lolipop.jp 67 C
🛡️ SEO 46 🤖 GEO 86 ⚡ Perf 40 🏗️ Arch 86

lolipop.jp — Global SEODiff Score 67/100

lolipop.jp
📊

With a solid 80/100 ACRI, lolipop.jp is well-positioned for AI search — better than 94% of sites in the Radar. In the infrastructure sector, lolipop.jp outperforms the average (57), suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. With a 2.2× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

67
C — 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: Feb 26, 2026 · 📋 API
Does your site score higher than lolipop.jp?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)86 × 0.40 = 34.4
⚡ Performance (20% weight)40 × 0.20 = 8.0
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 11.5 + 34.4 + 8.0 + 12.9
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 35
2
Schema
avg 10
50
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #10393
Aligned
Gap
AI (ACRI)
Top 6%
Score 80/100

lolipop.jp has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why lolipop.jp ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage1 blocks
Token bloat2.2×

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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

73 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

207 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://lolipop.jp/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ja
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — ロリポップ!レンタルサーバー|WordPressの表示速度No.1
  • ✓ og:description — 【WordPressの表示速度No.1】のレンタルサーバー「ロリポップ!」月額660円から高速WordPressが使える!初期費用・ドメインも無料!今すぐ10日間の無料お試し
  • ✓ 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

86/100 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 infrastructure sector, safely.co.jp (ACRI: 90) 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 →
lolipop.jp
71
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. 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 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 130 elements (130 lists, 0 rows, 0 headers)
Total Words434
Raw Density30.0%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

75
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability75/100 — 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

45%
🗑️ 55%
Useful Content (58.1 KB)Bloat (68.5 KB)
Token Bloat Ratio2.2× — Lean

Multimodal Readiness

Visual Context60% Optimized for Vision
Image Alt Coverage35 / 58 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

70 Entropy
Fair Token Bloat: Medium
Noise Ratio: 54.1% · SNR: 0.85 · Signal: 14872 / Noise: 17529 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

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time2126 ms
Raw HTML Size126.6 KB
Visible Text Size58.1 KB

Performance & Speed

40/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2126 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1126
DOM nodes
127 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

125
internal links
5
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 71/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for lolipop.jp
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/lolipop.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=lolipop.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 4 pages · Deep-10

Homepage ACRI
71
Single-page score
-11
Moderate hidden bloat
Δ delta
Site-Wide ACRI
60
Avg across 4 pages · Range 60–60
🔍
Hidden Bloat Detected

Homepage scores 71, but internal pages average only 60 — a -11-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
1232
Avg Bloat
84.2×
RAG Fractures
4
Ext. Citations
9
⚠️
4 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 4 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://lolipop.jp/about
ロリポップ!レンタルサーバー|WordPressの表示速度No.1
pricing 60 84.2× 308 ⚠️ RAG Fracture
https://lolipop.jp/products
ロリポップ!レンタルサーバー|WordPressの表示速度No.1
pricing 60 84.2× 308 ⚠️ RAG Fracture
https://lolipop.jp/features
ロリポップ!レンタルサーバー|WordPressの表示速度No.1
pricing 60 84.2× 308 ⚠️ RAG Fracture
https://lolipop.jp/blog
ロリポップ!レンタルサーバー|WordPressの表示速度No.1
pricing 60 84.2× 308 ⚠️ RAG Fracture
🔗
Outbound External Citations
9 unique external domains cited across 4 pages
webmail.lolipop.jp ×4
forms.office.com ×4
lolipopftp.lolipop.jp ×4
vpn.lolipop.jp ×4
pepabo.com ×4
x.com ×4
mc.lolipop.jp ×4
gamers.lolipop.jp ×4
🔄 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/lolipop.jp

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
lolipop.jp (this site) 71 80 Custom / Proprietary 2.2× 1
forwardprint.com.ua 71 80 Custom / Proprietary 2.2× 1 Compare →
helpit.com.ar 71 82 Custom / Proprietary 2.2× 1 Compare →
kinoafisha.ua 71 77 Custom / Proprietary 2.2× 1 Compare →
elsana.co 71 81 Custom / Proprietary 2.3× 1 Compare →
webevi.com 71 80 Custom / Proprietary 2.3× 1 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to lolipop.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": "Lolipop",
  "url": "https://lolipop.jp",
  "logo": "https://lolipop.jp/img/common/favicon/apple-touch-icon.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Lolipop",
  "url": "https://lolipop.jp",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://lolipop.jp/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Lolipop?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Lolipop does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Lolipop work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Lolipop."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
80
Projected Score
93
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 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