ma-shops.com 73 B
🛡️ SEO 67 🤖 GEO 81 ⚡ Perf 53 🏗️ Arch 86

ma-shops.com — Global SEODiff Score 73/100

ma-shops.com
📊

At 74/100, the ACRI for ma-shops.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other ecommerce sites (avg score: 57), ma-shops.com performs above the benchmark, suggesting strong competitive positioning in AI search. A ghost ratio of 15% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. A 8.8× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. The site includes 2 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.

73
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (53) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 28, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)67 × 0.25 = 16.8
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)53 × 0.20 = 10.6
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 16.8 + 32.4 + 10.6 + 12.9
Global SEODiff Score = 73 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
45
Structure
avg 36
44
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 5%
Rank #53663
+17 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

ma-shops.com 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 ma-shops.com ranks here

Tech stackCustom / Proprietary
Industryecommerce
RenderingHybrid
Schema coverage2 blocks
Token bloat8.8×

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

67/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

58 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

121 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.ma-shops.com
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✓ 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

81/100 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, plantes-avenue.fr (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 →
ma-shops.com
59
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plantes-avenue.fr has schema coverage of 7 blocks and uses PrestaShop. 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 45/100 — Fair
Structured Elements 59 elements (59 lists, 0 rows, 0 headers)
Total Words983
Raw Density6.0%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

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

59
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability59/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

11%
🗑️ 89%
Useful Content (13.1 KB)Bloat (101.9 KB)
Token Bloat Ratio8.8× — Normal

Multimodal Readiness

Visual Context98% Optimized for Vision
Image Alt Coverage51 / 52 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: 88.6% · SNR: 0.13 · Signal: 3346 / Noise: 26090 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/gemma-3-4b-it-qat-4bit) analyzed the extracted content of ma-shops.com 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
This website is an online marketplace specializing in ancient Celtic coins and artifacts, offering a wide selection of coins, banknotes,
Target Audience
Coin collectors, history enthusiasts, numismatists, and individuals interested in Celtic and ancient European history.
Pricing Model
Variable; prices determined by individual item value and condition, with shipping and taxes calculated at checkout.
🏆 Competitive Moat
Extensive inventory of rare and specialized Celtic coins, combined with a strong reputation and established customer base within the numismatic community.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Template-generated product pages with detailed descriptions and images.Category pages with extensive filtering and sorting options.Search functionality for specific coins and artifacts.
⚡ Key Pain Points
• Limited SEO optimization for individual product pages.
• Lack of mobile responsiveness.
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-03-03 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

AI-Readiness Score50/100
Servercreoline
CDN
HTTP Status200
Load Time1145 ms
Raw HTML Size115.0 KB
Visible Text Size13.1 KB

Performance & Speed

53/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1145 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1004
DOM nodes
115 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

  • ✓ Cache-Control header → 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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

202
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 → en
  • ✓ 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 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for ma-shops.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/ma-shops.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=ma-shops.com" 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 67 pages · Deep-10

Homepage ACRI
59
Single-page score
+16
Subpages outperform homepage
Δ delta
Site-Wide ACRI
75
Avg across 67 pages · Range 69–77
Topical Cohesion
43%
Topical Drift
TF-IDF cosine similarity
Total Words
170234
Avg Bloat
17.4×
RAG Fractures [?]
67
⚠️
67 RAG-Chunking Fractures Detected

Poorly formatted tables or pricing grids on 67 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.

Page Type ACRI Token Bloat Words Status
https://www.ma-shops.com/celtic-coins/belgica-pagus-catuslugi/
Belgica Pagus Catuslugi - Sanctuary Of Bois L'abbe MA Coin shops
pricing 77 17.2× 1738 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/belgica/
Belgica MA Coin shops
pricing 77 11.6× 4904 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/bellovaci/
Bellovaci MA Coin shops
pricing 77 17.5× 2215 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/bituriges-cubi/
Bituriges Cubi MA Coin shops
pricing 77 13.7× 4067 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/tolosates/
Tolosates MA Coin shops
pricing 77 14.8× 2580 ⚠️ RAG Fracture
https://www.ma-shops.com/greek-coins/
Greek Coins MA Coin shops
pricing 77 14.0× 4116 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/saluvii/
Saluvii MA Coin shops
pricing 77 18.8× 1525 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/veliocasses/
Veliocasses MA Coin shops
pricing 77 14.0× 2932 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/turons/
Turons MA Coin shops
pricing 77 14.1× 3327 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/remi/
Remi (Region Reims) MA Coin shops
pricing 77 16.0× 3386 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/namnetes/
Namnètes MA Coin shops
pricing 77 16.0× 2165 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/aulerci-diablintes/
Aulerci Diablintes MA Coin shops
pricing 77 19.2× 1390 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/senones/
Senones MA Coin shops
pricing 77 15.2× 3595 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/suessionnes/
Suessionnes MA Coin shops
pricing 77 18.5× 2039 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/coriosolitae/
Coriosolitae MA Coin shops
pricing 77 12.1× 4691 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/danube-region/
Danube region MA Coin shops
pricing 77 19.0× 1605 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/gaulish/
Gaulish MA Coin shops
pricing 77 17.9× 1771 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/spain/
Spain MA Coin shops
pricing 77 13.0× 4305 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/rhone-valley/
Rhone Valley MA Coin shops
pricing 77 16.0× 2038 ⚠️ RAG Fracture
https://www.ma-shops.com/celtic-coins/aulerci-cenomani/
Aulerci Cenomani MA Coin shops
pricing 77 13.4× 3290 ⚠️ RAG Fracture
Showing 20 of 67 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
/celtic-coins/ 65 75 0% 17.6× High JS Bloat
/greek-coins/ 1 77 0% 14.0× High JS Bloat
/ancient/ 1 77 0% 13.7× High JS Bloat
🔗
Outbound External Citations
0 unique external domains cited across 67 pages
instagram.com ×67
pinterest.de ×67
ngccoin.com ×67
pmgnotes.com ×67
blog.ma-shops.com ×67
facebook.com ×67
linkedin.com ×67
pcgs.com ×67
🔄 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/ma-shops.com

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

🔗 Similar ecommerce Sites

Domains with a similar tech stack, industry, and AI readiness profile to ma-shops.com. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
ma-shops.com (this site) 59 74 Custom / Proprietary 8.8× 2
uttings.co.uk 82 86 Custom / Proprietary 2.2× 2 Compare →
cepsa.es 82 86 Custom / Proprietary 1.9× 2 Compare →
moeve.es 82 86 Custom / Proprietary 1.9× 2 Compare →
negoziodelvino.it 84 86 Custom / Proprietary 1.9× 2 Compare →
epic7db.com 84 86 Custom / Proprietary 1.8× 2 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for ma-shops.com:

Current Score
74
Projected Score
80
Improvement
+6 pts
Reduce token bloat +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