e-school.jp 70 B
🛡️ SEO 69 🤖 GEO 90 ⚡ Perf 40 🏗️ Arch 60

e-school.jp — Global SEODiff Score 70/100

e-school.jp
📊

e-school.jp has earned a 97/100 ACRI — a tier-1 result that puts it ahead of 99% of sites in the SEODiff Radar. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. A tight 2.9× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. With 4 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (40) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 15, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 8 Mar 15
🔔 Recent AI Indexing Activity
📈 Mar 15 ACRI +14 (67→81)
📈 Mar 15 ACRI +14 (67→81)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)69 × 0.25 = 17.2
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)60 × 0.15 = 9.0
Weighted sum = 17.2 + 36.0 + 8.0 + 9.0
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 94
100
Structure
avg 36
88
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #767251
-75 pts
Gap
AI (ACRI)
Top 1%
Score 97/100

e-school.jp ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 1%). 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 e-school.jp ranks here

Tech stackWordPress
Industry
RenderingSSR
Schema coverage4 blocks
Token bloat2.9×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

69/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

108 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

296 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 16
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — スクール管理システム「TechnoSMS」~充実の機能とカスタマイズ性|テクノピアン
  • ✓ og:description — スクール管理システムTechnoSMSは、現場特性に合わせたパッケージ機能と・カスタマイズ性に優れたシステムです。20年以上のスクールに特化した管理システムの開発ノウハウで、多くのスクールのシステム導入をサポート
  • ✓ 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

90/100 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.

🚨

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 100/100 — Excellent
Structured Elements 186 elements (186 lists, 0 rows, 0 headers)
Total Words469
Raw Density39.7%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks4 blocks

Schema Coverage Map

5/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
✅ FAQ
❌ Article
✅ WebSite
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.

📐 AI Efficiency Metrics Docs

97
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability97/100 — AI models can easily 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

34%
🗑️ 66%
Useful Content (40.2 KB)Bloat (78.3 KB)
Token Bloat Ratio2.9× — Lean

Multimodal Readiness

Visual Context62% Optimized for Vision
Image Alt Coverage87 / 141 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

52 Entropy
Fair Token Bloat: Medium
Noise Ratio: 66.1% · SNR: 0.51 · Signal: 10297 / Noise: 20033 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

FrameworkWordPress
AI-Readiness Score85/100
ServerApache
CDN
HTTP Status200
Load Time2832 ms
Raw HTML Size118.5 KB
Visible Text Size40.2 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2832 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1291
DOM nodes
118 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

60/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

3
internal links
145
external links
Limited internal links — consider adding contextual cross-links

🔒 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.

✓ TOP 15% AI-READY

🏆 You Are AI-Verified — Claim Your Badge

Your site scores 81/100 on the AI-Crawler Reality Index. Embed this trust badge on your site — every click sends visitors to your verified report and builds backlinks to your domain.

AI-Verified badge for e-school.jp
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💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.

How it works: The badge queries your ACRI score daily. If your score drops below 80 or your site hasn't been scanned in 30 days, the badge changes to "Pending Audit" (yellow) — prompting you to fix issues and rescan. Learn about ACRI methodology →

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
e-school.jp (this site) 81 97 WordPress 2.9× 4
okusuritsuhan.shop 88 90 WordPress 2.1× 3 Compare →
safely.co.jp 90 90 WordPress 1.9× 3 Compare →
meriambet.us.com 87 95 WordPress 4.1× 6 Compare →
bird-in-hand.co.uk 87 90 WordPress 1.7× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite e-school.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…

📋 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