sfu-kras.ru 46 D
🛡️ SEO 29 🤖 GEO 61 ⚡ Perf 29 🏗️ Arch 55

sfu-kras.ru — Global SEODiff Score 46/100

sfu-kras.ru
📊

At 72/100, the ACRI for sfu-kras.ru indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Within the education vertical, this places sfu-kras.ru 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. Heavy markup overhead (50.0× bloat) forces AI systems to wade through excess code before finding useful information. The complete absence of JSON-LD schema is a missed opportunity: even basic Organization markup would improve how AI crawlers understand this domain. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

46
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (29) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (118×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 5 Mar 21
🔔 Recent AI Indexing Activity
📉 Mar 21 ACRI -1 (49→48)
🔄 Mar 16 Content change detected
Does your site score higher than sfu-kras.ru?
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)29 × 0.25 = 7.2
🤖 AI Readiness / GEO (40% weight)61 × 0.40 = 24.4
⚡ Performance (20% weight)29 × 0.20 = 5.8
🏗️ Architecture & Trust (15% weight)55 × 0.15 = 8.2
Weighted sum = 7.2 + 24.4 + 5.8 + 8.2
Global SEODiff Score = 46 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
52
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #25582
+25 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

sfu-kras.ru 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 sfu-kras.ru ranks here

Tech stackNext.js
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat50×+

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

29/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

64 chars
Too long

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 5
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✗ Canonical tag present
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ru
  • ➖ 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

61/100 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 education sector, educationdirectory.com.au (ACRI: 86) 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 →
sfu-kras.ru
48
Your ACRI Score
86
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. educationdirectory.com.au has schema coverage of 4 blocks and uses Custom / Proprietary. 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 52/100 — Fair
Structured Elements 85 elements (85 lists, 0 rows, 0 headers)
Total Words1063
Raw Density8.0%

🏷️ 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

41
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability41/100 — AI models can partially extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (14.9 KB)Bloat (1739.9 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context14% Optimized for Vision
Image Alt Coverage4 / 28 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 1754.8 KB, but only 14.9 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 14% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 99.2% · SNR: 0.01 · Signal: 3803 / Noise: 445427 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 sfu-kras.ru 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
The Universidad Federal de Siberia is a large Russian university formed from five institutions, providing a comprehensive education and research
Target Audience
Undergraduate students, graduate students, researchers, faculty, international students, regional businesses and organizations
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Large scale university collaboration, regional focus, strong research output, and a comprehensive campus infrastructure.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
The text contains numerous dates and events related to the university's history and development.The text references various institutes and departments within the university.
⚡ Key Pain Points
• Limited information on tuition fees and specific program costs.
• Lack of detail on international student support and admissions processes.
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time3285 ms
Raw HTML Size1754.8 KB
Visible Text Size14.9 KB

Performance & Speed

29/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

3285 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1376
DOM nodes
1755 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → private, no-cache, no-store, max-age=0, 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

55/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

132
internal links
26
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 48/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for sfu-kras.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/sfu-kras.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=sfu-kras.ru" 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 109 pages · Deep-10

Homepage ACRI
48
Single-page score
0
Consistent readability
Δ delta
Site-Wide ACRI
49
Avg across 109 pages · Range 0–82
Total Words
67641
Avg Bloat
81.8×
RAG Fractures [?]
10
⚠️
10 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 10 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.sfu-kras.ru/es/about/historia
Historia en breve | Universidad Federal de Siberia
pricing 82 4.3× 4591 💰 Pricing
https://www.sfu-kras.ru/en/testimonials
Student Testimonials | Siberian Federal University
pricing 82 3.8× 7108 💰 Pricing
https://www.sfu-kras.ru/en/about/5top100
SibFU is in the Russian Academic Excellence Project 5-100 | Siberian Federal University
pricing 77 8.2× 2619 ⚠️ RAG Fracture
https://www.sfu-kras.ru/de/about
Sibirische Föderale Universität Krasnojarsk — Allgemeine Informationen | Sibirische Föderale Universität
about 77 8.0× 1463
https://www.sfu-kras.ru/es/about/colaboraciones
Сolaboraciones | Universidad Federal de Siberia
about 77 8.8× 1410
https://www.sfu-kras.ru/es/about
La Universidad Federal de Siberia | Universidad Federal de Siberia
pricing 77 5.7× 2525 💰 Pricing
https://www.sfu-kras.ru/en/about/history
SibFU History | Siberian Federal University
pricing 77 6.0× 4026 💰 Pricing
https://www.sfu-kras.ru/en/testimonials/best-years
International Students and their Best Years at SibFU | Siberian Federal University
pricing 77 6.1× 3156 💰 Pricing
https://www.sfu-kras.ru/en/about
About Siberian Federal University | Siberian Federal University
pricing 67 16.1× 1370 💰 Pricing
https://www.sfu-kras.ru/en/about/rankings
Ranking | Siberian Federal University
pricing 67 16.0× 1197 ⚠️ RAG Fracture
https://www.sfu-kras.ru/es/about/area
El espacio de la SibFU | Universidad Federal de Siberia
about 67 17.8× 628
https://www.sfu-kras.ru/es/about/campus
Campus de la Universidad Federal de Siberia | Universidad Federal de Siberia
pricing 67 12.7× 1656 ⚠️ RAG Fracture
https://www.sfu-kras.ru/en/about/campus
Campus of Siberian Federal University | Siberian Federal University
pricing 67 16.7× 1572 ⚠️ RAG Fracture
https://www.sfu-kras.ru/es/about/ranking
Ranking | Universidad Federal de Siberia
pricing 67 10.6× 1259 ⚠️ RAG Fracture
https://www.sfu-kras.ru/en/partners
Partnership | Siberian Federal University
integrations 67 15.8× 1074
https://www.sfu-kras.ru/en/faq
FAQ | Siberian Federal University
pricing 67 16.7× 1134 💰 Pricing
https://www.sfu-kras.ru/en/career
Career at SibFU | Siberian Federal University
pricing 67 17.5× 1035 💰 Pricing
https://www.sfu-kras.ru/en/languages/spanish
SibFU Spanish Language Centre | Siberian Federal University
pricing 67 10.7× 1756 💰 Pricing
https://www.sfu-kras.ru/en/about/iad
School of Architecture and Design | Siberian Federal University
pricing 62 29.1× 577 💰 Pricing
https://www.sfu-kras.ru/en/about/inig
School of Petroleum and Gas Engineering | Siberian Federal University
pricing 62 29.7× 566 💰 Pricing
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
/en/ 61 54 0% 53.1× High JS Bloat
/cn/ 16 41 0% 149.6× High JS Bloat
/es/ 13 60 0% 28.4× High JS Bloat
/de/ 3 56 0% 47.6× High JS Bloat
/gateways/ 2 42 0% 358.7× High JS Bloat
/rectors/ 2 47 0% 163.8× High JS Bloat
/docs/ 1 42 1% 1127.8× Bot Blocked
/kef/ 1 42 0% 246.9× High JS Bloat
/about/ 1 52 1% 142.3× Bot Blocked
/contact/ 1 52 1% 142.1× Bot Blocked
/node/ 1 52 0% 67.0× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 109 pages
dovuz.sfu-kras.ru ×102
icmim.sfu-kras.ru ×99
ikit.sfu-kras.ru ×99
sintonika.ru ×99
my.sfu-kras.ru ×99
hi.sfu-kras.ru ×99
eco.sfu-kras.ru ×99
math.sfu-kras.ru ×99
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/sfu-kras.ru

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

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📊 Semantic Share of Voice

How often would an AI cite sfu-kras.ru 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 sfu-kras.ru. 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": "Sfu-kras",
  "url": "https://sfu-kras.ru",
  "logo": "https://sfu-kras.ru/favicon.ico",
  "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": "Sfu-kras",
  "url": "https://sfu-kras.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://sfu-kras.ru/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% 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 Sfu-kras?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Sfu-kras does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Sfu-kras work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Sfu-kras."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for sfu-kras.ru:

Current Score
72
Projected Score
90
Improvement
+18 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

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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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