maildealer.jp 72 B
🛡️ SEO 63 🤖 GEO 88 ⚡ Perf 53 🏗️ Arch 72

maildealer.jp — Global SEODiff Score 72/100

maildealer.jp
📊

The AI-Readiness profile for maildealer.jp is strong: an ACRI of 81/100 places it ahead of 95% of domains in the index. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. A tight 2.9× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Rich structured data (4 schema blocks) gives AI systems strong semantic signals for entity recognition and knowledge graph inclusion. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

72
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 26, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 23 Feb 26
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than maildealer.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)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)88 × 0.40 = 35.2
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)72 × 0.15 = 10.8
Weighted sum = 15.8 + 35.2 + 10.6 + 10.8
Global SEODiff Score = 72 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 36
8
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 17%
Rank #168847
-11 pts
Gap
AI (ACRI)
Top 5%
Score 81/100

maildealer.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 maildealer.jp ranks here

Tech stackCustom / Proprietary
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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

117 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

342 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 13
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — 【公式】メールディーラー|株式会社ラクス|メール・問い合わせの共有管理システム
  • ✓ og:description — メールディーラーは売上シェアNo.1のメール共有管理システムです。チーム全員のメールの対応状況を見える化し、返信漏れ・二重返信を防止するため業務効率を高めます。複数名でのメール管理に最適!導入社数9,000社突破!|ラクスのメールディーラー
  • ✓ 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

88/100 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 114 elements (114 lists, 0 rows, 0 headers)
Total Words356
Raw Density32.0%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks4 blocks

Schema Coverage Map

3/7 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.

📐 AI Efficiency Metrics Docs

77
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability77/100 — 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 (29.9 KB)Bloat (55.7 KB)
Token Bloat Ratio2.9× — Lean

Multimodal Readiness

Visual Context35% Optimized for Vision
Image Alt Coverage16 / 46 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 35% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

52 Entropy
Fair Token Bloat: Medium
Noise Ratio: 65.1% · SNR: 0.54 · Signal: 7647 / Noise: 14263 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 maildealer.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
メール・問い合わせの共有管理システム
Target Audience
企業チーム
Pricing Model
免费试用
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 Time1125 ms
Raw HTML Size85.6 KB
Visible Text Size29.9 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1125 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

883
DOM nodes
86 KB
HTML payload
Lean page — fast for bots and users

🗄️ 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

72/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

78
internal links
8
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 76/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for maildealer.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/maildealer.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=maildealer.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 807 pages · Deep-10

Homepage ACRI
76
Single-page score
-25
Severe hidden bloat
Δ delta
Site-Wide ACRI
52
Avg across 807 pages · Range 23–70
🔍
Hidden Bloat Detected

Homepage scores 76, but internal pages average only 52 — a -25-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
126810
Avg Bloat
80.9×
RAG Fractures [?]
6
⚠️
6 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 6 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.maildealer.jp/column/tool/comparison12.php
【2026年最新版】問い合わせ管理システム13選を厳選比較!目的別の選び方も紹介|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
pricing 70 37.4× 637 ⚠️ RAG Fracture
https://www.maildealer.jp/seminar/customersupportdxsummit-20250218/index.php
カスタマーサポートDX Summit Spring 2025〜AIとデータ活用で推し進める業務改革18選〜|メールディーラー
pricing 70 35.3× 744 💰 Pricing
https://www.maildealer.jp/column/tool/email_share147.php
【2026年最新】メール共有システム12社を比較!機能や選び方まで徹底解説|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
pricing 70 34.7× 697 ⚠️ RAG Fracture
https://www.maildealer.jp/column/method/
問い合わせ管理の方法|記事一覧|メール・問い合わせの共有管理システム「メールディーラー」
other 70 38.2× 540
https://www.maildealer.jp/column/tool/400-customer-success-tool.php
【2024年最新】カスタマーサクセスツールおすすめ15選!失敗しない選び方や機能など解説|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
pricing 70 39.4× 508 💰 Pricing
https://www.maildealer.jp/column/tool/customer-support_tool143.php
【2026年最新】カスタマーサポートツールおすすめ16選!タイプ別に徹底比較|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
pricing 70 36.0× 702 💰 Pricing
https://www.maildealer.jp/column/method/corporate_address180.php
法人・会社用メールアドレスの作成方法とは?作成例から独自ドメインの取得方法まで徹底解説|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 65 47.6× 294
https://maildealer.jp/faq
よくあるご質問|メール・問い合わせの共有管理システム「メールディーラー」
pricing 60 72.9× 239 💰 Pricing
https://www.maildealer.jp/faq/
よくあるご質問|メール・問い合わせの共有管理システム「メールディーラー」
pricing 60 72.9× 239 💰 Pricing
https://www.maildealer.jp/column/point/inquery-efficient.php
「問い合わせ対応業務」を効率化した7社の事例|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 60.1× 204
https://www.maildealer.jp/column/point/kenrei_3rules-of-email-writing.php
ビジネスメールの知っておきたい5つのマナー|「礼儀知らず」だと思われないために|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 50.6× 223
https://www.maildealer.jp/column/tool/email-management102.php
『メール管理ソフト』を導入してトラブルを未然に防ぎましょう!|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 61.2× 205
https://www.maildealer.jp/column/tool/web-email139.php
【Webメール5社を徹底比較】ビジネス利用に向いているのは?|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
pricing 60 60.8× 315 💰 Pricing
https://www.maildealer.jp/column/point/reply91.php
【例文】ビジネスメールの返信のマナー件名やお礼の書き方から注意点まで|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 43.2× 283
https://www.maildealer.jp/column/method/inside-sales_email157.php
【メール活用術】インサイドセールスで成果を出すコツと例文を解説|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 38.0× 395
https://www.maildealer.jp/column/point/340-document-request.php
資料請求へのお礼メールの有効な書き方とは?【タイプ別例文付き】|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
docs 60 41.7× 274
https://www.maildealer.jp/column/point/real_estatemail_195.php
【不動産会社向け】反響メールへの返信テンプレート集|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 41.9× 256
https://www.maildealer.jp/column/method/electronic-ledger-mail.php
メールも対象?電子帳簿保存法の電子取引データの保存漏れを防止する方法を紹介!!|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 60.7× 207
https://www.maildealer.jp/column/method/contact-reduction.php
問い合わせ件数を削減できるとどんなメリットがあるの?削減方法までご紹介!|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
support 60 74.5× 208
https://www.maildealer.jp/column/method/465-inquiry-response.php
問い合わせ対応の効率化のコツとは?重要性や具体的な方法を解説|【業界シェアNo.1】メール共有・メール管理システムのメールディーラー
other 60 58.6× 216
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
/column/ 397 55 0% 65.3× High JS Bloat
/info/ 91 50 0% 81.3× High JS Bloat
/scene/ 3 50 0% 85.3× High JS Bloat
/products/ 2 55 0% 73.8× High JS Bloat
/faq/ 2 60 0% 72.9× High JS Bloat
/counseling/ 1 50 0% 95.1× High JS Bloat
/lpl/ 1 50 0% 52.6× High JS Bloat
/ai/ 1 50 0% 135.8× High JS Bloat
/seminar/ 1 70 0% 35.3× High JS Bloat
/case/ 1 60 0% 49.9× High JS Bloat
🔄 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/maildealer.jp

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

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
maildealer.jp (this site) 76 81 Custom / Proprietary 2.9× 4
up-t.jp 86 87 Custom / Proprietary 2.9× 3 Compare →
churchfind.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
agedcarefind.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
educationdirectory.com.au 86 87 Custom / Proprietary 5.1× 4 Compare →
mackayaccountants.com 86 87 Custom / Proprietary 5.1× 4 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite maildealer.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 maildealer.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": "Maildealer",
  "url": "https://maildealer.jp",
  "logo": "https://maildealer.jp/img/common/favicons/favicon.ico",
  "sameAs": []
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
81
Projected Score
87
Improvement
+6 pts
Add Organization schema +6 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).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 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