45 rows, 31 headers)
Total Words9573
Raw Density1.2%
💡Low structure score (20/100). Your content appears as a wall of text with few structured HTML elements. You have 35 list items, 45 table rows, 31 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks5 blocks

Schema Coverage Map

4/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

63
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability63/100 — 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

62%
🗑️ 38%
Useful Content (73.2 KB)Bloat (46.4 KB)
Token Bloat Ratio1.6× — Lean

Multimodal Readiness

Visual Context85% Optimized for Vision
Image Alt Coverage68 / 80 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

85 Entropy
Good Token Bloat: Low
Noise Ratio: 38.8% · SNR: 1.58 · Signal: 18732 / Noise: 11891 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 next-up.org 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
This website provides a comparison and review of online casinos in France, focusing on identifying the most reliable and generous
Target Audience
Online casino players in France, particularly those seeking reliable casinos with generous bonuses and a wide selection of games.
Pricing Model
No explicit pricing model. The website operates on affiliate marketing, earning commissions from player deposits and wagers.
🏆 Competitive Moat
Rigorous testing methodology and a focus on providing honest, unbiased reviews based on real player experiences, differentiating it from casinos relying solely on marketing promotions.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Casino comparison pagesCasino review pagesBonus comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-30

🔧 Tech Stack

AI-Readiness Score75/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time603 ms
Raw HTML Size119.6 KB
Visible Text Size73.2 KB

Performance & Speed

65/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

603 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1070
DOM nodes
120 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → public, max-age=14400, must-revalidate
  • ✓ CDN cache status → REVALIDATED
  • ✓ CDN detected → cloudflare

🔬 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

52/100 15 % of Global Score 🔴 Low Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

0
internal links
5
external links
Very few internal links — crawlers may miss important pages

🔒 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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for next-up.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/next-up.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=next-up.org" 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
64
Single-page score
+31
Subpages outperform homepage
Δ delta
Site-Wide ACRI
95
Avg across 10 pages · Range 95–95
Total Words
95280
Avg Bloat
2.6×
Page Type ACRI Token Bloat Words Status
https://next-up.org/pricing
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/about
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/products
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/features
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/blog
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/docs
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/case-studies
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/contact
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/faq
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
https://next-up.org/integrations
Meilleur Casino en Ligne France 2026 🎖️ Top casino en ligne
pricing 95 2.6× 9528 💰 Pricing
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/pricing/ 1 95 0% 2.6× Healthy
/faq/ 1 95 0% 2.6× Healthy
/products/ 1 95 0% 2.6× Healthy
/blog/ 1 95 0% 2.6× Healthy
/case-studies/ 1 95 0% 2.6× Healthy
/contact/ 1 95 0% 2.6× Healthy
/about/ 1 95 0% 2.6× Healthy
/features/ 1 95 0% 2.6× Healthy
/docs/ 1 95 0% 2.6× Healthy
/integrations/ 1 95 0% 2.6× Healthy
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
gamcare.org.uk ×10
bestchange.com ×10
dmca.com ×10
gamblingtherapy.org ×10
gambleaware.org ×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/next-up.org

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to next-up.org. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
next-up.org (this site) 64 74 Cloudflare Pages 1.6× 5
symbolonly.com 86 89 Cloudflare Pages 2.4× 3 Compare →
endocrinology.org 88 90 Cloudflare Pages 1.9× 7 Compare →
centegrahealthyliving.com 87 94 Cloudflare Pages 5.4× 6 Compare →
oliverevolution.com 87 94 Cloudflare Pages 5.4× 6 Compare →
safescan.com 86 87 Custom / Proprietary 1.9× 5 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for next-up.org:

Current Score
74
Projected Score
77
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
🔍 Found indexing issues?
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