plantes-avenue.fr 71 B
🛡️ SEO 71 🤖 GEO 87 ⚡ Perf 24 🏗️ Arch 93

plantes-avenue.fr — Global SEODiff Score 71/100

plantes-avenue.fr
📊

plantes-avenue.fr has earned a 95/100 ACRI — a tier-1 result that puts it ahead of 99% of sites in the SEODiff Radar. In the ecommerce sector, plantes-avenue.fr outperforms the average (57), suggesting strong competitive positioning in AI search. Content is delivered server-side, meaning bots and AI agents can parse the full page without executing JavaScript. A tight 2.5× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. With 12 JSON-LD schema blocks, the site provides explicit machine-readable metadata that enhances AI comprehension. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (24) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Feb 25, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)71 × 0.25 = 17.8
🤖 AI Readiness / GEO (40% weight)87 × 0.40 = 34.8
⚡ Performance (20% weight)24 × 0.20 = 4.8
🏗️ Architecture & Trust (15% weight)93 × 0.15 = 13.9
Weighted sum = 17.8 + 34.8 + 4.8 + 13.9
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
100
Structure
avg 35
100
Schema
avg 10
55
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 50%+
Rank #950161
-94 pts
Gap
AI (ACRI)
Top 1%
Score 95/100

plantes-avenue.fr 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 plantes-avenue.fr ranks here

Tech stackPrestaShop
Industryecommerce
RenderingHybrid
Schema coverage12 blocks
Token bloat2.5×

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

71/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

51 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

240 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

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

🔍 Indexability

  • ✓ Canonical tag present → https://plantes-avenue.fr/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → fr-FR
  • ✓ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Plantes Avenue - Spécialiste des plantes de jardin
  • ✓ og:description — Plantes Avenue - Spécialiste des plantes de jardin. Découvrez nos nombreuses variétés d'arbustes, de plantes grimpantes, conifères et d'arbres fruitiers. Plus de 15 000 références de plantes pour le jardin, la terrasse ou le potager.
  • ✓ og:image — preview
  • ✓ 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

87/100 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 1553 elements (1542 lists, 11 rows, 0 headers)
Total Words5129
Raw Density30.3%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ✅ Present
Total Schema Blocks12 blocks

Schema Coverage Map

4/7 schema types detected
✅ Organization
✅ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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

99
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability99/100 — AI models can easily extract answers from this page
Crawl CostHigh (70/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

40%
🗑️ 60%
Useful Content (333.9 KB)Bloat (494.2 KB)
Token Bloat Ratio2.5× — Lean

Multimodal Readiness

Visual Context98% Optimized for Vision
Image Alt Coverage202 / 206 images have alt text

TDM Rights

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

🔥 Structural Entropy Check Research

62 Entropy
Fair Token Bloat: Medium
Noise Ratio: 59.7% · SNR: 0.68 · Signal: 85471 / Noise: 126513 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 plantes-avenue.fr 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
Selling a wide range of plants for gardens, terraces, and vegetable gardens
Target Audience
Home gardeners and plant enthusiasts
Pricing Model
Not specified in the text
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-25 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkPrestaShop
AI-Readiness Score55/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time1863 ms
Raw HTML Size828.1 KB
Visible Text Size333.9 KB

Performance & Speed

24/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1863 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

6362
DOM nodes
828 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store, no-cache, must-revalidate
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
facebook.net
📐 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

93/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://plantes-avenue.fr/1_index_sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

1679
internal links
7
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 → fr-FR
  • ✓ 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.

✓ TOP 15% AI-READY

🏆 You Are AI-Verified — Claim Your Badge

Your site scores 88/100 on the AI-Crawler Reality Index. Embed this trust badge on your site — every click sends visitors to your verified report and builds backlinks to your domain.

AI-Verified badge for plantes-avenue.fr
Verified — updates automatically every 24h
<a href="https://seodiff.io/radar/domains/plantes-avenue.fr" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=plantes-avenue.fr" 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.

How it works: The badge queries your ACRI score daily. If your score drops below 80 or your site hasn't been scanned in 30 days, the badge changes to "Pending Audit" (yellow) — prompting you to fix issues and rescan. Learn about ACRI methodology →

🔗 Similar ecommerce Sites

Domains with a similar tech stack, industry, and AI readiness profile to plantes-avenue.fr. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
plantes-avenue.fr (this site) 88 95 PrestaShop 2.5× 12
recifathome.com 74 15 PrestaShop 2.9× 11 Compare →
dutch-passion.com 72 85 PrestaShop 2.6× 11 Compare →
miraggi.com 76 82 PrestaShop 3.6× 10 Compare →
copertini.pt 85 87 PrestaShop 2.8× 4 Compare →
elmundodelpapelpintado.com 85 87 PrestaShop 3.1× 4 Compare →
Compare All 5 Similar Sites →
🩹

Remediation Patches

COPY-PASTE

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

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for plantes-avenue.fr:

Current Score
95
Projected Score
98
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