blastengine.jp 77 B
🛡️ SEO 80 🤖 GEO 90 ⚡ Perf 53 🏗️ Arch 71

blastengine.jp — Global SEODiff Score 77/100

blastengine.jp
📊

Among all indexed domains, blastengine.jp ranks in the top echelon with an ACRI of 95, demonstrating that its content is highly visible to AI systems. Within the developer vertical, this places blastengine.jp above the industry average of 58 —, 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. With a 2.7× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

77
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (53) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)80 × 0.25 = 20.0
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)71 × 0.15 = 10.7
Weighted sum = 20.0 + 36.0 + 10.6 + 10.7
Global SEODiff Score = 77 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
93
Structure
avg 36
86
Schema
avg 9
85
Tech Stack
avg 63

Why blastengine.jp ranks here

Tech stackWordPress
Industrydeveloper
RenderingSSR
Schema coverage3 blocks
Token bloat2.7×

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

80/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

81 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

313 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 27
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — 【公式】ブラストエンジン(blastengine)|API連携・SMTPリレー
  • ✓ og:description — API連携・SMTPリレーに特化したメール配信システム「ブラストエンジン」。27,000社以上の導入実績があり、1,500万通/時の配信スピードと高到達率でエンジニアの方の運用をラクにします。無料お試しでシステムとの連携テストも可能。
  • ✓ 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.

🔗

Citation Alternatives

Research
💡
Insight: In the developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
blastengine.jp
82
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 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 93/100 — Excellent
Structured Elements 164 elements (164 lists, 0 rows, 0 headers)
Total Words626
Raw Density26.2%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks3 blocks

Schema Coverage Map

6/7 schema types detected
✅ Organization
✅ Product/Service
✅ Breadcrumb
✅ FAQ
❌ Article
✅ WebSite

📐 AI Efficiency Metrics Docs

94
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability94/100 — 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

37%
🗑️ 63%
Useful Content (53.1 KB)Bloat (88.4 KB)
Token Bloat Ratio2.7× — Lean

Multimodal Readiness

Visual Context26% Optimized for Vision
Image Alt Coverage18 / 69 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 26% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

57 Entropy
Fair Token Bloat: Medium
Noise Ratio: 62.5% · SNR: 0.60 · Signal: 13592 / Noise: 22633 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
Servernginx
CDN
HTTP Status200
Load Time1244 ms
Raw HTML Size141.5 KB
Visible Text Size53.1 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1244 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1172
DOM nodes
142 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

71/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

59
internal links
20
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.

✓ TOP 15% AI-READY

🏆 You Are AI-Verified — Claim Your Badge

Your site scores 82/100 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 blastengine.jp
Verified — updates automatically every 24h
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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 developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
blastengine.jp (this site) 82 95 WordPress 2.7× 3
stiptpolishpointshop.nl 84 90 WordPress 2.3× 3 Compare →
jitterbit.com 82 89 WordPress 2.7× 1 Compare →
jitterbit.net 82 89 WordPress 2.7× 1 Compare →
gillmarine.com 82 84 WordPress 2.9× 1 Compare →
fastpng.com 84 90 WordPress 3.9× 2 Compare →
Compare All 5 Similar Sites →

📋 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