sgu.ru 55 D
🛡️ SEO 27 🤖 GEO 80 ⚡ Perf 33 🏗️ Arch 62

sgu.ru — Global SEODiff Score 55/100

sgu.ru
📊

sgu.ru shows strong AI visibility with an ACRI of 79/100, outperforming 91% of indexed domains. Compared to other education sites (avg score: 57), sgu.ru 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 2.7×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

55
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (27) has the most room for improvement.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 26 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
🔄 Mar 20 Content change detected
🔄 Mar 18 Content change detected
🔄 Mar 16 Content change detected
🔄 Mar 10 Content change detected
Does your site score higher than sgu.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)27 × 0.25 = 6.8
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)33 × 0.20 = 6.6
🏗️ Architecture & Trust (15% weight)62 × 0.15 = 9.3
Weighted sum = 6.8 + 32.0 + 6.6 + 9.3
Global SEODiff Score = 55 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
84
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #27472
+7 pts
Gap
AI (ACRI)
Top 9%
Score 79/100

sgu.ru shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why sgu.ru ranks here

Tech stackDrupal
Industryeducation
RenderingSSR
Schema coverage0 blocks
Token bloat2.7×

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

27/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

6 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 5
  • ✗ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.sgu.ru/node/756
  • ✓ 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

80/100 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, rndirectors.com (ACRI: 85) 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 →
sgu.ru
69
Your ACRI Score
85
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. rndirectors.com has schema coverage of 4 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 84/100 — Excellent
Structured Elements 677 elements (677 lists, 0 rows, 0 headers)
Total Words3212
Raw Density21.1%

🏷️ 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

70
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability70/100 — AI models can easily 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

37%
🗑️ 63%
Useful Content (118.5 KB)Bloat (197.3 KB)
Token Bloat Ratio2.7× — Lean

Multimodal Readiness

Visual Context56% Optimized for Vision
Image Alt Coverage43 / 77 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

57 Entropy
Fair Token Bloat: Medium
Noise Ratio: 62.5% · SNR: 0.60 · Signal: 30345 / Noise: 50499 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 sgu.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
This document details the defense of a dissertation on high-sensitivity and highly selective gas analysis microcrystals based on nanoscale oxide
Target Audience
Researchers in sensor technology, materials science, nanotechnology, and related fields; academic institutions involved in research and development.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Advanced sensor technology for gas analysis, utilizing nanoscale oxide materials for high sensitivity and selectivity.
📊 Content Depth
5/10
⚡ Key Pain Points
• Lack of readily available technical documentation for the technology
• Limited information on the specific materials and fabrication processes
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Servernginx/1.26.2
CDN
HTTP Status200
Load Time1325 ms
Raw HTML Size315.8 KB
Visible Text Size118.5 KB

Performance & Speed

33/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1325 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3511
DOM nodes
316 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=3600
  • ✗ 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

62/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

658
internal links
44
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 69/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for sgu.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/sgu.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=sgu.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 110 pages · Deep-10

Homepage ACRI
69
Single-page score
-18
Moderate hidden bloat
Δ delta
Site-Wide ACRI
51
Avg across 110 pages · Range 0–62
🔍
Hidden Bloat Detected

Homepage scores 69, but internal pages average only 51 — a -18-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
48994
Avg Bloat
75.0×
Page Type ACRI Token Bloat Words Status
https://www.sgu.ru/research/dissertation-council/24-2-392-01/vysokochuvstvitelnye-i-vysokoselektivnye
Высокочувствительные и высокоселективные газоаналитические однокристальные мультисенсорные линейки на основе наноразмерных оксидных м | СГУ
other 62 71.0× 519
https://www.sgu.ru/research/dissertation-council/24-2-392-12/kandidatskaya-dissertaciya-malashenkovoy-eleny-nikolaevny
Кандидатская диссертация Малашенковой Елены Николаевны | СГУ
other 62 68.1× 535
https://www.sgu.ru/research/dissertation-council/24-2-392-11/vosprinimaemyy-vozrast-v-psikhologii-socialnogo-poznaniya
Воспринимаемый возраст в психологии социального познания: механизмы и факторы | СГУ
other 62 70.2× 526
https://www.sgu.ru/research/dissertation-council/24-2-392-06/doktorskaya-dissertaciya-zyubina-andreya-yurevicha
Докторская диссертация Зюбина Андрея Юрьевича | СГУ
other 62 71.4× 516
https://www.sgu.ru/research/dissertation-council/24-2-392-05/kandidatskaya-dissertaciya-makazhanovoy-zhuldyz-0
Кандидатская диссертация Макажановой Жулдыз Максутовны | СГУ
other 62 70.8× 518
https://www.sgu.ru/research/dissertation-council/24-2-392-05/kandidatskaya-dissertaciya-romanovoy-viktorii
Кандидатская диссертация Романовой Виктории Владимировны | СГУ
other 62 69.3× 531
https://www.sgu.ru/research/dissertation-council/24-2-392-05/kandidatskaya-dissertaciya-denisova-mihaila
Кандидатская диссертация Денисова Михаила Владимировича | СГУ
other 62 70.3× 519
https://www.sgu.ru/research/dissertation-council/24-2-392-01/osobennosti-processov-rasprostraneniya-elektromagnitnykh
Особенности процессов распространения электромагнитных волн и электронно-волнового взаимодействия в миниатюрных приборах О-типа миллиметрового диапазона с пространственно-развитыми электродинамическими структурами и ленточными электронными потоками | СГУ
other 62 67.5× 545
https://www.sgu.ru/struktura/uchyonyy-sovet
Учёный совет СГУ | СГУ
pricing 62 25.7× 2113 💰 Pricing
https://www.sgu.ru/research/dissertation-council/24-2-392-01/kandidatskaya-dissertaciya-grischenko-anastasii
Кандидатская диссертация Грищенко Анастасии Александровны | СГУ
other 62 70.8× 516
https://www.sgu.ru/research/dissertation-council/24-2-392-01/kandidatskaya-dissertaciya-gubanova-vladislava
Кандидатская диссертация Губанова Владислава Андреевича | СГУ
other 62 66.9× 548
https://www.sgu.ru/research/dissertation-council/24-2-392-01/doktorskaya-dissertaciya-sysoevoy-mariny-vyacheslavovny
Докторская диссертация Сысоевой Марины Вячеславовны | СГУ
other 62 63.6× 584
https://www.sgu.ru/research/dissertation-council/24-2-392-09/kandidatskaya-dissertaciya-sadyrina-evgeniya
Кандидатская диссертация Садырина Евгения Валерьевича | СГУ
other 62 72.5× 505
https://www.sgu.ru/research/dissertation-council/24-2-392-12/kandidatskaya-dissertaciya-pozvonkovoy-valentiny
Кандидатская диссертация Позвонковой Валентины Сергеевны | СГУ
other 62 70.7× 514
https://www.sgu.ru/research/dissertation-council/24-2-392-05/pedagogicheskoe-soprovozhdenie-kursantov-voysk
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ КУРСАНТОВ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ РОССИЙСКОЙ ФЕДЕРАЦИИ В ПРОЦЕССЕ СТАНОВЛЕНИЯ НРАВСТВЕННОГО СОЗНАНИЯ | СГУ
other 62 62.6× 589
https://www.sgu.ru/research/dissertation-council/24-2-392-12/kandidatskaya-dissertaciya-syaginoy-elizavety-igorevny
Кандидатская диссертация Сягиной Елизаветы Игоревны | СГУ
other 62 66.5× 552
https://www.sgu.ru/research/dissertation-council/24-2-392-05/formirovanie-professionalnykh-kompetenciy-dlya
Формирование профессиональных компетенций для осуществления вида профессиональной деятельности в области организации строительного производства | СГУ
other 62 62.1× 597
https://www.sgu.ru/research/dissertation-council/24-2-392-12/kandidatskaya-dissertaciya-aristangalievoy-nurgul
Кандидатская диссертация Аристангалиевой Нургуль Базылгалиевны | СГУ
other 62 68.7× 533
https://www.sgu.ru/research/dissertation-council/24-2-392-05/formirovanie-obrazovatelnoy-sredy-dukhovnoy-seminarii-v
Формирование образовательной среды духовной семинарии в процессе индивидуального наставничества | СГУ
other 62 66.4× 555
https://www.sgu.ru/research/dissertation-council/24-2-392-03/kandidatskaya-dissertaciya-sokolovoy-tatyany-alekseevny
Кандидатская диссертация Соколовой Татьяны Алексеевны | СГУ
other 62 63.8× 575
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
/research/ 98 56 0% 81.7× High JS Bloat
/struktura/ 2 52 0% 121.8× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 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
/integrations/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 110 pages
old.sgu.ru ×100
max.ru ×100
t.me ×100
rutube.ru ×100
ok.ru ×100
books.sgu.ru ×100
minobrnauki.gov.ru ×100
legacy-ef.com ×100
🔄 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/sgu.ru

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

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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
79
Projected Score
92
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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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