cls.expert 57 D
🛡️ SEO 32 🤖 GEO 65 ⚡ Perf 68 🏗️ Arch 60

cls.expert — Global SEODiff Score 57/100

cls.expert
📊

The AI-Readiness profile for cls.expert is strong: an ACRI of 67/100 places it ahead of 61% of domains in the index. Compared to other infrastructure sites (avg score: 57), cls.expert performs above the benchmark, 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. The 5.9× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. 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.

57
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (32) needs urgent attention.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than cls.expert?
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)32 × 0.25 = 8.0
🤖 AI Readiness / GEO (40% weight)65 × 0.40 = 26.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)60 × 0.15 = 9.0
Weighted sum = 8.0 + 26.0 + 13.6 + 9.0
Global SEODiff Score = 57 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
37
Structure
avg 35
0
Schema
avg 10
50
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 4%
Rank #42281
+35 pts
Gap
AI (ACRI)
Top 39%
Score 67/100

cls.expert 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 cls.expert ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage0 blocks
Token bloat5.9×

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

32/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

10 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

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 → ru
  • ✗ Hreflang tags
  • ✓ 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

65/100 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 →
cls.expert
39
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 37/100 — Low
Structured Elements 5 elements (5 lists, 0 rows, 0 headers)
Total Words123
Raw Density4.1%
💡Low structure score (37/100). Your content appears as a wall of text with few structured HTML elements. You have 5 list items, 0 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 ❌ 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

53
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability53/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

16%
🗑️ 84%
Useful Content (1.7 KB)Bloat (8.5 KB)
Token Bloat Ratio5.9× — Normal

Multimodal Readiness

Visual ContextNo images detected
Image Alt Coverage0 / 0 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: 83.2% · SNR: 0.20 · Signal: 437 / Noise: 2165 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
Servernginx
CDN
HTTP Status200
Load Time1572 ms
Raw HTML Size10.2 KB
Visible Text Size1.7 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1572 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

78
DOM nodes
10 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-cache
  • ✗ 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

60/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

5
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 → ru
  • ✓ 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 39/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
cls.expert (this site) 39 67 Custom / Proprietary 5.9× 0
finnflare.xyz 39 67 Custom / Proprietary 5.9× 0 Compare →
multonpartners.com 39 67 Custom / Proprietary 5.9× 0 Compare →
rbx.best 39 67 Custom / Proprietary 5.9× 0 Compare →
soseeska.ru 39 67 Custom / Proprietary 5.9× 0 Compare →
moscable77.ru 39 67 Custom / Proprietary 5.9× 0 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to cls.expert. 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": "Expert",
  "url": "https://cls.expert",
  "logo": "favicon.ico?1",
  "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": "Expert",
  "url": "https://cls.expert",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://cls.expert/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for cls.expert:

Current Score
67
Projected Score
80
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +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