tokubai.co.jp 49 D
🛡️ SEO 11 🤖 GEO 76 ⚡ Perf 40 🏗️ Arch 54

tokubai.co.jp — Global SEODiff Score 49/100

tokubai.co.jp
📊

tokubai.co.jp scores 64/100 on the AI-Readiness Index, placing it in the middle tier of indexed domains — there is clear room for improvement. Compared to other infrastructure sites (avg score: 57), tokubai.co.jp performs above the benchmark, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 15% ghost ratio suggests some content remains hidden from static crawlers. Token bloat registers at 6.8× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site allows access to some AI bots but restricts others, creating an uneven visibility profile across AI-powered services.

49
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (11) has the most room for improvement.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
Does your site score higher than tokubai.co.jp?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)11 × 0.25 = 2.8
🤖 AI Readiness / GEO (40% weight)76 × 0.40 = 30.4
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)54 × 0.15 = 8.1
Weighted sum = 2.8 + 30.4 + 8.0 + 8.1
Global SEODiff Score = 49 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
80
Bot Access
avg 92
94
Rendering
avg 93
56
Structure
avg 36
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.8%
Rank #7937
+47 pts
Gap
AI (ACRI)
Top 47%
Score 64/100

tokubai.co.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 tokubai.co.jp ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage1 blocks
Token bloat6.8×

Fastest improvements

  • Allow ClaudeBot (many assistants rely on it) — blocking it often correlates with “AI invisibility.”
  • 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

11/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

103 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

211 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✓ Has <h2> headings — found 2
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://tokubai.co.jp/
  • ✓ No noindex directive
  • ✗ Meta viewport set
  • ✗ HTML lang attribute
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — スーパー・ドラッグストアの特売情報・チラシ掲載サイト | くふう トクバイ
  • ✓ og:description — スーパー・ドラッグストアの特売情報・チラシ掲載サイト、「くふう トクバイ」でチラシをチェック!クーポン・タイムセール・バーゲン情報で賢く節約!
  • ✓ og:image — preview
  • ✗ 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

76/100 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, plodopitomnik-sad.ru (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 →
tokubai.co.jp
48
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 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)
Blocked
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed
💡ClaudeBot is blocked. To be cited by Claude, allow ClaudeBot in robots.txt.

👻 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 56/100 — Fair
Structured Elements 39 elements (25 lists, 14 rows, 0 headers)
Total Words416
Raw Density9.4%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

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

56
AI Extractability
Low
Crawl Cost
Low
Blocklist Risk
Extractability56/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskLow — 1 of 5 AI crawlers blocked

Token Bloat Research

14%
🗑️ 86%
Useful Content (9.9 KB)Bloat (57.9 KB)
Token Bloat Ratio6.8× — Normal

Multimodal Readiness

Visual Context55% Optimized for Vision
Image Alt Coverage18 / 33 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: 85.4% · SNR: 0.17 · Signal: 2537 / Noise: 14819 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 tokubai.co.jp 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 directory of supermarket and drug store flyers and sales information across Japan, allowing users to find
Target Audience
Budget-conscious shoppers, families, and individuals seeking deals on groceries and household goods in Japan.
Pricing Model
⚠ SEMANTIC VOID
🔗 Integration Partners
PayPayd払いau PAY楽天ペイ
🏆 Competitive Moat
Comprehensive coverage of supermarket and drug store flyers across Japan, combined with a user-friendly search and filtering system.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Store listing pagesCategory pages (e.g., 'Vegetables', 'Meat')Search functionality by postal code and prefecture
⚡ Key Pain Points
• Limited personalization beyond location-based searches
• Lack of advanced filtering options (e.g., by dietary restrictions)
• Potential for outdated flyer information
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time5367 ms
Raw HTML Size67.8 KB
Visible Text Size9.9 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

5367 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1025
DOM nodes
68 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

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

🔬 Tracker Tax

2
tracker scripts
2
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googlesyndication.comgoogletagmanager.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

54/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

240
internal links
13
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
  • ✗ 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 48/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for tokubai.co.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/tokubai.co.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=tokubai.co.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 1 pages · Deep-10

Homepage ACRI
48
Single-page score
+12
Subpages outperform homepage
Δ delta
Site-Wide ACRI
60
Avg across 1 pages · Range 60–60
Total Words
403
Avg Bloat
34.1×
Page Type ACRI Token Bloat Words Status
https://tokubai.co.jp/about
スーパー・ドラッグストアの特売情報・チラシ掲載サイト | くふう トクバイ
pricing 60 34.1× 403 💰 Pricing
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/about/ 1 60 0% 34.1× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1 pages
kosodate.kufu.jp ×1
shopping.kufu.jp ×1
kufu.co.jp ×1
retrip.jp ×1
zaim.net ×1
retailguide.tokubai.co.jp ×1
kufu.jp ×1
apps.apple.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/tokubai.co.jp

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to tokubai.co.jp. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
tokubai.co.jp (this site) 48 64 Custom / Proprietary 6.8× 1
beau-coup.com 73 80 Custom / Proprietary 5.9× 1 Compare →
homes.jp 73 80 Custom / Proprietary 4.5× 1 Compare →
nike.qa 73 85 Custom / Proprietary 4.1× 1 Compare →
seger.es.gov.br 73 80 Custom / Proprietary 5.1× 0 Compare →
loveskirting.co.uk 73 82 Custom / Proprietary 5.1× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite tokubai.co.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 tokubai.co.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": "Co",
  "url": "https://tokubai.co.jp",
  "logo": "https://assets.tokubai.co.jp/assets/themes/bargain/favicon-733d1fdfb411b42bb2ad33d23a6e73d50ececb743ebcf2051fd414d8b52d9994.ico",
  "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": "Co",
  "url": "https://tokubai.co.jp",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://tokubai.co.jp/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Allow ClaudeBot in robots.txt
Medium Impact ⏱ 2 min
ClaudeBot is restricted — Claude may not be able to cite your content. Many AI assistants rely on it.
text
User-agent: ClaudeBot
Allow: /

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for tokubai.co.jp:

Current Score
64
Projected Score
85
Improvement
+21 pts
Allow ClaudeBot +5 pts
Add Organization schema +6 pts
Add WebSite schema +4 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