av-wiki.net 63 C
🛡️ SEO 40 🤖 GEO 78 ⚡ Perf 52 🏗️ Arch 77

av-wiki.net — Global SEODiff Score 63/100

av-wiki.net
📊

The AI-Readiness profile for av-wiki.net is strong: an ACRI of 84/100 places it ahead of 98% of domains in the index. In the infrastructure sector, av-wiki.net outperforms the average (57), suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. A 11.9× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (40) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 19, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 3 Mar 19
🔔 Recent AI Indexing Activity
🔄 Mar 19 Content change detected
📈 Mar 13 ACRI +9 (61→70)
Does your site score higher than av-wiki.net?
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)40 × 0.25 = 10.0
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)52 × 0.20 = 10.4
🏗️ Architecture & Trust (15% weight)77 × 0.15 = 11.5
Weighted sum = 10.0 + 31.2 + 10.4 + 11.5
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
100
Structure
avg 35
0
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #21869
Aligned
Gap
AI (ACRI)
Top 2%
Score 84/100

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

Why av-wiki.net ranks here

Tech stackWordPress
RenderingSSR
Schema coverage0 blocks
Token bloat11.9×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • 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

40/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

204 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

71 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 8
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://av-wiki.net/
  • ✓ 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 — AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
  • ✓ og:description — シロウト女優、キカタン(企画単体)AV女優名まとめ
  • ✗ og:image
  • ✓ twitter:card — summary_large_image
📐 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.

🔗

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 →
av-wiki.net
70
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 364 elements (350 lists, 7 rows, 7 headers)
Total Words922
Raw Density39.5%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

63
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability63/100 — AI models can partially extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

8%
🗑️ 92%
Useful Content (19.2 KB)Bloat (209.6 KB)
Token Bloat Ratio11.9× — Normal

Multimodal Readiness

Visual Context84% Optimized for Vision
Image Alt Coverage87 / 104 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 91.6% · SNR: 0.09 · Signal: 4904 / Noise: 53648 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 av-wiki.net 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 provides a directory of AV actress names.
Target Audience
AV industry professionals, fans seeking information
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Comprehensive AV actress name database
📊 Content Depth
2/10
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerLiteSpeed
CDN
HTTP Status200
Load Time852 ms
Raw HTML Size228.7 KB
Visible Text Size19.2 KB

Performance & Speed

52/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

852 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2538
DOM nodes
229 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

77/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://av-wiki.net/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

327
internal links
255
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 70/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for av-wiki.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/av-wiki.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=av-wiki.net" 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 121 pages · Deep-10

Homepage ACRI
70
Single-page score
-34
Severe hidden bloat
Δ delta
Site-Wide ACRI
36
Avg across 121 pages · Range 0–66
🔍
Hidden Bloat Detected

Homepage scores 70, but internal pages average only 36 — a -34-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
60%
Moderate Drift
TF-IDF cosine similarity
Total Words
6287
Avg Bloat
322.0×
Page Type ACRI Token Bloat Words Status
https://av-wiki.net/sitemap.html
XML Sitemap
other 66 13.3× 511
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/namahame-tiktok/
なまハメT☆kTok – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 252.5× 101
https://av-wiki.net/fanza-video/doc/doc-dream/
DOC DREAM – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 220.7× 114
https://av-wiki.net/fanza-video/doc/doc-ero-vr/
DOC ERO VR – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 282.7× 81
https://av-wiki.net/fanza-video/doc/doc-premium/
DOC PREMIUM – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 187.2× 136
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/yariman-introduction/
あなたよりエロい友達(ヤリマン)を紹介して下さい! – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 264.3× 71
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/ero-osewa/
エロのお世話してみました – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 223.8× 92
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/spermatching/
スペルマッチング – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 245.6× 78
https://av-wiki.net/fanza-video/doc/fetch-point/
ふぇちぽいんと – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 192.5× 129
https://av-wiki.net/fanza-video/doc/fetch-tou/
ふぇち党 – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 244.3× 105
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/yarimoku-influencer/
ヤリモクインフルエンサー – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 223.3× 92
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/sokuyari-gechu/
即ヤリゲッチュー – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 246.8× 104
https://av-wiki.net/fanza-video/doc/hamerec-ch/seiheki-hamedori/
性癖、ハメ撮り – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 256.4× 89
https://av-wiki.net/fanza-video/doc/machikado-s-nanpa/namapako-porngirl/
生パコPornGirl – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
docs 47 240.3× 106
https://av-wiki.net/av-actress/aika/
AIKA – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
pricing 47 242.6× 87 💰 Pricing
https://av-wiki.net/av-actress/emily/
EMILY – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
other 47 206.2× 103
https://av-wiki.net/av-actress/erika/
ERIKA – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
other 47 211.2× 92
https://av-wiki.net/av-actress/erina-okazaki/
ERINA – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
other 47 217.9× 83
https://av-wiki.net/av-actress/hitomi/
Hitomi – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
other 47 246.5× 79
https://av-wiki.net/av-actress/miru/
miru – AV女優の名前が知りたい! 本館 | シロウト女優、キカタン(企画単体)AV女優名のまとめサイト
other 47 262.8× 79
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
/av-actress/ 81 39 0% 372.5× High JS Bloat
/fanza-video/ 29 40 0% 302.6× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/sitemap.html/ 1 66 0% 13.3× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 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
🔗
Outbound External Citations
0 unique external domains cited across 121 pages
accounts.mixhost.jp ×110
ws.formzu.net ×110
al.fanza.co.jp ×106
mgstage.com ×78
sokmil.com ×72
click.duga.jp ×30
al.dmm.co.jp ×29
twitter.com ×15
🔄 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/av-wiki.net

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

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to av-wiki.net. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
av-wiki.net (this site) 70 84 WordPress 11.9× 0
grupocasalima.com 87 96 WordPress 11.4× 5 Compare →
profitserver.net 86 90 WordPress 3.8× 2 Compare →
driphydration.com 86 95 WordPress 1.9× 2 Compare →
tool-off.com 89 99 WordPress 7.4× 34 Compare →
safely.co.jp 90 90 WordPress 1.9× 3 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite av-wiki.net 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 av-wiki.net. 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": "Av-wiki",
  "url": "https://av-wiki.net",
  "logo": "https://av-wiki.net/wp-content/uploads/2021/12/cropped-av-wiki-icon-32x32.jpg",
  "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": "Av-wiki",
  "url": "https://av-wiki.net",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://av-wiki.net/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 8% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Av-wiki?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Av-wiki does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Av-wiki work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Av-wiki."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for av-wiki.net:

Current Score
84
Projected Score
100
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +5 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?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
Free Deep Audit → GSC Error Guide →