appm.ru 63 C
🛡️ SEO 55 🤖 GEO 80 ⚡ Perf 27 🏗️ Arch 77

appm.ru — Global SEODiff Score 63/100

appm.ru
📊

appm.ru has earned a 86/100 ACRI — a tier-1 result that puts it ahead of 99% of sites in the SEODiff Radar. In the infrastructure sector, appm.ru outperforms the average (57), suggesting strong competitive positioning in AI search. The rendering approach is hybrid, with a moderate ghost ratio of 15% — most content is accessible without JS, though some elements are client-rendered. A 10.7× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The site includes 3 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.

63
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (27) is your bottleneck.
🎯 Top Fix: Fix title tag length → +3 pts
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
Does your site score higher than appm.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)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)27 × 0.20 = 5.4
🏗️ Architecture & Trust (15% weight)77 × 0.15 = 11.5
Weighted sum = 13.8 + 32.0 + 5.4 + 11.5
Global SEODiff Score = 63 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
100
Structure
avg 35
46
Schema
avg 10
55
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #985666
-97 pts
Gap
AI (ACRI)
Top 1%
Score 86/100

appm.ru ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 1%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why appm.ru ranks here

Tech stackExpress
RenderingHybrid
Schema coverage3 blocks
Token bloat10.7×

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

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

73 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

201 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://www.appm.ru/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → id-ID
  • ✗ Hreflang tags
  • ✓ 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

80/100 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 →
appm.ru
75
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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 290 elements (290 lists, 0 rows, 0 headers)
Total Words956
Raw Density30.3%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ✅ Present
Total Schema Blocks3 blocks

Schema Coverage Map

3/7 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.
💡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

74
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability74/100 — AI models can easily extract answers from this page
Crawl CostMedium (65/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

9%
🗑️ 91%
Useful Content (41.9 KB)Bloat (407.3 KB)
Token Bloat Ratio10.7× — Normal

Multimodal Readiness

Visual Context83% Optimized for Vision
Image Alt Coverage34 / 41 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 90.7% · SNR: 0.10 · Signal: 10721 / Noise: 104274 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

A local LLM (mlx-community/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of appm.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
Manufacture and supply of cardboard, paper, and cellulose products
Target Audience
Industrial and commercial customers, packaging and paper industry
Pricing Model
Not explicitly stated, but likely volume-based or contract pricing
🛡️ Compliance Standards
ISO 9001:2015ISO 14001:2015ISO 45001:2018
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-26 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkExpress
AI-Readiness Score55/100
Serverddos-guard
CDN
HTTP Status200
Load Time2959 ms
Raw HTML Size449.2 KB
Visible Text Size41.9 KB

Performance & Speed

27/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

2959 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1759
DOM nodes
449 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

77/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

278
internal links
33
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 → id-ID
  • ✓ 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 75/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for appm.ru
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/appm.ru" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=appm.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 2 pages · Deep-10

Homepage ACRI
75
Single-page score
-18
Moderate hidden bloat
Δ delta
Site-Wide ACRI
57
Avg across 2 pages · Range 52–62
🔍
Hidden Bloat Detected

Homepage scores 75, but internal pages average only 57 — a -18-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Total Words
1057
Avg Bloat
34.2×
Ext. Citations
8
Page Type ACRI Token Bloat Words Status
https://appm.ru/about
О предприятии
about 62 29.4× 634
https://appm.ru/products
Продукция
product 52 39.0× 423
🔗
Outbound External Citations
8 unique external domains cited across 2 pages
arh-tissue.ru ×2
drive.appm.ru:5001 ×2
t.me ×2
arkhbum.com ×2
ecom.appm.ru ×2
vk.com ×2
arh-pak.ru ×2
arkhbum.ru ×2
🔄 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/appm.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 appm.ru. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
appm.ru (this site) 75 86 Express 10.7× 3
emperials.net 75 86 Express 9.8× 3 Compare →
melodishop.com 76 85 Express 11.3× 3 Compare →
discoland.fi 76 86 Express 11.3× 3 Compare →
pablogavicz.biz 77 92 Express 10.5× 3 Compare →
vpd.fi 76 86 Express 10.0× 3 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to appm.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": "Appm",
  "url": "https://appm.ru",
  "logo": "https://images.squarespace-cdn.com/content/v1/669a1c564f086d602fe64f49/61b3ac8a-57bc-43cb-a9c0-1322ee7866ca/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": "Appm",
  "url": "https://appm.ru",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://appm.ru/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 9% 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 Appm?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Appm does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Appm work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Appm."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
86
Projected Score
100
Improvement
+14 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