retailrocket.ru 68 C
🛡️ SEO 63 🤖 GEO 75 ⚡ Perf 47 🏗️ Arch 85

retailrocket.ru — Global SEODiff Score 68/100

retailrocket.ru
📊

retailrocket.ru shows strong AI visibility with an ACRI of 70/100, outperforming 67% of indexed domains. Compared to other infrastructure sites (avg score: 57), retailrocket.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. A tight 3.9× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. 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.

68
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 25 snapshots
Feb 22 Mar 11
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than retailrocket.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)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)85 × 0.15 = 12.8
Weighted sum = 15.8 + 30.0 + 9.4 + 12.8
Global SEODiff Score = 68 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
0
Structure
avg 35
44
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.7%
Rank #6807
+33 pts
Gap
AI (ACRI)
Top 33%
Score 70/100

retailrocket.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 retailrocket.ru ranks here

Tech stackWordPress
RenderingSSR
Schema coverage2 blocks
Token bloat3.9×

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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

91 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

227 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://retailrocket.ru/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → ru-RU
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Retail Rocket Group — единый центр управления маркетингом
  • ✓ og:description — Retail Rocket Group — единый центр управления маркетингом. 12+ лет опыта. 1000+ клиентов. CDP, рекомендации, умный поиск, рассылки и Retail Media.
  • ✓ 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

75/100 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 →
retailrocket.ru
47
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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 0/100 — Poor
Structured Elements 0 elements (0 lists, 0 rows, 0 headers)
Total Words1128
Raw Density0.0%
💡Low structure score (0/100). Your content appears as a wall of text with few structured HTML elements. You have 0 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 ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 schema types detected
✅ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.

📐 AI Efficiency Metrics Docs

56
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability56/100 — AI models can partially 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

25%
🗑️ 75%
Useful Content (76.6 KB)Bloat (225.3 KB)
Token Bloat Ratio3.9× — Lean

Multimodal Readiness

Visual Context84% Optimized for Vision
Image Alt Coverage90 / 107 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

27 Entropy
Poor Token Bloat: High
Noise Ratio: 74.6% · SNR: 0.34 · Signal: 19603 / Noise: 57688 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 retailrocket.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 platform helps engineering teams manage projects, allocate resources, and optimize sprint planning using AI, improving team efficiency and productivity.
Target Audience
Engineering managers, product managers, and CTOs involved in software development and project management.
Pricing Model
Subscription-based, with tiered pricing based on team size and features (details not specified).
🔗 Integration Partners
SlackGitHubJira
🏆 Competitive Moat
AI-powered sprint planning and real-time resource optimization, providing a competitive advantage through intelligent automation.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx
CDN
HTTP Status200
Load Time1302 ms
Raw HTML Size301.9 KB
Visible Text Size76.6 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1302 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1401
DOM nodes
302 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

85/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

99
internal links
8
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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for retailrocket.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/retailrocket.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=retailrocket.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 258 pages · Deep-10

Homepage ACRI
47
Single-page score
+19
Subpages outperform homepage
Δ delta
Site-Wide ACRI
66
Avg across 258 pages · Range 0–85
Topical Cohesion
4%
Topical Drift
TF-IDF cosine similarity
Total Words
384884
Avg Bloat
36.6×
RAG Fractures [?]
254
⚠️
254 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 254 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://retailrocket.ru/blog/retail-rocket-science-043-gleb-sibirtsev-vitse-prezident-vvp-group-i-osnovatel-byuon-ru/
Retail Rocket Science 043: Глеб Сибирцев, вице-президент VVP Group и основатель Buyon.ru – Retail Rocket
pricing 85 10.0× 4890 ⚠️ RAG Fracture
https://retailrocket.ru/personal-data/
Политика об организации обработки и обеспечении безопасности персональных данных - Retail Rocket Group
pricing 85 7.6× 7777 ⚠️ RAG Fracture
https://retailrocket.ru/blog/personalized-marketing-what-it-is-and-how-to-implement-it/
Персонализированный маркетинг: от сбора данных до реализации
pricing 75 19.8× 2379 ⚠️ RAG Fracture
https://retailrocket.ru/blog/mehaniki-promoakciy-kak-vybrat/
Как выбрать механику промоакции для бизнеса - Retail Rocket Group
pricing 75 18.2× 2979 ⚠️ RAG Fracture
https://retailrocket.ru/blog/gid-po-triggernyim-rassyilkam/
Что такое триггерные email-рассылки и как они помогают продавать
pricing 75 11.7× 4342 ⚠️ RAG Fracture
https://retailrocket.ru/blog/vazhnejshie-trendy-ecommerce/
Тренды eCommerce 2025: что важно знать бизнесу
pricing 75 19.5× 2260 ⚠️ RAG Fracture
https://retailrocket.ru/blog/osnovy-massovoy-email-rassylki-dlya-marketologov/
Что такое массовая email-рассылка: руководство для бизнеса
pricing 75 19.2× 2632 ⚠️ RAG Fracture
https://retailrocket.ru/blog/obratite-vnimanie-kakie-infopovody-mozhet-ispolzovat-internet-magazin-v-rassylkah/
Как напомнить о себе клиенту в в email-рассылках - Retail Rocket Group
pricing 75 18.5× 2282 ⚠️ RAG Fracture
https://retailrocket.ru/blog/kak-udovletvorit-potrebnosti-pokupatelej-gid-po-personalizacii-internet-magazina/
Персонализация интернет-магазина: полный гид – Retail Rocket
pricing 75 18.0× 2732 ⚠️ RAG Fracture
https://retailrocket.ru/blog/pochemu-polzovateli-otpravlyayut-rassyilku-v-spam/
Как не попасть в спам при отправке email-рассылки – Retail Rocket
pricing 75 19.1× 2137 ⚠️ RAG Fracture
https://retailrocket.ru/blog/loyalty-program/
Виды программ лояльности для клиентов - Retail Rocket Group
pricing 75 19.5× 3008 ⚠️ RAG Fracture
https://retailrocket.ru/blog/nejroseti-dlya-reklamy/
12 кейсов применения нейросетей для рекламы: где ИИ реально работает
pricing 75 19.6× 2854 ⚠️ RAG Fracture
https://retailrocket.ru/blog/upsell-cross-sell-downsell/
Что такое апсейл, кросс-сейл и даун-сейл: объясняем на понятных примерах
pricing 75 16.4× 3668 ⚠️ RAG Fracture
https://retailrocket.ru/blog/algorithm-quality/
7 критериев для разработки системы рекомендации сайта
pricing 75 17.8× 2623 ⚠️ RAG Fracture
https://retailrocket.ru/blog/avtomatizatsiya-email-rassylok/
Автоматизация email-рассылок: экспертный гайд для бизнеса
pricing 75 19.7× 2766 ⚠️ RAG Fracture
https://retailrocket.ru/blog/ne-speshite-menja-horonit-trendy-email-marketinga/
Как email-маркетинг будет выглядеть в 2025 году – Retail Rocket
pricing 75 16.2× 2876 ⚠️ RAG Fracture
https://retailrocket.ru/blog/povyshenie-konversii-sajta/
Как увеличить конверсию сайта: 20 способов повысить заявки и продажи
pricing 75 16.6× 3970 ⚠️ RAG Fracture
https://retailrocket.ru/blog/personalized-advertising-2/
Персонализированная реклама: что важно знать каждому маркетологу
pricing 75 16.6× 2963 ⚠️ RAG Fracture
https://retailrocket.ru/blog/tonkosti-retention-rate-9-glavnyh-oshibok-pri-uderzhanii-klientov-i-sovety-kak-ih-izbezhat/
9 главных ошибок при удержании клиентов и советы, как их избежать – Retail Rocket
pricing 75 12.1× 4217 ⚠️ RAG Fracture
https://retailrocket.ru/blog/politika-dmarc-2/
Политика DMARC: что это и как настроить её правильно
pricing 75 19.5× 3711 ⚠️ RAG Fracture
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
/blog/ 116 70 0% 26.0× High JS Bloat
/glossary/ 43 68 0% 32.6× High JS Bloat
/updates/ 31 65 0% 51.9× High JS Bloat
/cases/ 25 66 0% 38.8× High JS Bloat
/news/ 22 61 0% 60.2× High JS Bloat
/events/ 4 55 0% 101.9× High JS Bloat
/event-type/ 3 63 0% 46.0× High JS Bloat
/analytics/ 3 64 0% 61.9× High JS Bloat
/author/ 3 54 0% 104.6× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/personal-data/ 1 85 0% 7.6× High JS Bloat
/docs/ 1 0 0% 0.0× Low AI Readiness
/letter/ 1 75 0% 17.4× High JS Bloat
/privacy-policy/ 1 70 0% 27.2× High JS Bloat
/features/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 258 pages
docs.retailrocket.ru ×254
t.me ×254
my.retailrocket.ru ×254
habr.com ×254
vk.com ×254
retailrocketgroup.ru ×6
mckinsey.com ×3
smartplacementads.ru ×3
🔄 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/retailrocket.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 retailrocket.ru. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
retailrocket.ru (this site) 47 70 WordPress 3.9× 2
aktivioslo.no 72 80 WordPress 4.1× 1 Compare →
rlive.md 72 82 WordPress 3.2× 1 Compare →
taos.org 72 85 WordPress 6.9× 1 Compare →
ero-gazou.jp 72 83 WordPress 5.4× 0 Compare →
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📊 Semantic Share of Voice

How often would an AI cite retailrocket.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…

🎭

Bait & Switch Delta

A 15 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

67
Homepage ACRI
67
Inner Avg ACRI
0
ACRI Delta
20%
Homepage Ghost
20%
Inner Avg Ghost
0
Drift Score [?]
Worst Inner Pages
67 20% pricing https://retailrocket.ru/blog/ugs-4to-eto-i-kak-ispolzovat/
67 20% pricing https://retailrocket.ru/blog/kak-ritejleram-prodvigat-sobstvennye-torgovye-marki-v-onlajne/
67 20% pricing https://retailrocket.ru/blog/chto-takoye-gibkaya-sistema-skidok-i-kak-ona-rabotayet/
🛡️

E-E-A-T Trust Signals

D 30/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
Named leadership: Наталья Казьмина, Наталья Казьмина, Наталья Казьмина
🔗

Citation Profile

18 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

88
Total Links
18
Unique Domains
5.9
Avg/Page
20%
Diversity
my.retailrocket.ru t.me vk.com docs.retailrocket.ru habr.com spring.upgrade.st entrust.com rumartech.timepad.ru docs.google.com marketplaces.moscow
🏘️ Outbound Neighborhood Trust Avg Trust: 24.5

AI trust scores for the domains retailrocket.ru links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to retailrocket.ru. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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 Retailrocket?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Retailrocket does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Retailrocket work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Retailrocket."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
70
Projected Score
73
Improvement
+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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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