systeme.ru 53 D
🛡️ SEO 38 🤖 GEO 61 ⚡ Perf 42 🏗️ Arch 69

systeme.ru — Global SEODiff Score 53/100

systeme.ru
📊

At 72/100, the ACRI for systeme.ru indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other infrastructure sites (avg score: 57), systeme.ru performs above the benchmark, suggesting strong competitive positioning in AI search. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. The bloated 24.6× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

53
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (38) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (25×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 23 snapshots
Feb 22 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 21 Content change detected
Does your site score higher than systeme.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)38 × 0.25 = 9.5
🤖 AI Readiness / GEO (40% weight)61 × 0.40 = 24.4
⚡ Performance (20% weight)42 × 0.20 = 8.4
🏗️ Architecture & Trust (15% weight)69 × 0.15 = 10.3
Weighted sum = 9.5 + 24.4 + 8.4 + 10.3
Global SEODiff Score = 53 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
47
Structure
avg 35
0
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #21146
+25 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

systeme.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 systeme.ru ranks here

Tech stackNuxt.js
RenderingSSR
Schema coverage0 blocks
Token bloat24.6×

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

38/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

113 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

333 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://systeme.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
  • ✗ og:description
  • ✗ og:image
  • ✗ 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

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 →
systeme.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 47/100 — Fair
Structured Elements 78 elements (78 lists, 0 rows, 0 headers)
Total Words1193
Raw Density6.5%

🏷️ 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

43
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability43/100 — AI models can partially extract answers from this page
Crawl CostHigh (95/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

4%
🗑️ 96%
Useful Content (25.4 KB)Bloat (599.2 KB)
Token Bloat Ratio24.6× — Heavy

Multimodal Readiness

Visual Context18% Optimized for Vision
Image Alt Coverage17 / 97 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 624.7 KB, but only 25.4 KB is text. 4% useful / 96% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (24.6×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 18% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 95.9% · SNR: 0.04 · Signal: 6513 / Noise: 153407 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 systeme.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
Systems Electric provides engineering and service solutions for the energy industry, including equipment for power distribution and industrial automation, leveraging
Target Audience
Energy industry professionals, industrial automation engineers, IT infrastructure managers, building managers, and partners seeking energy efficiency and reliable solutions.
Pricing Model
Not specified - likely a custom pricing model based on project scope and needs.
🔗 Integration Partners
APC
🛡️ Compliance Standards
ISO 9001:2015ISO 45001ISO 14001
🏆 Competitive Moat
Unique portfolio of Russian products, localized production, comprehensive solutions not available on the Russian market, and expertise from former Schneider Electric management.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNuxt.js
AI-Readiness Score80/100
ServerQRATOR
CDN
HTTP Status200
Load Time1781 ms
Raw HTML Size624.7 KB
Visible Text Size25.4 KB

Performance & Speed

42/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1781 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1428
DOM nodes
625 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

69/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

242
internal links
18
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 systeme.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/systeme.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=systeme.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 118 pages · Deep-10

Homepage ACRI
48
Single-page score
+3
Consistent readability
Δ delta
Site-Wide ACRI
51
Avg across 118 pages · Range 0–66
Topical Cohesion
26%
Topical Drift
TF-IDF cosine similarity
Total Words
35332
Avg Bloat
536.0×
Page Type ACRI Token Bloat Words Status
https://systeme.ru/about
О компании
about 66 206.7× 579
https://systeme.ru/about/nashi-dostizheniya
Наши достижения - Systeme Electric
about 66 124.6× 935
https://systeme.ru/product/SPA40H083FHNN58E
АВТ.ВЫКЛ ACB2 800A 100KA 3P СТАЦ, ГП 6.0E, 8NO+8NC MCH+XF+MX AC230V_СДЕЛАНО В КИТАЕ SPA40H083FHNN58E Systeme Electric (Schneider Electric)
pricing 66 238.5× 631 💰 Pricing
https://systeme.ru/product/EZ9E118P2SRU
City9 Box корпус навесной с белой дв. 1ряд/18мод EZ9E118P2SRU Systeme Electric (Schneider Electric)
pricing 66 240.7× 555 💰 Pricing
https://systeme.ru/product/EZ9E212P2FRU
City9 Box корпус встраиваемый с белой дв. 2ряд/24мод EZ9E212P2FRU Systeme Electric (Schneider Electric)
pricing 66 233.7× 572 💰 Pricing
https://systeme.ru/product/SPA40H323FHNN58E
АВ 32H 3P 6.0E СТАЦ,ГП MCH+MX+XF AC230V_СДЕЛАНО В КИТАЕ SPA40H323FHNN58E Systeme Electric (Schneider Electric)
pricing 66 230.0× 670 💰 Pricing
https://systeme.ru/product/ATN000229
ATLASDESIGN USB РОЗЕТКА A + тип-C 45Вт высокоскор.заряд. QC, PD, механизм, БЕЖЕВЫЙ ATN000229 Systeme Electric (Schneider Electric)
pricing 66 250.4× 534 💰 Pricing
https://systeme.ru/product/SPD2502N3N2503D
АВТОМАТИЧЕСКИЙ ВЫКЛЮЧАТЕЛЬ SYSTEMEPACT CCB DC250 2P50КА/3P50КА 3P TMD250 SPD2502N3N2503D Systeme Electric (Schneider Electric)
pricing 66 261.7× 527 💰 Pricing
https://systeme.ru/product/SPA-E3CT40
ВНЕШН. ТТ В НЕЙТРАЛИ ТСE 1600-4000A ACB2 SPA-E3CT40 Systeme Electric (Schneider Electric)
pricing 66 164.8× 1045 💰 Pricing
https://systeme.ru/product/SPD6303N4B2504D
АВТОМАТИЧЕСКИЙ ВЫКЛЮЧАТЕЛЬ SYSTEMEPACT CCB DC630 3P50КА/3P20КА 4P TMD250 SPD6303N4B2504D Systeme Electric (Schneider Electric)
pricing 66 267.6× 507 💰 Pricing
https://systeme.ru/product/ATN000629
ATLASDESIGN USB РОЗЕТКА A + тип-C 45Вт высокоскор.заряд. QC, PD, механизм, МОККО ATN000629 Systeme Electric (Schneider Electric)
pricing 66 246.9× 542 💰 Pricing
https://systeme.ru/product/BLNVS010505
BLANCA С/У 2-клавишный ВЫКЛЮЧАТЕЛЬ (сх.5), 10А, 250В, ЯСЕНЬ BLNVS010505 Systeme Electric (Schneider Electric)
pricing 66 252.6× 521 💰 Pricing
https://systeme.ru/product/SPA40H104FHNN58H
АВТ.ВЫКЛ. 10H 4P 6.0H СТАЦ. ГП MCH+MX+XF AC 230В_СДЕЛАНО В КИТАЕ SPA40H104FHNN58H Systeme Electric (Schneider Electric)
pricing 66 241.8× 622 💰 Pricing
https://systeme.ru/product/SPA16N084DHNN54H
АВ 08N 4P 6.0H ВЫК,ГП MCH+MX+XF AC230V_СДЕЛАНО В КИТАЕ SPA16N084DHNN54H Systeme Electric (Schneider Electric)
pricing 66 244.1× 616 💰 Pricing
https://systeme.ru/about/showroom
Шоурум дизайнерской электрики Systeme Electric | Электроустановочные изделия для любого решения
about 56 484.0× 227
https://systeme.ru/product/S9F23432
Systeme9 Автоматический выключатель (АВ) D 32A 4P 6kA 400В S9F23432 Systeme Electric (Schneider Electric)
pricing 56 300.7× 417 💰 Pricing
https://systeme.ru/product/S9F31302
Systeme9 Автоматический выключатель (АВ) B 2A 3P 10kA 400В S9F31302 Systeme Electric (Schneider Electric)
pricing 56 308.1× 404 💰 Pricing
https://systeme.ru/product/VS610-156-6-86
W59 1-клавишный ПЕРЕКЛЮЧАТЕЛЬ, 10АХ, механизм, ЧЕРНЫЙ БАРХАТ VS610-156-6-86 Systeme Electric (Schneider Electric)
pricing 56 294.9× 422 💰 Pricing
https://systeme.ru/product/S9F31306
Systeme9 Автоматический выключатель (АВ) B 6A 3P 10kA 400В S9F31306 Systeme Electric (Schneider Electric)
pricing 56 308.1× 404 💰 Pricing
https://systeme.ru/product/ATN101004
ATLASDESIGN ANTIQUE 4-постовая РАМКА, универсальная, КАРБОН ATN101004 Systeme Electric (Schneider Electric)
pricing 56 341.0× 364 💰 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
/product/ 82 57 1% 360.4× Bot Blocked
/about/ 27 47 1% 1181.4× Bot Blocked
/contact/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 56 1% 233.6× Bot Blocked
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 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
/products/ 1 33 1% 1556.3× Bot Blocked
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 118 pages
stock-exchange.systeme.ru ×111
vk.com ×111
mtrele.ru ×111
analogs.tools.systeme.ru ×111
selectivity.tools.systeme.ru ×111
t.me ×111
youtube.com ×111
systemesoft.ru ×111
🔄 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/systeme.ru

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
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📊 Semantic Share of Voice

How often would an AI cite systeme.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 systeme.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": "Systeme",
  "url": "https://systeme.ru",
  "logo": "https://systeme.ru/favicon.ico",
  "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": "Systeme",
  "url": "https://systeme.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://systeme.ru/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 4% 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 Systeme?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Systeme does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Systeme work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Systeme."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
90
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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