kango-oshigoto.jp 60 C
🛡️ SEO 55 🤖 GEO 73 ⚡ Perf 39 🏗️ Arch 62

kango-oshigoto.jp — Global SEODiff Score 60/100

kango-oshigoto.jp
📊

Registering an exceptional 86/100 on the AI-Crawler Reality Index, kango-oshigoto.jp sits in the highest tier of AI extractability among indexed domains. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. A tight 2.6× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

60
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (39) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
⚠️ Crawl Blocked: Fetch failed (network timeout / connection error)
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than kango-oshigoto.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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)73 × 0.40 = 29.2
⚡ Performance (20% weight)39 × 0.20 = 7.8
🏗️ Architecture & Trust (15% weight)62 × 0.15 = 9.3
Weighted sum = 13.8 + 29.2 + 7.8 + 9.3
Global SEODiff Score = 60 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 36
44
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 15%
Rank #153477
-14 pts
Gap
AI (ACRI)
Top 1%
Score 86/100

kango-oshigoto.jp is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why kango-oshigoto.jp ranks here

Tech stackCustom / Proprietary
Industry
RenderingSSR
Schema coverage2 blocks
Token bloat2.6×

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…

⚠️ Crawl Failed: Anti-Bot Protection Detected

Fetch failed (network timeout / connection error)

The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.

🛡️

Traditional SEO

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

94 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

410 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — 看護師の求人/転職/募集【レバウェル看護|旧 看護のお仕事】<<公式>>
  • ✓ og:description — 【公式】看護師の求人・転職・募集情報なら『レバウェル看護|旧:看護のお仕事』。正看護師・准看護師・日勤常勤・夜勤専従パート・高給与など豊富な条件から理想の看護師求人を検索できます!全国の病院・クリニック・介護施設・企業の求人情報は毎日更新!【レバウェル看護|旧:看護のお仕事】
  • ✓ 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

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.

🚨

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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 350 elements (314 lists, 18 rows, 18 headers)
Total Words751
Raw Density46.6%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

2/7 schema types detected
✅ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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

86
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability86/100 — 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

38%
🗑️ 62%
Useful Content (62.8 KB)Bloat (98.8 KB)
Token Bloat Ratio2.6× — Lean

Multimodal Readiness

Visual Context55% Optimized for Vision
Image Alt Coverage24 / 44 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

60 Entropy
Fair Token Bloat: Medium
Noise Ratio: 61.2% · SNR: 0.64 · Signal: 16073 / Noise: 25300 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/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of kango-oshigoto.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
提供看护师职位信息和咨询服务
Target Audience
希望找到合适看护师职位的人员
Pricing Model
免费提供信息,可能有增值服务
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-26 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1692 ms
Raw HTML Size161.6 KB
Visible Text Size62.8 KB

Performance & Speed

39/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1692 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1647
DOM nodes
162 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache, private
  • ✗ 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

62/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

261
internal links
58
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 is currently blocking AI crawlers. Unblock them and rescan to earn your AI-Verified badge.

AI-Verified badge for kango-oshigoto.jp
Unverified — crawl access is blocked
<a href="https://seodiff.io/radar/domains/kango-oshigoto.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=kango-oshigoto.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 1000 pages · Deep-10

Homepage ACRI
44
Single-page score
+18
Subpages outperform homepage
Δ delta
Site-Wide ACRI
63
Avg across 1000 pages · Range 50–70
Total Words
832208
Avg Bloat
65.0×
Page Type ACRI Token Bloat Words Status
https://kango-oshigoto.jp/area/aomori/2408/
【2026年2月更新】上北郡東北町の看護師求人・転職・募集(青森県) | 【レバウェル看護|旧 看護のお仕事】
other 70 45.4× 509
https://kango-oshigoto.jp/area/ibaraki/8233/
【2026年1月更新】行方市の看護師求人・転職・募集(茨城県) | 【レバウェル看護|旧 看護のお仕事】
other 70 44.2× 520
https://kango-oshigoto.jp/area/saitama/11346/
【2026年2月更新】比企郡川島町の看護師求人・転職・募集(埼玉県) | 【レバウェル看護|旧 看護のお仕事】
other 70 43.6× 551
https://kango-oshigoto.jp/area/tokyo/13305/
【2026年2月更新】西多摩郡日の出町の看護師求人・転職・募集(東京都) | 【レバウェル看護|旧 看護のお仕事】
other 70 43.2× 575
https://kango-oshigoto.jp/area/kanagawa/14341/
【2026年2月更新】中郡大磯町の看護師求人・転職・募集(神奈川県) | 【レバウェル看護|旧 看護のお仕事】
other 70 45.5× 523
https://kango-oshigoto.jp/area/yamanashi/19212/
【2026年2月更新】上野原市の看護師求人・転職・募集(山梨県) | 【レバウェル看護|旧 看護のお仕事】
other 70 44.4× 519
https://kango-oshigoto.jp/area/niigata/15101/
【2026年2月更新】新潟市北区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 90.5× 1071
https://kango-oshigoto.jp/area/niigata/15102/
【2026年2月更新】新潟市東区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 69.0× 1553
https://kango-oshigoto.jp/area/niigata/15103/
【2026年2月更新】新潟市中央区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 63.1× 1817
https://kango-oshigoto.jp/area/niigata/15104/
【2026年2月更新】新潟市江南区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 84.7× 1141
https://kango-oshigoto.jp/area/niigata/15105/
【2026年2月更新】新潟市秋葉区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 83.2× 1153
https://kango-oshigoto.jp/area/niigata/15106/
【2026年2月更新】新潟市南区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 94.7× 949
https://kango-oshigoto.jp/area/niigata/15108/
【2026年2月更新】新潟市西蒲区の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 93.6× 987
https://kango-oshigoto.jp/area/niigata/15202/
【2026年2月更新】長岡市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 63.2× 1645
https://kango-oshigoto.jp/area/niigata/15204/
【2026年2月更新】三条市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 80.7× 1106
https://kango-oshigoto.jp/area/niigata/15205/
【2026年2月更新】柏崎市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 89.0× 980
https://kango-oshigoto.jp/area/niigata/15206/
【2026年2月更新】新発田市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 75.8× 1270
https://kango-oshigoto.jp/area/niigata/15208/
【2026年2月更新】小千谷市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 84.5× 537
https://kango-oshigoto.jp/area/niigata/15209/
【2026年2月更新】加茂市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 81.0× 537
https://kango-oshigoto.jp/area/niigata/15211/
【2026年2月更新】見附市の看護師求人・転職・募集(新潟県) | 【レバウェル看護|旧 看護のお仕事】
other 67 69.4× 832
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
/area/ 500 67 0% 73.3× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1000 pages
jinzai.hellowork.mhlw.go.jp ×1000
levwell.jp ×1000
line.lvgs.jp ×1000
jesra.or.jp ×1000
corp.levwell.jp ×1000
leverages.jp ×1000
nurse.or.jp ×45
mhlw.go.jp ×44
🔄 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/kango-oshigoto.jp

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

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
kango-oshigoto.jp (this site) 44 86 Custom / Proprietary 2.6× 2
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mycarrental.ru 54 73 Custom / Proprietary 5.0× 2 Compare →
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📊 Semantic Share of Voice

How often would an AI cite kango-oshigoto.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 kango-oshigoto.jp. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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

Projected Impact

ROI EST.

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

Current Score
86
Projected Score
89
Improvement
+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