rdooll.com 64 C
🛡️ SEO 74 🤖 GEO 78 ⚡ Perf 24 🏗️ Arch 63

rdooll.com — Global SEODiff Score 64/100

rdooll.com
📊

With a solid 73/100 ACRI, rdooll.com is well-positioned for AI search — better than 75% of sites in the Radar. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A tight 1.4× 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.

64
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (24) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Mar 1 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
🔄 Mar 17 Content change detected
📈 Mar 12 ACRI +1 (63→64)
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)74 × 0.25 = 18.5
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)24 × 0.20 = 4.8
🏗️ Architecture & Trust (15% weight)63 × 0.15 = 9.4
Weighted sum = 18.5 + 31.2 + 4.8 + 9.4
Global SEODiff Score = 64 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
32
Structure
avg 35
44
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #807900
-55 pts
Gap
AI (ACRI)
Top 25%
Score 73/100

rdooll.com ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 25%). 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 rdooll.com ranks here

Tech stackExpress
Industry
RenderingSSR
Schema coverage2 blocks
Token bloat1.4×

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

74/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

49 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

180 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 10
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://rdooll.com/
  • ✓ 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 — 中古リアルラブドール専門販売 R DOLL
  • ✓ og:description — ラブドール中古販売・新品販売・高価買取ならR DOLL。業界唯一のリアルメイクや初心者セットも充実。中古ラブドールも続々入荷中!
  • ✓ 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

78/100 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 32/100 — Low
Structured Elements 177 elements (175 lists, 2 rows, 0 headers)
Total Words5727
Raw Density3.1%
💡Low structure score (32/100). Your content appears as a wall of text with few structured HTML elements. You have 175 list items, 2 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

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

Schema Coverage Map

3/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

65
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability65/100 — AI models can partially extract answers from this page
Crawl CostHigh (70/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

71%
🗑️ 29%
Useful Content (395.7 KB)Bloat (146.7 KB)
Token Bloat Ratio1.4× — Lean

Multimodal Readiness

Visual Context59% Optimized for Vision
Image Alt Coverage70 / 119 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

90 Entropy
Good Token Bloat: Low
Noise Ratio: 27.0% · SNR: 2.70 · Signal: 101303 / Noise: 37548 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 rdooll.com 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 website facilitates the buying, selling, and collecting of used real dolls, offering free and paid retrieval services.
Target Audience
Collectors, doll enthusiasts, individuals seeking to sell or dispose of dolls, and those interested in receiving doll retrieval services.
Pricing Model
Free retrieval inquiries, paid retrieval at ¥15,000 + shipping, and buy-back services with variable pricing.
🏆 Competitive Moat
Specialized doll marketplace with retrieval services and a focus on a niche market.
📊 Content Depth
3/10
⚡ Key Pain Points
• Lack of online ordering system
• Limited information on buy-back pricing
• Complex form with many required fields
Analyzed by SEODiff AI · 2026-04-06

🔧 Tech Stack

FrameworkExpress
AI-Readiness Score55/100
ServerLiteSpeed
CDN
HTTP Status200
Load Time1927 ms
Raw HTML Size542.4 KB
Visible Text Size395.7 KB

Performance & Speed

24/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1927 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

8271
DOM nodes
542 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache
  • ✗ 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
googletagmanager.com
📐 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

63/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

430
internal links
9
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 64/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

Homepage ACRI
64
Single-page score
-59
Severe hidden bloat
Δ delta
Site-Wide ACRI
5
Avg across 10 pages · Range 0–50
🔍
Hidden Bloat Detected

Homepage scores 64, but internal pages average only 5 — a -59-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
94
Avg Bloat
14.2×
Page Type ACRI Token Bloat Words Status
https://rdooll.com/contact
お問い合わせ(入力ページ) | 中古リアルラブドール専門販売 R DOLL
pricing 50 141.8× 94 💰 Pricing
https://rdooll.com/pricing pricing 0 0.0× 0
https://rdooll.com/about about 0 0.0× 0
https://rdooll.com/products product 0 0.0× 0
https://rdooll.com/features product 0 0.0× 0
https://rdooll.com/blog blog 0 0.0× 0
https://rdooll.com/docs docs 0 0.0× 0
https://rdooll.com/case-studies social-proof 0 0.0× 0
https://rdooll.com/faq support 0 0.0× 0
https://rdooll.com/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/pricing/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 50 0% 141.8× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 10 pages
post.japanpost.jp ×1
google.co.jp ×1
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/rdooll.com

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

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
rdooll.com (this site) 64 73 Express 1.4× 2
homecenter.nl 74 84 Express 7.7× 2 Compare →
speedcomputers.biz 74 87 Express 6.2× 1 Compare →
avtotachki.com 74 83 WordPress 3.0× 2 Compare →
riadagestan.ru 74 77 Custom / Proprietary 3.0× 2 Compare →
cholewinski.com 74 84 Next.js 3.8× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for rdooll.com:

Current Score
73
Projected Score
76
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
🔍 Found indexing issues?
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