uma-x.jp 64 C
🛡️ SEO 44 🤖 GEO 73 ⚡ Perf 58 🏗️ Arch 80

uma-x.jp — Global SEODiff Score 64/100

uma-x.jp
📊

At 64/100, uma-x.jp falls in the moderate bracket of AI-Readiness, suggesting its content is partially accessible to AI systems but not fully optimized. Compared to other infrastructure sites (avg score: 58), uma-x.jp performs above the benchmark, suggesting strong competitive positioning in AI search. The rendering approach is hybrid, with a moderate ghost ratio of 15% — most content is accessible without JS, though some elements are client-rendered. The 7.6× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. With 4 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.

64
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (44) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
Does your site score higher than uma-x.jp?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)44 × 0.25 = 11.0
🤖 AI Readiness / GEO (40% weight)73 × 0.40 = 29.2
⚡ Performance (20% weight)58 × 0.20 = 11.6
🏗️ Architecture & Trust (15% weight)80 × 0.15 = 12.0
Weighted sum = 11.0 + 29.2 + 11.6 + 12.0
Global SEODiff Score = 64 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
22
Structure
avg 36
8
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #87929
+39 pts
Gap
AI (ACRI)
Top 47%
Score 64/100

uma-x.jp 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 uma-x.jp ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage4 blocks
Token bloat7.6×

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

44/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

69 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

327 chars
Too long

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://uma-x.jp/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — 競馬予想ウマークス
  • ✓ og:description — 競馬予想ウマークスは無料の競馬予想と競馬予想に必要なデータを提供します。中央競馬の全レースを多角的に解析。出馬表や過去データ、買い目、馬券予想、競走馬、騎手、血統など様々な情報やデータ分析であなたの予想を手助けします。
  • ✗ og:image
  • ✓ 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

73/100 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 →
uma-x.jp
44
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 22/100 — Low
Structured Elements 5 elements (5 lists, 0 rows, 0 headers)
Total Words344
Raw Density1.5%
💡Low structure score (22/100). Your content appears as a wall of text with few structured HTML elements. You have 5 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 Blocks4 blocks

Schema Coverage Map

1/7 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.

📐 AI Efficiency Metrics Docs

45
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability45/100 — 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

13%
🗑️ 87%
Useful Content (15.4 KB)Bloat (101.8 KB)
Token Bloat Ratio7.6× — Normal

Multimodal Readiness

Visual Context80% Optimized for Vision
Image Alt Coverage323 / 404 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: 86.8% · SNR: 0.15 · Signal: 3948 / Noise: 26060 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

AI-Readiness Score50/100
ServerApache/2.4.41 (Ubuntu) OpenSSL/1.1.1f
CDN
HTTP Status200
Load Time721 ms
Raw HTML Size117.2 KB
Visible Text Size15.4 KB

Performance & Speed

58/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

721 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1613
DOM nodes
117 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

3
tracker scripts
3
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googlesyndication.comgoogletagmanager.comdoubleclick.net
📐 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

80/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://uma-x.jp/sitemap.gz
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

228
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 → ja
  • ✓ 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 44/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for uma-x.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/uma-x.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=uma-x.jp" 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 38 pages · Deep-10

Homepage ACRI
44
Single-page score
+19
Subpages outperform homepage
Δ delta
Site-Wide ACRI
64
Avg across 38 pages · Range 26–85
Total Words
148506
Avg Bloat
179.3×
RAG Fractures [?]
26
⚠️
26 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 26 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://uma-x.jp/uma
2026年競走馬獲得賞金ランキング | 競馬予想ウマークス
pricing 85 9.7× 4951 💰 Pricing
https://uma-x.jp/jockey
2026年02月第4週 騎手成績 | 競馬予想ウマークス
pricing 82 7.2× 3321 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602021120260301
中山記念 2026 予想 | 競馬予想ウマークス
pricing 75 12.2× 8801 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602031120260307
中山牝馬S 2026 予想 | 競馬予想ウマークス
pricing 75 11.0× 8367 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602011120260228
オーシャンS 2026 予想 | 競馬予想ウマークス
pricing 75 11.8× 9172 ⚠️ RAG Fracture
https://uma-x.jp/race_result/9202601051120260307
フィリーズレビュー 2026 予想 | 競馬予想ウマークス
pricing 75 11.1× 9359 ⚠️ RAG Fracture
https://uma-x.jp/race_result/9202601041120260301
チューリップ賞 2026 予想 | 競馬予想ウマークス
pricing 75 12.5× 7947 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4611/6202602011120260228
オーシャンS2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 11.1× 6297 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4614/6202602031120260307
中山牝馬S2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 10.9× 6268 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4616/9202601051120260307
フィリーズレビュー2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 11.0× 6405 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4613/6202602041120260308
弥生賞2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 10.5× 5305 ⚠️ RAG Fracture
https://uma-x.jp/nar_result/z312026030105
御厨人窟賞2026予想 | 競馬予想ウマークス
pricing 72 14.2× 3665 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602040920260308
湾岸ステークス 2026 予想 | 競馬予想ウマークス
pricing 72 13.6× 4637 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602041020260308
総武S 2026 予想 | 競馬予想ウマークス
pricing 72 11.2× 6700 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4612/9202601041120260301
チューリップ賞2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 10.8× 5690 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4609/6202602021120260301
中山記念2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 11.1× 6050 ⚠️ RAG Fracture
https://uma-x.jp/race_result/6202602041120260308
弥生賞 2026 予想 | 競馬予想ウマークス
pricing 72 11.5× 5603 ⚠️ RAG Fracture
https://uma-x.jp/race_result/9202601061120260308
大阪城S 2026 予想 | 競馬予想ウマークス
pricing 72 11.2× 7243 ⚠️ RAG Fracture
https://uma-x.jp/race_analytics/4794/9202601061120260308
大阪城S2026過去10年の傾向 | 競馬予想ウマークス
pricing 72 11.1× 5570 ⚠️ RAG Fracture
https://uma-x.jp/race_result/9202601031020260228
マーガレットS 2026 予想 | 競馬予想ウマークス
pricing 72 12.7× 4836 ⚠️ RAG Fracture
Showing 20 of 38 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
/race_result/ 11 73 0% 11.8× High JS Bloat
/race_analytics/ 9 72 0% 11.1× High JS Bloat
/contact/ 1 57 0% 0.9× Thin Content
/ai_isis/ 1 29 0% 1329.2× High JS Bloat
/ai_sopdet/ 1 29 0% 1076.8× High JS Bloat
/blog/ 1 26 0% 191.2× High JS Bloat
/products/ 1 57 0% 0.9× Thin Content
/case-studies/ 1 57 0% 0.9× Thin Content
/integrations/ 1 57 0% 0.9× Thin Content
/jockey/ 1 82 0% 7.2× High JS Bloat
/docs/ 1 57 0% 0.9× Thin Content
/nar/ 1 29 0% 782.2× High JS Bloat
/myosou/ 1 32 0% 3147.8× High JS Bloat
/nar_result/ 1 72 0% 14.2× High JS Bloat
/schedule/ 1 67 0% 15.3× High JS Bloat
🔄 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/uma-x.jp

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 uma-x.jp. Compare side-by-side.

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uma-x.jp (this site) 44 64 Custom / Proprietary 7.6× 4
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📊 Semantic Share of Voice

How often would an AI cite uma-x.jp 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 uma-x.jp. 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": "Uma-x",
  "url": "https://uma-x.jp",
  "logo": "https://uma-x.jp/favicon32.png",
  "sameAs": []
}
</script>
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 Uma-x?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Uma-x does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Uma-x work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Uma-x."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for uma-x.jp:

Current Score
64
Projected Score
76
Improvement
+12 pts
Add Organization schema +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