monorim.org 69 C
🛡️ SEO 63 🤖 GEO 88 ⚡ Perf 27 🏗️ Arch 82

monorim.org — Global SEODiff Score 69/100

monorim.org
📊

monorim.org shows strong AI visibility with an ACRI of 82/100, outperforming 96% of indexed domains. Compared to other ecommerce sites (avg score: 58), monorim.org 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 token bloat ratio sits at a lean 3.3×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. The site includes 3 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

69
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 27, 2026 · 📋 API
📈 ACRI Trend 3 snapshots
Feb 23 Feb 27
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)63 × 0.25 = 15.8
🤖 AI Readiness / GEO (40% weight)88 × 0.40 = 35.2
⚡ Performance (20% weight)27 × 0.20 = 5.4
🏗️ Architecture & Trust (15% weight)82 × 0.15 = 12.3
Weighted sum = 15.8 + 35.2 + 5.4 + 12.3
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
75
Structure
avg 36
46
Schema
avg 9
55
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #529703
-48 pts
Gap
AI (ACRI)
Top 4%
Score 82/100

monorim.org ranks much higher on Google (Tranco Top 50%+) than in AI search (Top 4%). This is the 'Invisible Giant' pattern — implement the patches above to close the AI gap. ACRI measures technical crawler readiness. Read the methodology →

Why monorim.org ranks here

Tech stackPrestaShop
Industryecommerce
RenderingHybrid
Schema coverage3 blocks
Token bloat3.3×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

63/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

100 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

120 chars
Good length

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://www.monorim.org/en/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en-US
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — MONORIM.org - Parts, upgrades and spare parts - suspension, brakes, motors, tires - Electric Scooter
  • ✓ og:description — Spare parts and parts for Xiaomi M365, Essential, 1S, Pro2, M365 Pro, Ninebot Max G30, G30D or G30LP electric skateboard
  • ✗ 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

88/100 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 ecommerce sector, stylekorean.com (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 →
monorim.org
75
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. stylekorean.com has schema coverage of 4 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.

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 75/100 — Good
Structured Elements 197 elements (197 lists, 0 rows, 0 headers)
Total Words1162
Raw Density17.0%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks3 blocks

Schema Coverage Map

2/7 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.
💡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.

📐 AI Efficiency Metrics Docs

78
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability78/100 — AI models can easily extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

30%
🗑️ 70%
Useful Content (75.1 KB)Bloat (174.2 KB)
Token Bloat Ratio3.3× — Lean

Multimodal Readiness

Visual Context93% Optimized for Vision
Image Alt Coverage57 / 61 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

43 Entropy
Fair Token Bloat: Medium
Noise Ratio: 69.9% · SNR: 0.43 · Signal: 19234 / Noise: 44607 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 monorim.org 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
Spare parts and upgrades for electric scooters
Target Audience
Owners of electric scooters
Pricing Model
Not specified
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

FrameworkPrestaShop
AI-Readiness Score55/100
ServerApache
CDN
HTTP Status200
Load Time10216 ms
Raw HTML Size249.4 KB
Visible Text Size75.1 KB

Performance & Speed

27/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

10216 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1866
DOM nodes
249 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✗ 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

82/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.monorim.org/1_index_sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

280
internal links
2
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 75/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
monorim.org (this site) 75 82 PrestaShop 3.3× 3
boutique.stadetoulousain.fr 83 87 PrestaShop 2.3× 3 Compare →
ferrolan.es 83 87 PrestaShop 2.3× 4 Compare →
elmundodelpapelpintado.com 85 87 PrestaShop 3.1× 4 Compare →
lindseyteak.com 84 87 PrestaShop 2.1× 4 Compare →
ilovebike.it 83 87 PrestaShop 3.0× 5 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to monorim.org. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

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 Monorim?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Monorim does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Monorim work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Monorim."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for monorim.org:

Current Score
82
Projected Score
85
Improvement
+3 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