kupibilet.ru 54 D
🛡️ SEO 40 🤖 GEO 61 ⚡ Perf 34 🏗️ Arch 82

kupibilet.ru — Global SEODiff Score 54/100

kupibilet.ru
📊

kupibilet.ru shows strong AI visibility with an ACRI of 68/100, outperforming 62% of indexed domains. In the infrastructure sector, kupibilet.ru outperforms the average (57), 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. Heavy markup overhead (41.3× bloat) forces AI systems to wade through excess code before finding useful information. With 56 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

54
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Performance (34) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (41×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Mar 6 Mar 16
🔔 Recent AI Indexing Activity
🔄 Mar 16 Content change detected
Does your site score higher than kupibilet.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)40 × 0.25 = 10.0
🤖 AI Readiness / GEO (40% weight)61 × 0.40 = 24.4
⚡ Performance (20% weight)34 × 0.20 = 6.8
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 10.0 + 24.4 + 6.8 + 12.3
Global SEODiff Score = 54 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
15
Structure
avg 35
20
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #24429
+36 pts
Gap
AI (ACRI)
Top 38%
Score 68/100

kupibilet.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 kupibilet.ru ranks here

Tech stackNext.js
RenderingSSR
Schema coverage56 blocks
Token bloat41.3×

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

40/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

132 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

291 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 8
  • ✓ Has <h2> headings — found 10
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.kupibilet.ru
  • ✓ 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 — Дешёвые билеты — на Купибилет!
  • ✓ og:description — Быстрый и надёжный поиск билетных лазеек на самолёт и поезд. Услуги, с которыми путешествовать проще и выгодней.
  • ✓ og:image — preview
  • ✓ twitter:card — summary_large_image
📐 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 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 →
kupibilet.ru
48
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 15/100 — Poor
Structured Elements 14 elements (14 lists, 0 rows, 0 headers)
Total Words1940
Raw Density0.7%
💡Low structure score (15/100). Your content appears as a wall of text with few structured HTML elements. You have 14 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 Blocks56 blocks

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.
💡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

37
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability37/100 — 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

2%
🗑️ 98%
Useful Content (21.3 KB)Bloat (859.0 KB)
Token Bloat Ratio41.3× — Bloated

Multimodal Readiness

Visual Context96% Optimized for Vision
Image Alt Coverage67 / 70 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 880.3 KB, but only 21.3 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (41.3×) 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: 97.6% · SNR: 0.02 · Signal: 5455 / Noise: 219905 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 kupibilet.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
Купибилет is a ticket-finding service that helps users find affordable flights and train tickets, manage their travel plans, and provides
Target Audience
Travelers, frequent flyers, families, and individuals seeking affordable travel options.
Pricing Model
Subscription-based model with tiered pricing, potentially offering a free plan with limited features and paid plans for premium services.
🔗 Integration Partners
ЯндексООО «РЖД – Цифровые пассажирские решения»АО «ФПК»
🛡️ Compliance Standards
PCI DSS
🏆 Competitive Moat
Extensive database of flight and train options, smart routing capabilities, and a dedicated customer support team specializing in travel expertise.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Страны для легкого оформления шенгена5 вариантов для уютного глэмпинга6 солнечных стран для активного отдыха
⚡ Key Pain Points
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time1552 ms
Raw HTML Size880.3 KB
Visible Text Size21.3 KB

Performance & Speed

34/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1552 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

2775
DOM nodes
880 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

92
internal links
14
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 kupibilet.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/kupibilet.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=kupibilet.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
48
Single-page score
+13
Subpages outperform homepage
Δ delta
Site-Wide ACRI
61
Avg across 110 pages · Range 0–67
Total Words
70293
Avg Bloat
199.2×
Page Type ACRI Token Bloat Words Status
https://kupibilet.ru/blog
Блог - КупиБилет
pricing 67 53.7× 555 💰 Pricing
https://www.kupibilet.ru/routes/MOW/VIE
Дешевые авиабилеты Москва - Вена (VIE) расписание и цены, купить билет на самолет на Купибилет
pricing 66 205.3× 719 💰 Pricing
https://www.kupibilet.ru/routes/OSW/MOW
Дешевые авиабилеты Орск - Москва (MOW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 213.4× 690 💰 Pricing
https://www.kupibilet.ru/routes/MOW/VCE
Дешевые авиабилеты Москва - Венеция (VCE) расписание и цены, купить билет на самолет на Купибилет
pricing 66 220.4× 666 💰 Pricing
https://www.kupibilet.ru/routes/MOW/ALC
Дешевые авиабилеты Москва - Аликанте (ALC) расписание и цены, купить билет на самолет на Купибилет
pricing 66 217.7× 676 💰 Pricing
https://www.kupibilet.ru/routes/MOW/VVO
Дешевые авиабилеты Москва - Владивосток (VVO) расписание и цены, купить билет на самолет на Купибилет
pricing 66 213.8× 690 💰 Pricing
https://www.kupibilet.ru/routes/MOW/KGD
Дешевые авиабилеты Москва - Калининград (KGD) расписание и цены, купить билет на самолет на Купибилет
pricing 66 213.8× 690 💰 Pricing
https://www.kupibilet.ru/routes/OGZ/LED
Дешевые авиабилеты Владикавказ - Санкт-Петербург (LED) расписание и цены, купить билет на самолет на Купибилет
pricing 66 218.7× 674 💰 Pricing
https://www.kupibilet.ru/routes/VOG/MOW
Дешевые авиабилеты Волгоград - Москва (MOW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 210.3× 702 💰 Pricing
https://www.kupibilet.ru/routes/ASF/MOW
Дешевые авиабилеты Астрахань - Москва (MOW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 210.7× 700 💰 Pricing
https://www.kupibilet.ru/routes/IKT/LED
Дешевые авиабилеты Иркутск - Санкт-Петербург (LED) расписание и цены, купить билет на самолет на Купибилет
pricing 66 221.5× 664 💰 Pricing
https://www.kupibilet.ru/routes/IKT/BKK
Дешевые авиабилеты Иркутск - Бангкок (BKK) расписание и цены, купить билет на самолет на Купибилет
pricing 66 220.6× 666 💰 Pricing
https://www.kupibilet.ru/routes/MOW/SIP
Дешевые авиабилеты Москва - Симферополь (Крым) (SIP) расписание и цены, купить билет на самолет на Купибилет
pricing 66 201.0× 736 💰 Pricing
https://www.kupibilet.ru/routes/MOW/TBS
Дешевые авиабилеты Москва - Тбилиси (TBS) расписание и цены, купить билет на самолет на Купибилет
pricing 66 210.3× 702 💰 Pricing
https://www.kupibilet.ru/routes/MOW/TCI
Дешевые авиабилеты Москва - Тенерифе (TCI) расписание и цены, купить билет на самолет на Купибилет
pricing 66 215.2× 685 💰 Pricing
https://www.kupibilet.ru/routes/MOW/WAW
Дешевые авиабилеты Москва - Варшава (WAW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 216.8× 678 💰 Pricing
https://www.kupibilet.ru/routes/MOW/ALA
Дешевые авиабилеты Москва - Алматы (ALA) расписание и цены, купить билет на самолет на Купибилет
pricing 66 220.9× 664 💰 Pricing
https://www.kupibilet.ru/routes/MOW/BEG
Дешевые авиабилеты Москва - Белград (BEG) расписание и цены, купить билет на самолет на Купибилет
pricing 66 216.5× 680 💰 Pricing
https://www.kupibilet.ru/routes/PKC/MOW
Дешевые авиабилеты Петропавловск-Камчатский - Москва (MOW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 214.2× 690 💰 Pricing
https://www.kupibilet.ru/routes/ABA/MOW
Дешевые авиабилеты Абакан - Москва (MOW) расписание и цены, купить билет на самолет на Купибилет
pricing 66 213.5× 690 💰 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
/routes/ 99 66 1% 215.6× Bot Blocked
/features/ 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
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 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
/blog/ 1 67 0% 53.6× High JS Bloat
/faq/ 1 59 0% 59.0× High JS Bloat
/reviews/ 1 53 1% 140.1× Bot Blocked
/about/ 1 43 1% 312.6× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 110 pages
vk.com ×103
ok.ru ×103
cpa.kupibilet.ru ×103
t.me ×103
app.appsflyer.com ×103
x.com ×103
kupibilet.ostrovok.ru ×101
blog.kupibilet.ru ×101
🔄 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/kupibilet.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 kupibilet.ru. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
kupibilet.ru (this site) 48 68 Next.js 41.3× 56
witrigs.com 73 85 Next.js 19.1× 6 Compare →
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vapejuice.com 73 81 Next.js 14.8× 2 Compare →
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📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

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

Current Score
68
Projected Score
86
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
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