gmonit.ru 39 F
🛡️ SEO 38 🤖 GEO 46 ⚡ Perf 11 🏗️ Arch 58

gmonit.ru — Global SEODiff Score 39/100

gmonit.ru
📊

With a 62/100 ACRI, gmonit.ru has a moderate AI visibility profile — functional but not yet optimized for AI crawlers. Within the developer vertical, this places gmonit.ru above the industry average of 57 —, suggesting strong competitive positioning in AI search. While the majority of content is server-rendered, the 30% ghost ratio suggests some content remains invisible to static crawlers. A 34.6× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Zero schema blocks puts this site at a disadvantage in knowledge graph and AI-answer pipelines that rely on explicit structured data. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

39
F — Global SEODiff Score
Comprehensive search visibility assessment
Critical gaps across the board. Start with Performance (11).
🎯 Top Fix: Reduce token bloat (35×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
Does your site score higher than gmonit.ru?
Run the same 40-signal audit on your own domain — free, instant results.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)38 × 0.25 = 9.5
🤖 AI Readiness / GEO (40% weight)46 × 0.40 = 18.4
⚡ Performance (20% weight)11 × 0.20 = 2.2
🏗️ Architecture & Trust (15% weight)58 × 0.15 = 8.7
Weighted sum = 9.5 + 18.4 + 2.2 + 8.7
Global SEODiff Score = 39 (F)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
84
Rendering
avg 93
32
Structure
avg 35
0
Schema
avg 10
50
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #28580
+45 pts
Gap
AI (ACRI)
Top 47%
Score 62/100

gmonit.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 gmonit.ru ranks here

Tech stackReact
Industrydeveloper
RenderingHybrid
Schema coverage0 blocks
Token bloat34.6×

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

166 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

268 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — GMONIT
  • ✓ og:description — Observability платформа для командной работы. Российское решение, основанное на лучших мировых практиках
  • ✓ 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

46/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
gmonit.ru
38
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. 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 trapped in non-rendered regions (JavaScript-dependent content invisible to AI crawlers). Combined with 34.6x 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 32/100 — Low
Structured Elements 212 elements (212 lists, 0 rows, 0 headers)
Total Words7113
Raw Density3.0%
💡Low structure score (32/100). Your content appears as a wall of text with few structured HTML elements. You have 212 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

33
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability33/100 — 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 (122.4 KB)Bloat (4115.4 KB)
Token Bloat Ratio34.6× — Bloated

Multimodal Readiness

Visual Context0% Optimized for Vision
Image Alt Coverage0 / 211 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 4237.8 KB, but only 122.4 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (34.6×) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.
💡Only 0% 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: 97.1% · SNR: 0.03 · Signal: 31332 / Noise: 1053544 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…

🔧 Tech Stack

FrameworkReact
AI-Readiness Score50/100
Serverddos-guard
CDN
HTTP Status200
Load Time2284 ms
Raw HTML Size4237.8 KB
Visible Text Size122.4 KB

Performance & Speed

11/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2284 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

5039
DOM nodes
4238 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

58/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

231
internal links
19
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
  • ✓ 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 38/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for gmonit.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/gmonit.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=gmonit.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 4 pages · Deep-10

Homepage ACRI
38
Single-page score
+8
Consistent readability
Δ delta
Site-Wide ACRI
46
Avg across 4 pages · Range 29–72
Total Words
2138
Avg Bloat
7682.4×
Ext. Citations
16
Page Type ACRI Token Bloat Words Status
https://gmonit.ru/about
О компании GMONIT
about 72 261.5× 1283
https://gmonit.ru/products
Прозрачность и контроль данных для продакт-менеджеров
product 56 450.1× 824
https://gmonit.ru/blog
Блог GMONIT - Новости нашей команды
blog 29 23100.2× 7
https://gmonit.ru/contact
Контакты GMONIT
support 29 6917.8× 24
🔗
Outbound External Citations
16 unique external domains cited across 4 pages
tadviser.ru ×4
drive.google.com ×4
cnews.ru ×4
russoft.ru ×4
vc.ru ×4
t.me ×4
reestr.digital.gov.ru ×4
youtube.com ×4
🔄 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/gmonit.ru

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
gmonit.ru (this site) 38 62 React 34.6× 0
manpower.de 39 15 React 30.1× 0 Compare →
xdsoft.net 35 15 React 39.7× 0 Compare →
bit.dev 25 56 React 29.6× 0 Compare →
experis.com 34 15 React 24.7× 0 Compare →
pages.fm 31 56 React 44.1× 0 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to gmonit.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": "Gmonit",
  "url": "https://gmonit.ru",
  "logo": "https://static.tildacdn.com/tild3235-6434-4266-b863-613431306333/icon_1_1.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": "Gmonit",
  "url": "https://gmonit.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://gmonit.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 Gmonit?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Gmonit does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Gmonit work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Gmonit."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
62
Projected Score
80
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