verme.ru 53 D
🛡️ SEO 38 🤖 GEO 59 ⚡ Perf 54 🏗️ Arch 61

verme.ru — Global SEODiff Score 53/100

verme.ru
📊

The AI-Readiness profile for verme.ru is strong: an ACRI of 69/100 places it ahead of 64% of domains in the index. In the infrastructure sector, verme.ru outperforms the average (57), suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. The bloated 50.0× 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. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

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 (61×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 6 snapshots
Mar 7 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
📈 Mar 18 ACRI +3 (42→45)
🔄 Mar 16 Content change detected
🔄 Mar 10 Content change detected
Does your site score higher than verme.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)59 × 0.40 = 23.6
⚡ Performance (20% weight)54 × 0.20 = 10.8
🏗️ Architecture & Trust (15% weight)61 × 0.15 = 9.2
Weighted sum = 9.5 + 23.6 + 10.8 + 9.2
Global SEODiff Score = 53 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
49
Structure
avg 35
0
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 4%
Rank #35613
+33 pts
Gap
AI (ACRI)
Top 36%
Score 69/100

verme.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 verme.ru ranks here

Tech stackCustom / Proprietary
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

38/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

74 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

275 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 3
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Verme — повышение эффективности персонала
  • ✓ og:description — Сервис для крупных компаний, который повышает продажи на 5% и снижает затраты на персонал на 10% за счет оптимального планирования и учета персонала.
  • ✗ 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

59/100 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 →
verme.ru
45
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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 49/100 — Fair
Structured Elements 53 elements (53 lists, 0 rows, 0 headers)
Total Words727
Raw Density7.3%

🏷️ 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

41
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability41/100 — AI models can partially extract answers from this page
Crawl CostHigh (85/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (13.0 KB)Bloat (775.8 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context17% Optimized for Vision
Image Alt Coverage3 / 18 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 788.8 KB, but only 13.0 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.
💡Only 17% 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: 98.4% · SNR: 0.02 · Signal: 3315 / Noise: 198607 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 verme.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
Verme provides workforce management solutions for predicting and scheduling linear staff, primarily in retail and logistics.
Target Audience
Retail managers, logistics managers, production managers, HR managers
Pricing Model
Not specified - SaaS model with tiered pricing likely.
🏆 Competitive Moat
Integrated biometric time tracking and flexible scheduling capabilities for linear workforce management.
📊 Content Depth
6/10
⚡ Key Pain Points
• Lack of specific pricing information
• Limited details on integration capabilities
Analyzed by SEODiff AI · 2026-03-02

🔧 Tech Stack

AI-Readiness Score50/100
Serverddos-guard
CDN
HTTP Status200
Load Time759 ms
Raw HTML Size788.8 KB
Visible Text Size13.0 KB

Performance & Speed

54/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

759 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1220
DOM nodes
789 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

61/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

53
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
  • ✓ 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 45/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for verme.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/verme.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=verme.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 86 pages · Deep-10

Homepage ACRI
45
Single-page score
-2
Consistent readability
Δ delta
Site-Wide ACRI
44
Avg across 86 pages · Range 0–80
Topical Cohesion
86%
Strong Alignment
TF-IDF cosine similarity
Total Words
34435
Avg Bloat
364.3×
RAG Fractures [?]
1
⚠️
1 RAG-Chunking Fracture Detected

Poorly formatted tables or pricing grids on 1 page will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://verme.ru/planirovanie-i-prognozirovanie-personala
Планирование и прогнозирование потребности в персонале: методы прогноза, инструменты
pricing 80 16.0× 1696 💰 Pricing
https://verme.ru/kak-optimizirovat-fond-oplaty-truda
Как оптимизировать фонд оплаты труда и сократить расходы на персонал
pricing 80 17.7× 1348 💰 Pricing
https://verme.ru/chto-takoe-wfm
WFM (Workforce Management) система: что это такое, примеры, решения
other 80 18.7× 1319
https://verme.ru/uchetvremeni
Учет рабочего времени сотрудников: как настроить систему контроля
pricing 80 13.5× 2421 💰 Pricing
https://verme.ru/ukomplektovannost-shtata-personalom
Укомплектованность штата сотрудников: что это, расчет обеспеченности кадрами
other 80 18.5× 1304
https://verme.ru/povyshenie-effectivnosti-raboty-sotrudnikov
Повышение эффективности работы сотрудников | как повысить работоспособность персонала
other 80 16.2× 1654
https://verme.ru/kak-sostavit-grafik-raboty
Как составить график работы сотрудников онлайн: образец, программа
pricing 80 15.5× 1695 💰 Pricing
https://verme.ru/kakie-hr-processy-avtomatisirovat
Автоматизация HR-процессов в компании: какие необходимо автоматизировать
pricing 75 22.4× 1044 💰 Pricing
https://verme.ru/kak-wfm-stroit-prognoz
Проблема нехватки признаков в рядах данных: как мы строим прогноз в Verme WFM
pricing 75 21.9× 1004 💰 Pricing
https://verme.ru/nehvatka-personala
Нехватка кадров на предприятии: причина и решение проблемы
pricing 75 24.6× 991 💰 Pricing
https://verme.ru/tabel-ucheta-rabochego-vremeni
Табель учёта рабочего времени: формы, примеры и программы для автоматизации
pricing 75 21.0× 1057 💰 Pricing
https://verme.ru/lamodasport
Кейс Lamoda Sport и Verme: автоматизация планирования графиков и учёта времени
other 75 31.6× 650
https://verme.ru/skolko-stoit-autsorsing
Сколько стоит аутсорсинг персонала | цена кадрового аутсорсинга
pricing 75 26.3× 857 💰 Pricing
https://verme.ru/obiverme
Как OBI увеличил товарооборот на 3,5% с помощью WFM
other 70 25.7× 748
https://verme.ru/online
Онлайн-встреча «WFM на кассах — быстрое повышение прибыли и уровня сервиса. Кейс гипермаркетов OBI»
other 69 172.4× 519
https://verme.ru/kak-zenden-avtomatiziroval-planirovanie-sotrudnikov
Как Zenden автоматизировал планирование сотрудников розничной сети
pricing 67 34.9× 574 💰 Pricing
https://verme.ru/policy
ПОЛИТИКА ОБЩЕСТВА С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ «ВЕРМЕ» В ОТНОШЕНИИ ОБРАБОТКИ ПЕРСОНАЛЬНЫХ ДАННЫХ
other 67 20.0× 891
https://verme.ru/politiceng
Politics
other 67 15.2× 1133
https://verme.ru/vliyanie_pogodnnyh_anomaliy_na_retail
Влияние погодных аномалий на ритейл: как непогода меняет трафик и спрос
other 67 32.8× 573
https://verme.ru/cookie
Сookie
other 62 31.0× 546
Showing 20 of 86 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
/kak-optimizirovat-fond-oplaty-truda/ 1 80 0% 17.7× High JS Bloat
/webinar_vseinstrumenti_verme_october/ 1 59 0% 249.9× High JS Bloat
/fashion22-10/ 1 59 0% 203.0× High JS Bloat
/kak-sozdat-effektivnuyu-hr-strategiyu/ 1 44 0% 118.6× High JS Bloat
/moya-smena-pro-fz/ 1 36 0% 368.1× High JS Bloat
/planirovanie-i-prognozirovanie-personala/ 1 80 0% 16.0× High JS Bloat
/policy/ 1 67 0% 20.0× High JS Bloat
/biometria/ 1 56 0% 262.3× High JS Bloat
/about/ 1 55 1% 135.6× Bot Blocked
/gaid_urv/ 1 26 0% 447.0× High JS Bloat
/anomalnaya_pogoda/ 1 26 0% 384.1× High JS Bloat
/skolko-stoit-autsorsing/ 1 75 0% 26.3× High JS Bloat
/obiverme/ 1 70 0% 25.7× High JS Bloat
/marketplace/ 1 56 0% 136.0× High JS Bloat
/predzakaz/ 1 36 0% 387.0× High JS Bloat
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/verme.ru

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

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📊 Semantic Share of Voice

How often would an AI cite verme.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 verme.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": "Verme",
  "url": "https://verme.ru",
  "logo": "https://static.tildacdn.com/tild3631-6461-4763-a633-356536356233/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": "Verme",
  "url": "https://verme.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://verme.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 Verme?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Verme does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Verme work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Verme."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
69
Projected Score
87
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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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