vazbook.ru 73 B
🛡️ SEO 46 🤖 GEO 89 ⚡ Perf 53 🏗️ Arch 100

vazbook.ru — Global SEODiff Score 73/100

vazbook.ru
📊

At 80/100, the ACRI for vazbook.ru indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other infrastructure sites (avg score: 57), vazbook.ru performs above the benchmark, suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. The token bloat ratio sits at a lean 3.2×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (46) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 16
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than vazbook.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)46 × 0.25 = 11.5
🤖 AI Readiness / GEO (40% weight)89 × 0.40 = 35.6
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)100 × 0.15 = 15.0
Weighted sum = 11.5 + 35.6 + 10.6 + 15.0
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
100
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 16%
Rank #156831
-9 pts
Gap
AI (ACRI)
Top 6%
Score 80/100

vazbook.ru is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why vazbook.ru ranks here

Tech stackCustom / Proprietary
RenderingSSR
Schema coverage1 blocks
Token bloat3.2×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

46/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

131 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

281 chars
Too long

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 → https://www.vazbook.ru/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ru
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Инструкции для ремонта и техобслуживания автомобилей компании АвтоВАЗ
  • ✓ og:description — Мануалы, инструкции и справочная информация для ремонта, технического обслуживания и эксплуатации автомобилей советской и российской компании АвтоВАЗ.
  • ✓ 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

89/100 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 →
vazbook.ru
79
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 100/100 — Excellent
Structured Elements 542 elements (542 lists, 0 rows, 0 headers)
Total Words1534
Raw Density35.3%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡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

75
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability75/100 — AI models can easily 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

31%
🗑️ 69%
Useful Content (27.6 KB)Bloat (61.3 KB)
Token Bloat Ratio3.2× — Lean

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage9 / 9 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

45 Entropy
Fair Token Bloat: Medium
Noise Ratio: 68.9% · SNR: 0.45 · Signal: 7076 / Noise: 15688 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 vazbook.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
Инструкции для ремонта автомобилей АвтоВАЗ
Target Audience
Изготовители и специалисты по ремонту автомобилей АвтоВАЗ
Pricing Model
Бесплатно
Analyzed by SEODiff AI · 2026-02-26

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx/1.26.2
CDN
HTTP Status200
Load Time1561 ms
Raw HTML Size88.9 KB
Visible Text Size27.6 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1561 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1480
DOM nodes
89 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

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

100/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.vazbook.ru/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

653
internal links
11
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 79/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for vazbook.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/vazbook.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=vazbook.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 1010 pages · Deep-10

Homepage ACRI
79
Single-page score
-1
Consistent readability
Δ delta
Site-Wide ACRI
78
Avg across 1010 pages · Range 0–95
Total Words
849275
Avg Bloat
14.8×
RAG Fractures [?]
104
⚠️
104 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 104 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.vazbook.ru/bg/07/2107/main/service/diagnostika-neispravnostey-avtomobilya-i-sposoby-ih-ustraneniya
Диагностика на автомобилни неизправности и методи за тяхното отстраняване (ВАЗ-2107 «Жигули» 1982-2012 / Обща информация / Експлоатация и поддръжка)
pricing 95 5.0× 6095 ⚠️ RAG Fracture
https://www.vazbook.ru/bg/10/2110/main/service/diagnostika-neispravnostey-avtomobilya-i-sposoby-ih-ustraneniya
Диагностика на автомобилни неизправности и методи за тяхното отстраняване (ВАЗ-2110 «Lada» 1995-2007 / Обща информация / Експлоатация и поддръжка)
pricing 95 4.5× 6024 ⚠️ RAG Fracture
https://www.vazbook.ru/en/Oka/11113/main/service
Subcompact Car maintenance VAZ-11113 «Ока»
pricing 90 8.4× 1894 💰 Pricing
https://www.vazbook.ru/09/21099/main/service/opredelenie-neispravnostey-v-sisteme-zazhiganiya
Определение неисправностей в системе зажигания (ВАЗ-21099 «Спутник» 1990-2004 / Общая информация / Техническое обслуживание)
product 90 9.3× 1277
https://www.vazbook.ru/05/2104/main/service/podgotovka-avtomobilya-k-tehnicheskomu-obsluzhivaniyu-i-remontu
Подготовка автомобиля к техническому обслуживанию и ремонту (ВАЗ-2104 «Жигули» 1984-2012 / Общая информация / Эксплуатация и обслуживание)
product 90 9.4× 1360
https://www.vazbook.ru/05/2104/main/service/mery-bezopasnosti-pri-obsluzhivanii-i-remonte-avtomobilya
Меры безопасности при обслуживании и ремонте автомобиля (ВАЗ-2104 «Жигули» 1984-2012 / Общая информация / Эксплуатация и обслуживание)
product 90 9.0× 1466
https://www.vazbook.ru/15/2114/main/service/podgotovka-avtomobilya-k-tehnicheskomu-obsluzhivaniyu-i-remontu
Подготовка автомобиля к техническому обслуживанию и ремонту (ВАЗ-2114 «Samara-2» 2004-2013 / Общая информация / Эксплуатация и обслуживание)
pricing 90 8.4× 1552 💰 Pricing
https://www.vazbook.ru/15/2114/main/service/plan-tehnicheskogo-obsluzhivaniya
План технического обслуживания (ВАЗ-2114 «Samara-2» 2004-2013 / Общая информация / Эксплуатация и обслуживание)
pricing 90 8.6× 1545 💰 Pricing
https://www.vazbook.ru/05/2104/main/service/diagnostika-neispravnostey-avtomobilya-i-sposoby-ih-ustraneniya
Диагностика неисправностей автомобиля и способы их устранения (ВАЗ-2104 «Жигули» 1984-2012 / Общая информация / Эксплуатация и обслуживание)
pricing 90 6.0× 5088 ⚠️ RAG Fracture
https://www.vazbook.ru/ro/09/21099/main/service
Întreținerea vehiculului VAZ-21099 «Sputnik»
pricing 90 9.9× 1517 💰 Pricing
https://www.vazbook.ru/10/2112/main/service/mery-bezopasnosti-pri-obsluzhivanii-i-remonte-avtomobilya
Меры безопасности при обслуживании и ремонте автомобиля (ВАЗ-2112 «Lada» 1999-2007 / Общая информация / Эксплуатация и обслуживание)
product 90 8.7× 1453
https://www.vazbook.ru/en/09/21099/main/service
Vehicle Maintenance VAZ-21099 «Sputnik»
product 90 9.2× 1611
https://www.vazbook.ru/10/2112/main/service/podgotovka-avtomobilya-k-tehnicheskomu-obsluzhivaniyu-i-remontu
Подготовка автомобиля к техническому обслуживанию и ремонту (ВАЗ-2112 «Lada» 1999-2007 / Общая информация / Эксплуатация и обслуживание)
pricing 90 8.4× 1560 💰 Pricing
https://www.vazbook.ru/10/2110/main/service/mery-bezopasnosti-pri-obsluzhivanii-i-remonte-avtomobilya
Меры безопасности при обслуживании и ремонте автомобиля (ВАЗ-2110 «Lada» 1995-2007 / Общая информация / Эксплуатация и обслуживание)
product 90 8.6× 1455
https://www.vazbook.ru/10/2110/main/service/podgotovka-avtomobilya-k-to-tehnicheskomu-obsluzhivaniyu
Подготовка автомобиля к ТО (техническому обслуживанию) и ремонту (ВАЗ-2110 «Lada» 1995-2007 / Общая информация / Эксплуатация и обслуживание)
product 90 9.2× 1324
https://www.vazbook.ru/10/2112/main/service/plan-tehnicheskogo-obsluzhivaniya
План технического обслуживания (ВАЗ-2112 «Lada» 1999-2007 / Общая информация / Эксплуатация и обслуживание)
pricing 90 8.5× 1572 💰 Pricing
https://www.vazbook.ru/ro/Oka/11113/main/service
Întreținere mașini subcompacte VAZ-11113 «Oka»
pricing 90 8.9× 1823 💰 Pricing
https://www.vazbook.ru/10/2112/main/service/diagnostika-neispravnostey-avtomobilya-i-sposoby-ih-ustraneniya
Диагностика неисправностей автомобиля и способы их устранения (ВАЗ-2112 «Lada» 1999-2007 / Общая информация / Эксплуатация и обслуживание)
pricing 90 6.1× 3117 💰 Pricing
https://www.vazbook.ru/10/2110/main/service/periodicheskoe-to-tehnicheskoe-obsluzhivanie-avtomobilya
Периодическое ТО (техническое обслуживание) автомобиля (ВАЗ-2110 «Lada» 1995-2007 / Общая информация / Эксплуатация и обслуживание)
pricing 90 8.0× 2025 ⚠️ RAG Fracture
https://www.vazbook.ru/06/2106/main/service/mery-bezopasnosti-pri-obsluzhivanii-i-remonte-avtomobilya
Меры безопасности при обслуживании и ремонте автомобиля (ВАЗ-2106 «Жигули» 1976-2006 / Общая информация / Эксплуатация и обслуживание)
product 90 8.9× 1388
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
/bg/ 123 82 0% 12.8× High JS Bloat
/ua/ 114 82 0% 13.7× High JS Bloat
/by/ 112 82 0% 13.6× High JS Bloat
/rs/ 36 81 0% 13.9× High JS Bloat
/10/ 22 84 0% 11.6× High JS Bloat
/Oka/ 19 80 0% 15.4× High JS Bloat
/09/ 10 81 0% 17.1× High JS Bloat
/06/ 10 83 0% 12.7× High JS Bloat
/05/ 9 84 0% 12.5× High JS Bloat
/07/ 9 83 0% 12.5× High JS Bloat
/15/ 8 85 0% 12.4× High JS Bloat
/hr/ 6 82 0% 11.2× High JS Bloat
/hu/ 6 80 0% 12.7× High JS Bloat
/pl/ 5 80 0% 12.2× High JS Bloat
/ro/ 5 84 0% 10.3× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 1010 pages
lrman.ru ×1000
hyundaibook.ru ×1000
ladaman.ru ×1000
mitsubishiman.ru ×1000
toyotaman.ru ×1000
nissanbook.ru ×1000
mazbook.ru ×1000
divanyug.ru ×5
🔄 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/vazbook.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 vazbook.ru. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
vazbook.ru (this site) 79 80 Custom / Proprietary 3.2× 1
kondela.hu 86 93 Custom / Proprietary 3.1× 4 Compare →
pubsandclubs.com.au 86 87 Custom / Proprietary 4.9× 4 Compare →
kruizinga.nl 87 93 Custom / Proprietary 3.0× 5 Compare →
safescan.com 86 87 Custom / Proprietary 1.9× 5 Compare →
kobekyo.com 90 94 Custom / Proprietary 2.7× 6 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite vazbook.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 vazbook.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": "Vazbook",
  "url": "https://vazbook.ru",
  "logo": "https://www.vazbook.ru/img/006_120.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": "Vazbook",
  "url": "https://vazbook.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://vazbook.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 Vazbook?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Vazbook does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Vazbook work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Vazbook."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
80
Projected Score
93
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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