cgmood.com 61 C
🛡️ SEO 36 🤖 GEO 78 ⚡ Perf 47 🏗️ Arch 77

cgmood.com — Global SEODiff Score 61/100

cgmood.com
📊

cgmood.com achieves a 69/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Within the infrastructure vertical, this places cgmood.com above the industry average of 57 —, 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. With a 3.1× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

61
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (36) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 9 snapshots
Feb 23 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
🔄 Mar 20 Content change detected
📈 Mar 17 ACRI +1 (52→53)
📉 Mar 11 ACRI -1 (53→52)
Does your site score higher than cgmood.com?
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)36 × 0.25 = 9.0
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)77 × 0.15 = 11.5
Weighted sum = 9.0 + 31.2 + 9.4 + 11.5
Global SEODiff Score = 61 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
45
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #53382
+31 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

cgmood.com punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why cgmood.com ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat3.1×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • 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

36/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

73 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

144 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✗ og:title
  • ✗ og:description
  • ✗ og:image
  • ✗ 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.

🔗

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 →
cgmood.com
53
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 45/100 — Fair
Structured Elements 45 elements (45 lists, 0 rows, 0 headers)
Total Words755
Raw Density6.0%

🏷️ 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

58
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability58/100 — AI models can partially 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

32%
🗑️ 68%
Useful Content (51.3 KB)Bloat (106.1 KB)
Token Bloat Ratio3.1× — Lean

Multimodal Readiness

Visual Context63% Optimized for Vision
Image Alt Coverage52 / 82 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

48 Entropy
Fair Token Bloat: Medium
Noise Ratio: 67.4% · SNR: 0.48 · Signal: 13129 / Noise: 27165 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 cgmood.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
CGMood provides a platform for 3D model creators to sell their assets, offering a credit-based system for downloads and a
Target Audience
3D model creators, digital artists, game developers, and VR/AR content producers.
Pricing Model
Credit-based system with minimal plans offering discounts and exclusive models. Prices vary based on asset type and subscription level.
🔗 Integration Partners
PayPalPayoneer
🏆 Competitive Moat
Unique credit-based system combined with a rigorous moderation process ensuring high-quality 3D assets and a dedicated community.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
CollectionCREDITSEXCLUSIVEFREE FOR SUBSCRIBERS
⚡ Key Pain Points
• Complex credit system
• Moderation process can be time-consuming
• Limited payment options in some countries
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1034 ms
Raw HTML Size157.4 KB
Visible Text Size51.3 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1034 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1143
DOM nodes
157 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ 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
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://cgmood.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

322
internal links
4
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 → en
  • ✓ 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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for cgmood.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/cgmood.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=cgmood.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 67 pages · Deep-10

Homepage ACRI
53
Single-page score
-21
Severe hidden bloat
Δ delta
Site-Wide ACRI
33
Avg across 67 pages · Range 0–77
🔍
Hidden Bloat Detected

Homepage scores 53, but internal pages average only 33 — a -21-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
26%
Topical Drift
TF-IDF cosine similarity
Total Words
18414
Avg Bloat
28.1×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://cgmood.com/faq
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 77 7.5× 742 💰 Pricing
https://cgmood.com/learn/studio-sets
Tutorial - CGMood Studio Sets And Upload Guidelines
blog 67 12.7× 626
https://cgmood.com/learn/procedural-lake-water-breakdown
Tutorial - Procedural lake water breakdown
blog 67 11.5× 597
https://cgmood.com/studio-sets
Tutorial - CGMood Studio Sets And Upload Guidelines
other 67 12.7× 626
https://cgmood.com/learn
Tutorials for FStorm, Corona and VRay - CGMood
blog 59 21.6× 686
https://cgmood.com/3d-model/cgmood-christmas-2019-present
CGMood Christmas 2019 Present - 3D Model for Corona
other 59 21.1× 1082
https://cgmood.com/mood/japanese
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 49.0× 685 💰 Pricing
https://cgmood.com/mood/scandinavian
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 47.8× 691 💰 Pricing
https://cgmood.com/mood/industrial
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 46.7× 765 💰 Pricing
https://cgmood.com/mood/vintage
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 48.3× 680 💰 Pricing
https://cgmood.com/mood/nature
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 46.8× 716 💰 Pricing
https://cgmood.com/mood/classical
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 47.4× 708 💰 Pricing
https://cgmood.com/mood/rustic
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 46.9× 732 💰 Pricing
https://cgmood.com/mood/ethnic
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 47.9× 695 💰 Pricing
https://cgmood.com/mood/kids
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 48.0× 697 💰 Pricing
https://cgmood.com/mood/futuristic
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 50.9× 641 💰 Pricing
https://cgmood.com/mood/contemporary
3D models and materials for Corona, VRay, Cinema4D, FStormRender - CGMood
pricing 56 50.7× 710 💰 Pricing
https://cgmood.com/learn/a-scratched-and-dusted-wood
Tutorial - A scratched and dusted wood
blog 54 15.1× 421
https://cgmood.com/learn/making-of-irregular-plaster
Tutorial - Making of irregular plaster
blog 54 18.8× 331
https://cgmood.com/competitions
Competitions at CGMood
pricing 54 14.9× 300 💰 Pricing
Showing 20 of 67 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
/learn/ 12 48 0% 29.7× High JS Bloat
/3d-model/ 12 25 0% 27.6× High JS Bloat
/mood/ 11 56 0% 48.2× High JS Bloat
/home/ 9 0 0% 0.0× Low AI Readiness
/artist/ 8 45 0% 68.8× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/partners/ 1 39 0% 31.1× High JS Bloat
/studio-sets/ 1 67 0% 12.7× High JS Bloat
/contact/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/subscribe/ 1 49 0% 27.1× High JS Bloat
/how/ 1 54 0% 17.8× High JS Bloat
/faq/ 1 77 0% 7.5× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 67 pages
en.wikipedia.org ×44
youtube.com ×44
facebook.com ×44
instagram.com ×44
getama.dk ×2
corona-renderer.com ×2
behance.net ×2
help.sketchfab.com ×2
🔄 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/cgmood.com

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
cgmood.com (this site) 53 69 Custom / Proprietary 3.1× 0
vitacci.ru 78 80 Custom / Proprietary 1.8× 0 Compare →
palpis.net 78 80 Custom / Proprietary 1.7× 0 Compare →
prostitutkicex.top 78 80 Custom / Proprietary 1.5× 0 Compare →
jsaccessories.co.uk 78 80 Custom / Proprietary 2.7× 1 Compare →
adire.jp 78 78 Custom / Proprietary 2.3× 1 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
69
Projected Score
82
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
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