gumrf.ru 62 C
🛡️ SEO 25 🤖 GEO 78 ⚡ Perf 68 🏗️ Arch 70

gumrf.ru — Global SEODiff Score 62/100

gumrf.ru
📊

gumrf.ru shows strong AI visibility with an ACRI of 72/100, outperforming 73% of indexed domains. Within the infrastructure vertical, this places gumrf.ru above the industry average of 57 —, suggesting strong competitive positioning in AI search. The rendering approach is hybrid, with a moderate ghost ratio of 15% — most content is accessible without JS, though some elements are client-rendered. The 6.9× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (25) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 23 Feb 26
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than gumrf.ru?
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)25 × 0.25 = 6.2
🤖 AI Readiness / GEO (40% weight)78 × 0.40 = 31.2
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)70 × 0.15 = 10.5
Weighted sum = 6.2 + 31.2 + 13.6 + 10.5
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
63
Structure
avg 36
4
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #50570
+22 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

gumrf.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 gumrf.ru ranks here

Tech stackCustom / Proprietary
RenderingHybrid
Schema coverage2 blocks
Token bloat6.9×

Fastest improvements

  • 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

25/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

151 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

509 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → http://gumrf.ru/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → RU
  • ✗ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Государственный университет морского и речного флота имени адмирала С.О. Макарова
  • ✓ og:description — ГУМРФ им.адм. С.О. Макарова – университет, история которого начинается в 1809 году, предоставляющий современное образование в области эксплуатации водного транспорта, технологий судостроения, математического моделирования и информационной безопасности, экономики и управления
  • ✓ og:image — preview
  • ✗ 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, plodopitomnik-sad.ru (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 →
gumrf.ru
53
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 blocks and uses Express. 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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 63/100 — Good
Structured Elements 42 elements (42 lists, 0 rows, 0 headers)
Total Words356
Raw Density11.8%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

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 (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

14%
🗑️ 86%
Useful Content (6.3 KB)Bloat (37.1 KB)
Token Bloat Ratio6.9× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage43 / 43 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: 85.5% · SNR: 0.17 · Signal: 1605 / Noise: 9498 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of gumrf.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 university’s military training center offers military professional training programs for students and cadets, including military service contracts and the
Target Audience
Cadets, students, military personnel, prospective military officers
Pricing Model
Budget and contract-based tuition fees
🏆 Competitive Moat
Unique military training programs within a university setting, providing a pathway to military service and specialized skills.
📊 Content Depth
3/10
⚡ Key Pain Points
• Limited SEO information available
• Lack of clear pricing details
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-02 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
ServerApache/2.4.38 (Ubuntu)
CDN
HTTP Status200
Load Time1259 ms
Raw HTML Size43.4 KB
Visible Text Size6.3 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1259 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

608
DOM nodes
43 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate, post-check=0, pre-check=0
  • ✗ 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

70/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

114
internal links
20
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 53/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for gumrf.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/gumrf.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=gumrf.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 58 pages · Deep-10

Homepage ACRI
53
Single-page score
+9
Consistent readability
Δ delta
Site-Wide ACRI
62
Avg across 58 pages · Range 47–85
Total Words
23189
Avg Bloat
19.0×
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
http://www.gumrf.ru/covid_19/dist_kons_centr/FAQ
Часто задаваемые вопросы дистанционного обучения
support 85 7.4× 980
http://www.gumrf.ru/ob_universitete/hist
Государственный университет морского и речного флота имени адмирала С.О. Макарова | Историческая справка
pricing 85 9.0× 1518 💰 Pricing
http://www.gumrf.ru/sveden/struct
Структура и органы управления Государственного университета морского и речного флота имени адмирала С.О. Макарова
pricing 85 9.1× 2461 ⚠️ RAG Fracture
http://www.gumrf.ru/unilife_cvr_sovps
Санкт-Петербургский государственный университет водных коммуникаций | Советы психолога
other 85 5.9× 2505
http://www.gumrf.ru/sveden/struct/us/ui
Государственный университет морского и речного флота имени адмирала С.О. Макарова | Департамент цифрового развития и информатизации
other 85 9.5× 920
http://www.gumrf.ru/federUMO/VO/docs/profstandarti/PS_docmeh/ish_pism
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Профессиональные стандарты | Докер–механизатор | Исходящие письма
docs 75 11.8× 518
http://www.gumrf.ru/sveden/struct/us/umu/career
Государственный университет морского и речного флота имени адмирала С.О. Макарова | Центр карьеры
pricing 75 18.9× 543 💰 Pricing
http://www.gumrf.ru/naudejat_3
Наука в Государственном университете морского и речного флота имени адмирала С.О. Макарова
pricing 75 10.7× 668 💰 Pricing
http://www.gumrf.ru/federUMO/VO/docs/dpo/psmeirdpipd
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка судовых механиков, электромехаников и рефмехаников для получения и продления дипломов
docs 65 13.1× 479
http://www.gumrf.ru/federUMO/VO/docs/dpo/psdsipd
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка судоводителей для смены и продления дипломов
docs 65 13.6× 413
http://www.gumrf.ru/federUMO/VO/docs/dpo/psrdpipd
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка судовых радиоспециалистов для получения и продления дипломов
docs 65 17.4× 301
http://www.gumrf.ru/federUMO/VO/docs/dpo/ppvvnmiosvssg
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка по вопросам выживания на море и охраны судов в соответствии с Главой VI Конвенции ПДНВ
docs 65 16.0× 328
http://www.gumrf.ru/federUMO/VO/docs/dpo/ppirlssarpieknis
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка по использованию РЛС, САРП и ЭКНИС
docs 65 19.7× 259
http://www.gumrf.ru/federUMO/VO/docs/dpo/ppps
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Программы ДПО | Подготовка персонала пассажирских судов
docs 65 18.1× 274
http://www.gumrf.ru/federUMO/VO/docs/podgmor
ФУМО ВО | Документы для обсуждения | Программы подготовки моряков в соответствии с планом реализации положений приказа Министерства транспорта Российской Федерации от 13 мая 2015 г. № 167
docs 65 14.3× 392
http://www.gumrf.ru/federUMO/VO/docs/profstandarti
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Профессиональные стандарты
docs 65 20.0× 245
http://www.gumrf.ru/sveden/struct/v_kaf/about
О военном учебном центре
about 65 16.1× 300
http://www.gumrf.ru/federUMO/VO/docs/profstandarti/PS_docmeh/pol_zam
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Профессиональные стандарты | Докер–механизатор | Полученные замечания
docs 65 19.9× 258
http://www.gumrf.ru/federUMO/VO/docs/profstandarti/PS_sud/pol_zam
Государственный университет морского и речного флота имени адмирала С.О. Макарова | ФУМО ВО | Документы для обсуждения | Профессиональные стандарты | Судоводитель | Полученные замечания
docs 65 16.0× 332
http://www.gumrf.ru/sveden/struct/v_kaf/contact
Контакты
support 65 17.3× 280
Showing 20 of 58 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
/federUMO/ 32 58 0% 21.2× High JS Bloat
/sveden/ 16 66 0% 17.9× High JS Bloat
/naudejat/ 2 65 0% 14.4× High JS Bloat
/main/ 1 60 0% 23.9× High JS Bloat
/contacts/ 1 60 0% 21.0× High JS Bloat
/gto/ 1 50 0% 24.2× High JS Bloat
/contact/ 1 47 0% 8.2× High JS Bloat
/ob_universitete/ 1 85 0% 9.0× High JS Bloat
/covid_19/ 1 85 0% 7.4× High JS Bloat
/unilife_cvr_sovps/ 1 85 0% 5.9× High JS Bloat
/naudejat_3/ 1 75 0% 10.7× High JS Bloat
🔄 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/gumrf.ru

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

🔗 Similar infrastructure Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
gumrf.ru (this site) 53 72 Custom / Proprietary 6.9× 2
libertytimes.com.tw 78 87 Custom / Proprietary 5.9× 3 Compare →
cs-online.su 78 86 Custom / Proprietary 3.4× 2 Compare →
shoppingscanner.com 78 85 Custom / Proprietary 2.3× 2 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
88
Improvement
+16 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +3 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