controlengineering.pl 62 C
🛡️ SEO 64 🤖 GEO 76 ⚡ Perf 28 🏗️ Arch 67

controlengineering.pl — Global SEODiff Score 62/100

controlengineering.pl
📊

controlengineering.pl achieves a 82/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Server-side rendering keeps the ghost ratio near zero, giving AI systems direct access to all visible content. Token bloat registers at 12.3× — acceptable, but reducing inline scripts and redundant markup could yield measurable gains. The presence of 6 structured data blocks ensures search engines and AI agents can accurately classify and extract entities from the page. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

62
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (28) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 2 snapshots
Mar 10 Mar 15
🔔 Recent AI Indexing Activity
🔄 Mar 15 Content change detected
🔄 Mar 10 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)76 × 0.40 = 30.4
⚡ Performance (20% weight)28 × 0.20 = 5.6
🏗️ Architecture & Trust (15% weight)67 × 0.15 = 10.0
Weighted sum = 16.0 + 30.4 + 5.6 + 10.0
Global SEODiff Score = 62 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
53
Structure
avg 35
52
Schema
avg 9
85
Tech Stack
avg 63

Why controlengineering.pl ranks here

Tech stackWordPress
Industry
RenderingSSR
Schema coverage6 blocks
Token bloat12.3×

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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

52 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

310 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 5
  • ✓ Has <h2> headings — found 1
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Automatyka Przemysłowa - Control Engineering Polska
  • ✓ og:description — Misją magazynu Control Engineering Polska ? marki rozpoznawanej w branży automatyki od blisko 65 lat na całym świecie i od 2003 roku na rynku polskim, jest dostarczanie informacji dla rynku sterowania, oprzyrządowania i automatyki. Chcemy przekazać czytelnikom w formie drukowanej i dostępnej on-line...
  • ✗ og:image
  • ✓ 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

76/100 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.

🚨

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 53/100 — Fair
Structured Elements 235 elements (235 lists, 0 rows, 0 headers)
Total Words2748
Raw Density8.6%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks6 blocks

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

62
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability62/100 — 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

8%
🗑️ 92%
Useful Content (56.0 KB)Bloat (633.7 KB)
Token Bloat Ratio12.3× — Normal

Multimodal Readiness

Visual Context3% Optimized for Vision
Image Alt Coverage4 / 148 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 3% 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: 91.9% · SNR: 0.09 · Signal: 14338 / Noise: 162218 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

FrameworkWordPress
AI-Readiness Score85/100
ServerLiteSpeed
CDN
HTTP Status200
Load Time1656 ms
Raw HTML Size689.7 KB
Visible Text Size56.0 KB

Performance & Speed

28/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1656 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3168
DOM nodes
690 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

5
tracker scripts
2
third-party domains
0.0%
token overhead
Moderate trackers — consider lazy-loading non-essential scripts
googletagmanager.comgooglesyndication.com
📐 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

67/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

710
internal links
16
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 → en-US
  • ✓ 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 67/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for controlengineering.pl
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/controlengineering.pl" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=controlengineering.pl" 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.

🔗 Similar Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
controlengineering.pl (this site) 67 82 WordPress 12.3× 6
hultsfred.se 77 90 WordPress 9.2× 2 Compare →
brilliance.co.jp 77 90 WordPress 3.3× 3 Compare →
globalinitiative.net 77 86 WordPress 2.6× 1 Compare →
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📊 Semantic Share of Voice

How often would an AI cite controlengineering.pl 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 controlengineering.pl. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 8% 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 Controlengineering?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Controlengineering does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Controlengineering work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Controlengineering."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for controlengineering.pl:

Current Score
82
Projected Score
90
Improvement
+8 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?
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