marathonbet.com 49 D
🛡️ SEO 27 🤖 GEO 70 ⚡ Perf 24 🏗️ Arch 63

marathonbet.com — Global SEODiff Score 49/100

marathonbet.com
📊

At 78/100, the ACRI for marathonbet.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the infrastructure vertical, this places marathonbet.com above the industry average of 57 —, suggesting strong competitive positioning in AI search. A ghost ratio of 15% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. Token bloat registers at 10.6× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. With 5 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

49
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (24) has the most room for improvement.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 1, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)27 × 0.25 = 6.8
🤖 AI Readiness / GEO (40% weight)70 × 0.40 = 28.0
⚡ Performance (20% weight)24 × 0.20 = 4.8
🏗️ Architecture & Trust (15% weight)63 × 0.15 = 9.4
Weighted sum = 6.8 + 28.0 + 4.8 + 9.4
Global SEODiff Score = 49 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
75
Structure
avg 36
10
Schema
avg 9
75
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #34144
+9 pts
Gap
AI (ACRI)
Top 12%
Score 78/100

marathonbet.com shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why marathonbet.com ranks here

Tech stackCloudflare Pages
RenderingHybrid
Schema coverage5 blocks
Token bloat10.6×

Fastest improvements

  • 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

27/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

57 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

134 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 93
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ 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

70/100 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 →
marathonbet.com
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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 75/100 — Good
Structured Elements 688 elements (222 lists, 466 rows, 0 headers)
Total Words4081
Raw Density16.9%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks5 blocks

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

58
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability58/100 — AI models can partially 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

9%
🗑️ 91%
Useful Content (84.6 KB)Bloat (812.0 KB)
Token Bloat Ratio10.6× — Normal

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 501 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 0% 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: 90.6% · SNR: 0.10 · Signal: 21651 / Noise: 207868 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 marathonbet.com 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 platform provides a comprehensive football prediction tool, allowing users to explore various match outcomes, including win/draw/loss, handicaps, and total
Target Audience
Sports bettors, football fans, and individuals seeking data-driven predictions for football matches.
Pricing Model
Subscription-based, with tiered pricing based on access to features and data depth (likely a monthly or annual fee).
🏆 Competitive Moat
Advanced statistical modeling and prediction algorithms combined with a vast database of football data, offering a more sophisticated and potentially accurate prediction experience than basic odds comparison tools.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Template comparison pagesIntegration directory pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-02 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score75/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1634 ms
Raw HTML Size896.6 KB
Visible Text Size84.6 KB

Performance & Speed

24/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1634 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

9679
DOM nodes
897 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate, post-check=0, pre-check=0
  • ✓ CDN cache status → DYNAMIC
  • ✓ 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

63/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

227
internal links
0
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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for marathonbet.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/marathonbet.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=marathonbet.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 89 pages · Deep-10

Homepage ACRI
64
Single-page score
-7
Moderate hidden bloat
Δ delta
Site-Wide ACRI
57
Avg across 89 pages · Range 30–69
Topical Cohesion
21%
Topical Drift
TF-IDF cosine similarity
Total Words
69693
Avg Bloat
50.6×
RAG Fractures [?]
77
⚠️
77 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 77 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.marathonbet.com/az/betting/Football/Hong+Kong+-+474435
Hong Kong Football mərclər
pricing 69 24.0× 1953 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Poland/III+Liga+-+753953
III Liga Poland Football mərclər
pricing 69 24.9× 1881 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Tennis/ATP+500+-+2707382
Tennis mərclər
pricing 66 51.3× 1904 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Floorball+-+484963
Floorball mərclər
pricing 66 47.5× 981 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Floorball/Norway+-+5344666
Norway Floorball mərclər
pricing 66 39.8× 779 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Lottery/Australia+-+1819696
Australia Lottery mərclər
pricing 66 38.1× 646 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Ice+Hockey/Canada/VIJHL+-+5094591
Canada Ice Hockey mərclər
pricing 66 52.4× 854 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Basketball/Outright+-+412812
Outright Basketball mərclər
pricing 66 64.1× 677 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Lithuania+-+433832
Lithuania Football mərclər
pricing 66 28.4× 3611 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Internationals+-+4410142
Internationals Football mərclər
pricing 66 54.2× 1985 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/England/League+Cup+-+47817
League Cup England Football mərclər
pricing 66 24.1× 8638 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Autosport+-+6041806
Autosport mərclər
pricing 66 55.7× 1049 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Basketball/Outright/NBA+-+894423
Outright Basketball mərclər
pricing 66 64.1× 677 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Slovakia/Starsieho+Dorastu+U-19+-+522132
Slovakia Football mərclər
pricing 66 25.2× 1841 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Israel/Youth+Premier+League+-+6842152
Israel Football mərclər
pricing 66 52.7× 535 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/England/League+1+-+22808
League 1 England Football mərclər
pricing 66 58.1× 584 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Handball/Algeria+-+1229913
Handball mərclər
pricing 66 43.2× 2581 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Football/Australia/National+Premier+League+-+3041760
Australia Football mərclər
pricing 66 43.5× 531 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/Tennis/ATP+500/Acapulco%2C+Mexico+-+353420
Tennis mərclər
pricing 66 51.2× 1920 ⚠️ RAG Fracture
https://www.marathonbet.com/az/betting/e-Sports/Counter-Strike+2+-+16339652
Counter-Strike 2 Esports mərclər
pricing 66 57.1× 1230 ⚠️ RAG Fracture
Showing 20 of 89 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
/az/ 88 57 1% 50.6× Bot Blocked
/blog/ 1 64 0% 47.8× High JS Bloat
🔄 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/marathonbet.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
marathonbet.com (this site) 64 78 Cloudflare Pages 10.6× 5
symbolonly.com 86 89 Cloudflare Pages 2.4× 3 Compare →
endocrinology.org 88 90 Cloudflare Pages 1.9× 7 Compare →
grupocasalima.com 87 96 WordPress 11.4× 5 Compare →
churchfind.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
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Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite marathonbet.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 marathonbet.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": "Marathonbet",
  "url": "https://marathonbet.com",
  "logo": "https://marathonbet.com/cdn/1-322/images/favicon/favicon.svg",
  "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": "Marathonbet",
  "url": "https://marathonbet.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://marathonbet.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Marathonbet?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Marathonbet does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Marathonbet work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Marathonbet."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
78
Projected Score
96
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