bethub.bet 70 B
🛡️ SEO 54 🤖 GEO 74 ⚡ Perf 74 🏗️ Arch 83

bethub.bet — Global SEODiff Score 70/100

bethub.bet
📊

With a solid 69/100 ACRI, bethub.bet is well-positioned for AI search — better than 64% of sites in the Radar. In the infrastructure sector, bethub.bet outperforms the average (57), suggesting strong competitive positioning in AI search. A ghost ratio of 30% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. A 6.1× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (54) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 17, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 6 Mar 17
🔔 Recent AI Indexing Activity
📈 Mar 17 ACRI +1 (53→54)
Does your site score higher than bethub.bet?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)54 × 0.25 = 13.5
🤖 AI Readiness / GEO (40% weight)74 × 0.40 = 29.6
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 13.5 + 29.6 + 14.8 + 12.4
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 93
33
Structure
avg 35
42
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #577002
-21 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

bethub.bet ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 36%). 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 bethub.bet ranks here

Tech stackVue.js
RenderingHybrid
Schema coverage1 blocks
Token bloat6.1×

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

54/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

41 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

157 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 7
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://bethub.bet/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ 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

74/100 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 →
bethub.bet
54
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.

👻
Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). Combined with 6.1x token bloat, AI models are using most of their context window on noise instead of your real content. This dramatically increases hallucination probability — models fill the gap with made-up facts.
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 30%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 33/100 — Low
Structured Elements 23 elements (23 lists, 0 rows, 0 headers)
Total Words721
Raw Density3.2%
💡Low structure score (33/100). Your content appears as a wall of text with few structured HTML elements. You have 23 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 ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 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

58
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability58/100 — 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

16%
🗑️ 84%
Useful Content (9.7 KB)Bloat (49.6 KB)
Token Bloat Ratio6.1× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage2 / 2 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: 83.6% · SNR: 0.20 · Signal: 2489 / Noise: 12693 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 bethub.bet 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 live betting predictions and in-play predictions across a wide range of sports, including football, basketball, tennis, and
Target Audience
Sports bettors, punters, and individuals seeking live sports betting insights and predictions.
Pricing Model
The website offers free access to predictions and betting tips, likely supported by affiliate marketing and potential premium features (not explicitly detailed).
🏆 Competitive Moat
Aggregated data and algorithmic predictions for live sports betting, potentially leveraging a large database of historical and real-time data.
📊 Content Depth
4/10
🔄 Programmatic SEO Signals
Use of ‘Live Betting Tips’, ‘In Play Predictions’, ‘Sports Betting Tips’ in titles and meta descriptions.Extensive use of sports-specific keywords (e.g., ‘Football’, ‘Basketball’, ‘Tennis’)Multiple pages dedicated to specific sports leagues and events.
⚡ Key Pain Points
• Lack of transparency regarding the source and reliability of the predictions.
• Potential for inaccurate predictions due to reliance on algorithms and data aggregation.
• Limited user interaction or feedback mechanisms.
Analyzed by SEODiff AI · 2026-03-27

🔧 Tech Stack

FrameworkVue.js
AI-Readiness Score55/100
Servernginx
CDN
HTTP Status200
Load Time830 ms
Raw HTML Size59.3 KB
Visible Text Size9.7 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

830 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

695
DOM nodes
59 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, proxy-revalidate, s-maxage=0
  • ✗ 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

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

108
internal links
1
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-US
  • ✓ 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 54/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for bethub.bet
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/bethub.bet" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=bethub.bet" 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
54
Single-page score
-37
Severe hidden bloat
Δ delta
Site-Wide ACRI
18
Avg across 10 pages · Range 0–72
🔍
Hidden Bloat Detected

Homepage scores 54, but internal pages average only 18 — a -37-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
14%
Topical Drift
TF-IDF cosine similarity
Total Words
2027
Avg Bloat
10.7×
Page Type ACRI Token Bloat Words Status
https://bethub.bet/blog
Live Betting Tips and in Play Predictions
blog 72 23.5× 1654
https://bethub.bet/faq
Frequently asked questions
pricing 62 20.3× 292 💰 Pricing
https://bethub.bet/contact
Contacts
support 44 62.7× 81
https://bethub.bet/pricing pricing 0 0.0× 0
https://bethub.bet/about about 0 0.0× 0
https://bethub.bet/products product 0 0.0× 0
https://bethub.bet/features product 0 0.0× 0
https://bethub.bet/docs docs 0 0.0× 0
https://bethub.bet/case-studies social-proof 0 0.0× 0
https://bethub.bet/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/blog/ 1 72 0% 23.5× High JS Bloat
/faq/ 1 62 0% 20.3× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 44 0% 62.7× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
bethub-pronosticos.es ×3
t.me ×2
hk.linkedin.com ×1
🔄 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/bethub.bet

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
bethub.bet (this site) 54 69 Vue.js 6.1× 1
thewatchsource.co.uk 79 88 Cloudflare Pages 6.3× 2 Compare →
epetice.com 79 89 Shopify 5.6× 2 Compare →
minsk.by 79 90 WordPress 6.8× 2 Compare →
drewpritchard.co.uk 79 89 Shopify 5.2× 2 Compare →
th.scsglobalservices.com 79 82 Drupal 3.3× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for bethub.bet:

Current Score
69
Projected Score
75
Improvement
+6 pts
Reduce token bloat +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?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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