booklog.jp 55 D
🛡️ SEO 14 🤖 GEO 76 ⚡ Perf 40 🏗️ Arch 85

booklog.jp — Global SEODiff Score 55/100

booklog.jp
📊

booklog.jp shows strong AI visibility with an ACRI of 72/100, outperforming 73% of indexed domains. In the social sector, booklog.jp outperforms the average (57), suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The 5.1× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

55
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (14) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 9 snapshots
Feb 23 Mar 20
🔔 Recent AI Indexing Activity
📈 Mar 20 ACRI +1 (48→49)
🔄 Mar 18 Content change detected
🔄 Mar 16 Content change detected
🔄 Mar 10 Content change detected
Does your site score higher than booklog.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)14 × 0.25 = 3.5
🤖 AI Readiness / GEO (40% weight)76 × 0.40 = 30.4
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)85 × 0.15 = 12.8
Weighted sum = 3.5 + 30.4 + 8.0 + 12.8
Global SEODiff Score = 55 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
44
Structure
avg 35
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #30500
+24 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

booklog.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 booklog.jp ranks here

Tech stackWordPress
Industrysocial
RenderingSSR
Schema coverage0 blocks
Token bloat5.1×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

14/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

66 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

324 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
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — ブクログ - 読書を記録し、新しい本と出会う場所
  • ✓ og:description — ブクログ(booklog)は、あなたの読書を「記録」し、新しい本と「出会える」サービスです。感想やレビュー、評価を記録できます。非公開設定も可能なので、自分だけの読書メモとしても活用できます。読書をもっと楽しいものにしませんか?
  • ✓ og:image — preview
  • ✓ 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

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 social sector, martin-sad.ru (ACRI: 87) 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 →
booklog.jp
49
Your ACRI Score
87
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. martin-sad.ru has schema coverage of 63 blocks and uses Custom / Proprietary. 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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 44/100 — Fair
Structured Elements 31 elements (31 lists, 0 rows, 0 headers)
Total Words526
Raw Density5.9%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

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
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

19%
🗑️ 81%
Useful Content (21.8 KB)Bloat (88.4 KB)
Token Bloat Ratio5.1× — Normal

Multimodal Readiness

Visual Context55% Optimized for Vision
Image Alt Coverage94 / 171 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: 80.2% · SNR: 0.25 · Signal: 5587 / Noise: 22636 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 booklog.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 platform enables users to discover books, create virtual bookshelves, write reviews, and manage their reading habits.
Target Audience
Readers, book lovers, book reviewers, and users interested in managing their reading experience.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Personalized book discovery and comprehensive reading management tools.
📊 Content Depth
6/10
⚡ Key Pain Points
• Limited SEO information available
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time2588 ms
Raw HTML Size110.2 KB
Visible Text Size21.8 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2588 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1210
DOM nodes
110 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
doubleclick.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

85/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://booklog.jp/sitemaps
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

233
internal links
16
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 49/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for booklog.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/booklog.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=booklog.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 102 pages · Deep-10

Homepage ACRI
49
Single-page score
+3
Consistent readability
Δ delta
Site-Wide ACRI
52
Avg across 102 pages · Range 0–67
Topical Cohesion
8%
Topical Drift
TF-IDF cosine similarity
Total Words
31764
Avg Bloat
41.8×
Page Type ACRI Token Bloat Words Status
https://booklog.jp/author/Clayton+M.+Christensen
Clayton M. Christensen おすすめランキング (120作品) - ブクログ
auth 67 31.9× 555
https://booklog.jp/author/%E6%9E%97%E5%81%A5%E5%A4%AA%E9%83%8E
林健太郎 おすすめランキング (189作品) - ブクログ
auth 60 43.7× 433
https://booklog.jp/author/%E4%BA%95%E5%A0%80%E5%88%A9%E5%AE%8F
井堀利宏 おすすめランキング (110作品) - ブクログ
auth 60 45.8× 413
https://booklog.jp/author/%E5%B0%8F%E5%A1%A9%E7%9C%9F%E5%8F%B8
小塩真司 おすすめランキング (60作品) - ブクログ
auth 60 43.2× 438
https://booklog.jp/author/%E6%B3%89%E7%BE%8E%E6%99%BA%E5%AD%90
泉美智子 おすすめランキング (62作品) - ブクログ
auth 60 42.9× 430
https://booklog.jp/author/%E9%88%B4%E6%9C%A8%E7%AB%8B%E5%93%89
鈴木立哉 おすすめランキング (34作品) - ブクログ
auth 60 44.7× 418
https://booklog.jp/author/%E6%B8%85%E6%B0%B4%E5%BB%BA%E4%BA%8C
清水建二 おすすめランキング (174作品) - ブクログ
auth 60 43.0× 443
https://booklog.jp/author/%E9%88%B4%E6%9C%A8%E5%8D%9A%E6%AF%85
鈴木博毅 おすすめランキング (52作品) - ブクログ
auth 60 43.2× 435
https://booklog.jp/author/%E5%AE%89%E9%81%94%E8%A3%95%E5%93%89
安達裕哉 おすすめランキング (23作品) - ブクログ
auth 60 48.3× 366
https://booklog.jp/author/%E6%9D%B1%E7%94%B0%E7%9B%B4%E6%A8%B9
東田直樹 おすすめランキング (73作品) - ブクログ
auth 60 43.0× 437
https://booklog.jp/author/%E6%9D%91%E7%80%AC%E5%B9%B8%E6%B5%A9
村瀬幸浩 おすすめランキング (99作品) - ブクログ
auth 60 42.9× 434
https://booklog.jp/author/%E9%98%BF%E9%83%A8%E8%AA%A0
阿部誠 おすすめランキング (43作品) - ブクログ
auth 60 45.4× 401
https://booklog.jp/author/%E5%B1%B1%E5%B4%8E%E5%B0%86%E5%BF%97
山崎将志 おすすめランキング (47作品) - ブクログ
auth 60 44.0× 425
https://booklog.jp/author/%E6%9E%97%E6%9C%A8%E6%9E%97
林木林 おすすめランキング (94作品) - ブクログ
auth 60 41.5× 443
https://booklog.jp/author/%E6%9E%97%E6%88%90%E4%B9%8B
林成之 おすすめランキング (60作品) - ブクログ
auth 60 42.6× 442
https://booklog.jp/author/%E3%81%B2%E3%82%8D%E3%82%86%E3%81%8D
ひろゆき おすすめランキング (145作品) - ブクログ
auth 60 43.4× 438
https://booklog.jp/author/%E5%90%89%E4%BA%95%E9%9B%85%E4%B9%8B
吉井雅之 おすすめランキング (22作品) - ブクログ
auth 60 45.5× 385
https://booklog.jp/author/%E5%A5%A5%E5%B1%B1%E7%9C%9F%E5%8F%B8
奥山真司 おすすめランキング (84作品) - ブクログ
auth 60 42.1× 454
https://booklog.jp/author/%E7%89%A7%E7%94%B0%E5%96%84%E4%BA%8C
牧田善二 おすすめランキング (151作品) - ブクログ
auth 60 41.7× 464
https://booklog.jp/author/%E9%AB%98%E6%A9%8B%E5%89%87%E6%98%8E
高橋則明 おすすめランキング (37作品) - ブクログ
auth 60 43.5× 432
Showing 20 of 100 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
/author/ 93 57 0% 45.4× High JS Bloat
/pricing/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 50 0% 41.6× High JS Bloat
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 102 pages
twitter.com ×94
wantedly.com ×94
booklog.co.jp ×94
facebook.com ×94
booklog.zendesk.com ×94
amazon.co.jp ×93
threads.net ×93
daigothebeast.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/booklog.jp

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

🔗 Similar social Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
booklog.jp (this site) 49 72 WordPress 5.1× 0
uniga.ac.id 74 88 WordPress 5.8× 1 Compare →
rosen-zu.net 74 84 WordPress 6.0× 1 Compare →
sexoverzicht.nl 74 84 WordPress 6.6× 1 Compare →
orchidresidencemaster.cloud 74 84 WordPress 1.8× 0 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
88
Improvement
+16 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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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