autospot.ru 49 D
🛡️ SEO 35 🤖 GEO 52 ⚡ Perf 34 🏗️ Arch 81

autospot.ru — Global SEODiff Score 49/100

autospot.ru
📊

autospot.ru currently sits at 63/100 on the ACRI scale, an average result that suggests several quick wins remain untapped. Compared to other infrastructure sites (avg score: 57), autospot.ru performs above the benchmark, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 30% ghost ratio suggests some content remains hidden from static crawlers. A 50.0× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

49
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (34) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (66×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 11, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Feb 23 Mar 11
🔔 Recent AI Indexing Activity
🔄 Mar 11 Content change detected
Does your site score higher than autospot.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)35 × 0.25 = 8.8
🤖 AI Readiness / GEO (40% weight)52 × 0.40 = 20.8
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)81 × 0.15 = 12.2
Weighted sum = 8.8 + 20.8 + 6.8 + 12.2
Global SEODiff Score = 49 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 94
38
Structure
avg 36
0
Schema
avg 9
40
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 6%
Rank #59776
+44 pts
Gap
AI (ACRI)
Top 49%
Score 63/100

autospot.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 autospot.ru ranks here

Tech stackAngular
RenderingHybrid
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

35/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

136 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

334 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Автоспот ру: купить новые автомобили в Москве, цены на продажу авто на Autospot
  • ✓ og:description — ✸ Новые автомобили в Москве: купить авто - цены, характеристики, фото на Autospot. ✸ Авто в Москве: широкий выбор моделей и комплектаций - продажа новых автомобилей от официальных дилеров.
  • ✓ 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

52/100 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 →
autospot.ru
42
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.

👻
Shadow Content Detected: 30% of your page token budget is in non-rendered regions (JavaScript-dependent content that AI crawlers may not process). Combined with 65.8x token bloat, AI models are using most of their context window on noise instead of your real content. This dramatically increases hallucination probability — models fill the gap with made-up facts.
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 30%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 38/100 — Low
Structured Elements 38 elements (38 lists, 0 rows, 0 headers)
Total Words893
Raw Density4.3%
💡Low structure score (38/100). Your content appears as a wall of text with few structured HTML elements. You have 38 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

34
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability34/100 — AI models can barely 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 (10.3 KB)Bloat (669.7 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context86% Optimized for Vision
Image Alt Coverage96 / 111 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 680.0 KB, but only 10.3 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.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 98.5% · SNR: 0.02 · Signal: 2644 / Noise: 171447 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 autospot.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
Autospot is a free service for finding car deals and maintenance offers in Moscow.
Target Audience
Car buyers, car owners seeking maintenance, businesses seeking fleet solutions
Pricing Model
Free service with potential for commission on sales and fees for additional services.
🏆 Competitive Moat
Aggregated data from 100,000+ car offers and partnerships with 3,000+ dealers.
📊 Content Depth
6/10
⚡ Key Pain Points
• Limited SEO signals beyond basic information
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

FrameworkAngular
AI-Readiness Score40/100
ServerQRATOR
CDN
HTTP Status200
Load Time1582 ms
Raw HTML Size680.0 KB
Visible Text Size10.3 KB

Performance & Speed

34/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1582 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1744
DOM nodes
680 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

81/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

170
internal links
9
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-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 42/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for autospot.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/autospot.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=autospot.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 54 pages · Deep-10

Homepage ACRI
42
Single-page score
+23
Subpages outperform homepage
Δ delta
Site-Wide ACRI
66
Avg across 54 pages · Range 59–72
Topical Cohesion
17%
Topical Drift
TF-IDF cosine similarity
Total Words
45958
Avg Bloat
140.8×
Page Type ACRI Token Bloat Words Status
https://autospot.ru/brands/peugeot/partner/van/
Обзор авто Peugeot Partner - фото и видео, описание и характеристики автомобиля Пежо Partner 2015 – н.в., II Рестайлинг 2 в Москве от официальных дилеров
integrations 72 56.3× 981
https://autospot.ru/brands/peugeot/partner/van/review/
Отзывы владельцев о Peugeot Partner – отзыв[а/ов]
integrations 69 66.7× 887
https://autospot.ru/brands/hongqi/
Купить новый Hongqi по цене от 2 170 000 руб в Москве – модельный ряд, комплектации Хунцы 2026 от официальных дилеров
other 69 157.7× 698
https://autospot.ru/brands/haval/
Купить новый Haval по цене от 1 574 000 руб в Москве – модельный ряд, комплектации Хавейл 2026 от официальных дилеров
other 69 96.7× 1683
https://autospot.ru/brands/hyundai/
Купить новый Hyundai по цене от 3 850 000 руб в Москве – модельный ряд, комплектации Хендай 2026 от официальных дилеров
other 69 142.9× 788
https://autospot.ru/brands/infiniti/
Купить новый Infiniti по цене от 6 390 000 руб в Москве – модельный ряд, комплектации Инфинити 2026 от официальных дилеров
other 69 141.6× 761
https://autospot.ru/brands/jac/
Купить новый JAC по цене от 1 564 000 руб в Москве – модельный ряд, комплектации Джак 2026 от официальных дилеров
other 69 119.8× 898
https://autospot.ru/brands/
Купить автомобиль в Москве: цены на авто, новые легковые машины в каталоге Autospot
other 69 207.9× 770
https://autospot.ru/brands/jaecoo/
Купить новый Jaecoo по цене от 2 086 930 руб в Москве – модельный ряд, комплектации Джейку 2026 от официальных дилеров
other 69 107.1× 1040
https://autospot.ru/filters/
Фильтры для подбора автомобиля - Autospot.ru
other 69 145.4× 522
https://autospot.ru/brands/baic/
Купить новый BAIC по цене от 1 349 000 руб в Москве – модельный ряд, комплектации Баик 2026 от официальных дилеров
other 69 77.3× 1413
https://autospot.ru/brands/belgee/
Купить новый Belgee по цене от 1 439 990 руб в Москве – модельный ряд, комплектации Белджи 2026 от официальных дилеров
other 69 96.3× 1185
https://autospot.ru/brands/jetour/
Купить новый Jetour по цене от 1 739 900 руб в Москве – модельный ряд, комплектации Джетур 2026 от официальных дилеров
other 69 100.0× 1185
https://autospot.ru/brands/geely/
Купить новый Geely по цене от 1 994 990 руб в Москве – модельный ряд, комплектации Джили 2026 от официальных дилеров
other 69 98.5× 1418
https://autospot.ru/brands/changan/
Купить новый Changan по цене от 1 289 000 руб в Москве – модельный ряд, комплектации Чанган 2026 от официальных дилеров
other 69 94.2× 1708
https://autospot.ru/brands/great-wall/
Купить новый Great Wall по цене от 3 884 000 руб в Москве – модельный ряд, комплектации Грейт Волл 2026 от официальных дилеров
other 69 154.4× 508
https://autospot.ru/brands/chery/
Купить новый Chery по цене от 1 399 300 руб в Москве – модельный ряд, комплектации Чери 2026 от официальных дилеров
other 69 111.3× 1230
https://autospot.ru/brands/cheryexeed/
Купить новый EXEED по цене от 2 180 000 руб в Москве – модельный ряд, комплектации Эксид 2026 от официальных дилеров
other 69 113.7× 1147
https://autospot.ru/brands/citroen/
Купить новый Citroen по цене от 3 849 000 руб в Москве – модельный ряд, комплектации Ситроен 2026 от официальных дилеров
other 69 94.2× 1035
https://autospot.ru/brands/dongfeng/
Купить новый DongFeng по цене от 2 250 000 руб в Москве – модельный ряд, комплектации ДонгФенг 2026 от официальных дилеров
other 69 170.3× 536
Showing 20 of 54 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
/brands/ 52 66 0% 141.9× High JS Bloat
/filters/ 1 69 0% 145.4× High JS Bloat
/about/ 1 62 0% 78.7× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 54 pages
rostov-na-donu.autospot.ru ×54
samara.autospot.ru ×54
murmansk.autospot.ru ×54
tolyatti.autospot.ru ×54
t.me ×54
reestr.digital.gov.ru ×54
tambov.autospot.ru ×54
chelyabinsk.autospot.ru ×54
🔄 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/autospot.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 autospot.ru. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
autospot.ru (this site) 42 63 Angular 65.8× 0
backbase.com 67 84 Cloudflare Pages 63.6× 4 Compare →
mankist.com 67 80 WordPress 5.5× 0 Compare →
black-up.kr 67 76 Custom / Proprietary 4.4× 0 Compare →
13pc.net 67 82 Cloudflare Pages 3.1× 0 Compare →
mercatos.com 67 76 Custom / Proprietary 3.2× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
63
Projected Score
81
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

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