app-liv.jp 66 C
🛡️ SEO 50 🤖 GEO 90 ⚡ Perf 28 🏗️ Arch 80

app-liv.jp — Global SEODiff Score 66/100

app-liv.jp
📊

app-liv.jp achieves a 80/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other saas sites (avg score: 58), app-liv.jp performs above the benchmark, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The token bloat ratio sits at a lean 1.6×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (28) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 27, 2026 · 📋 API
Does your site score higher than app-liv.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)50 × 0.25 = 12.5
🤖 AI Readiness / GEO (40% weight)90 × 0.40 = 36.0
⚡ Performance (20% weight)28 × 0.20 = 5.6
🏗️ Architecture & Trust (15% weight)80 × 0.15 = 12.0
Weighted sum = 12.5 + 36.0 + 5.6 + 12.0
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 36
4
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 11%
Rank #114288
Aligned
Gap
AI (ACRI)
Top 6%
Score 80/100

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

Why app-liv.jp ranks here

Tech stackCustom / Proprietary
Industrysaas
RenderingSSR
Schema coverage2 blocks
Token bloat1.6×

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…
🛡️

Traditional SEO

50/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

90 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

200 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — アプリブ - あなたの欲しいアプリが見つかるアプリレビューサイト
  • ✓ og:description — アプリブは、カテゴリ別おすすめアプリ特集、17万件以上の多彩なレビュー、最新のトレンド情報を提供するスマートフォンアプリ情報サイトです。
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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 saas sector, gp-auto.com.ua (ACRI: 84) 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 →
app-liv.jp
80
Your ACRI Score
84
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. gp-auto.com.ua has schema coverage of 2 blocks and uses Cloudflare Pages. 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 1057 elements (1057 lists, 0 rows, 0 headers)
Total Words1394
Raw Density75.8%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 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.
💡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

76
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability76/100 — AI models can easily 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

62%
🗑️ 38%
Useful Content (329.2 KB)Bloat (187.0 KB)
Token Bloat Ratio1.6× — Lean

Multimodal Readiness

Visual Context22% Optimized for Vision
Image Alt Coverage36 / 166 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 22% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

85 Entropy
Good Token Bloat: Low
Noise Ratio: 36.2% · SNR: 1.76 · Signal: 84288 / Noise: 47861 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/gemma-3-4b-it-qat-4bit) analyzed the extracted content of app-liv.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
AppLib is a leading Japanese mobile app media providing a wide range of information for smartphone users, offering a comprehensive
Target Audience
Smartphone users, mobile app enthusiasts, content creators, app developers, marketing professionals (AppLib BizJournal), and consumers seeking meal solutions (宅食グルメ), gaming information (Appliv Games), and video content (VOD STREAM).
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Comprehensive app reviews, expert curation, awards program (Best App Award), and a diverse portfolio of media outlets.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Template comparison pages (Best App Award)User review guidelines (https://app-liv.jp/docs/user_review_guideline/)Multiple media integrations (TV, newspapers, etc.)
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features (Best App Award)
• Reliance on user-generated content (user reviews)
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx/1.29.5
CDN
HTTP Status200
Load Time1481 ms
Raw HTML Size516.2 KB
Visible Text Size329.2 KB

Performance & Speed

28/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1481 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

4174
DOM nodes
516 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

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

80/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

953
internal links
2
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 80/100 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 app-liv.jp
Verified — updates automatically every 24h
<a href="https://seodiff.io/radar/domains/app-liv.jp" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=app-liv.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.

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 →

� Deep Crawl Analysis 989 pages · Deep-10

Homepage ACRI
80
Single-page score
-18
Moderate hidden bloat
Δ delta
Site-Wide ACRI
63
Avg across 989 pages · Range 39–75
🔍
Hidden Bloat Detected

Homepage scores 80, but internal pages average only 63 — a -18-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
312660
Avg Bloat
81.4×
RAG Fractures [?]
27
⚠️
27 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 27 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://app-liv.jp/articles/120651/
クリスマス前のマッチングアプリは「恋人を作る大チャンス」だった!? - アプリブ
blog 75 56.8× 552
https://app-liv.jp/articles/146699/
『LINE MUSIC』の支払い方法と変更の手順 できない時の対処法 - アプリブ
blog 75 38.3× 607
https://app-liv.jp/bizjournal/articles/155414/
「Google Play ベスト オブ 2025」発表! ベストアプリは『DMM TV』、ベストゲームは『Pokémon TCG Pocket』が受賞 - アプリブ BizJournal
blog 75 57.5× 581
https://app-liv.jp/articles/82365/
「Spotify」使い方完全ガイド&プラン徹底比較【iPhone/Android/PC/ブラウザ】 - アプリブ
pricing 75 57.6× 507 💰 Pricing
https://app-liv.jp/articles/84608/
家計簿アプリ『マネーフォワード ME』使い方完全ガイド。口座連携もバッチリ! - アプリブ
pricing 75 56.9× 526 💰 Pricing
https://app-liv.jp/articles/122086/
『メルカリ』送料が安い配送方法比較 サイズ・重量・厚さで最安の送り方は? - アプリブ
blog 75 32.2× 830 ⚠️ RAG Fracture
https://app-liv.jp/articles/146713/
『LINE MUSIC』料金プランは5種類 値段や機能の違いを解説 - アプリブ
blog 75 39.3× 788
https://app-liv.jp/articles/123321/
「LINE STORE(ラインストア)」とは? スタンプや漫画もお得に買える賢い使い方 - アプリブ
blog 75 46.1× 506
https://app-liv.jp/articles/123645/
『LINE Pay(ラインペイ)』が使えるお店一覧 コンビニ・飲食店・オンラインなど - アプリブ
blog 75 38.3× 654
https://app-liv.jp/articles/136359/
同棲にかかる生活費の平均相場 円満なカップルがやっている分担方法や節約術も - アプリブ
pricing 75 50.7× 501 💰 Pricing
https://app-liv.jp/articles/144953/
1ヶ月で10キロ痩せる方法 体重を落とす運動&食事制限、ダイエットのコツなど - アプリブ
blog 75 47.8× 666
https://app-liv.jp/articles/126819/
Apple Musicの料金プランを解説! 他サービスとの違いやお得に利用する3つのコツも - アプリブ
blog 75 43.2× 530
https://app-liv.jp/articles/127778/
『Apple Music』の魅力と使い方 基本機能・便利な活用方法まで徹底解説! - アプリブ
blog 75 57.3× 738
https://app-liv.jp/articles/127913/
Apple Musicの無料トライアルは1ヶ月! できること・登録・確認・解約方法 - アプリブ
blog 75 55.8× 511
https://app-liv.jp/articles/131499/
『Among Us!』の遊び方 基本ルール・操作方法・攻略法・危険性を徹底解説! - アプリブ
blog 75 52.0× 583
https://app-liv.jp/articles/146502/
『LINE MUSIC』ファミリープランとは 登録・招待・解約のやり方 - アプリブ
blog 75 47.1× 633
https://app-liv.jp/articles/132827/
『あすけん』で11kgのダイエットに成功した筆者が使い方・口コミ・魅力を紹介 - アプリブ
blog 75 65.1× 543
https://app-liv.jp/articles/135367/
インスタのプロフィールがおしゃれに大変身!自己紹介を可愛くするコツ - アプリブ
blog 75 55.5× 527
https://app-liv.jp/articles/135682/
【図解あり】Picsartの使い方完全ガイド 基本の加工から応用までコレで完璧 - アプリブ
blog 75 58.4× 589
https://app-liv.jp/articles/142711/
『マンガワン』おすすめ漫画作品23選 ラブコメやスポ根が無料で読める! - アプリブ
blog 75 47.7× 584
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
/articles/ 468 67 0% 70.5× High JS Bloat
/education/ 13 68 0% 76.5× High JS Bloat
/customizations/ 7 69 0% 75.4× High JS Bloat
/bizjournal/ 6 67 0% 64.3× High JS Bloat
/879/ 1 65 0% 78.4× High JS Bloat
/1126/ 1 65 0% 85.8× High JS Bloat
/1291/ 1 65 0% 68.5× High JS Bloat
/4223/ 1 65 0% 83.8× High JS Bloat
/business/ 1 68 0% 79.5× High JS Bloat
/3017/ 1 65 0% 73.7× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 989 pages
meal.app-liv.jp ×989
ebook.app-liv.jp ×989
vod.app-liv.jp ×989
games.app-liv.jp ×989
mag.app-liv.jp ×989
deai.app-liv.jp ×988
nyle.co.jp ×988
twitter.com ×965
🔄 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/app-liv.jp

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

🔗 Similar saas Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
app-liv.jp (this site) 80 80 Custom / Proprietary 1.6× 2
gappori.jp 77 80 Custom / Proprietary 2.2× 1 Compare →
javmodel.com 81 88 Cloudflare Pages 2.1× 2 Compare →
golmicio.asahi.co.jp 79 88 Next.js 2.7× 2 Compare →
binder-connector.com 79 88 Next.js 3.1× 2 Compare →
aolsoru.com 77 87 Cloudflare Pages 2.1× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite app-liv.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 app-liv.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": "App-liv",
  "url": "https://app-liv.jp",
  "logo": "https://app-liv.jp/favicon.ico",
  "sameAs": []
}
</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 App-liv?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what App-liv does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does App-liv work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with App-liv."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
80
Projected Score
89
Improvement
+9 pts
Add Organization schema +6 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