legrand.com 69 C
🛡️ SEO 58 🤖 GEO 84 ⚡ Perf 39 🏗️ Arch 90

legrand.com — Global SEODiff Score 69/100

legrand.com
📊

At 80/100, the ACRI for legrand.com indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. In the news sector, legrand.com outperforms the average (57), 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. With a 1.3× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (39) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 16, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)84 × 0.40 = 33.6
⚡ Performance (20% weight)39 × 0.20 = 7.8
🏗️ Architecture & Trust (15% weight)90 × 0.15 = 13.5
Weighted sum = 14.5 + 33.6 + 7.8 + 13.5
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
60
Structure
avg 35
42
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #71444
Aligned
Gap
AI (ACRI)
Top 6%
Score 80/100

legrand.com has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why legrand.com ranks here

Tech stackDrupal
Industrynews
RenderingSSR
Schema coverage1 blocks
Token bloat1.3×

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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

55 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

58 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 13
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.legrand.com/en
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Homepage
  • ✗ 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

84/100 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 news sector, medi.de (ACRI: 82) 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 →
legrand.com
67
Your ACRI Score
82
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. medi.de has schema coverage of 4 blocks and uses TYPO3. 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 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 60/100 — Good
Structured Elements 242 elements (242 lists, 0 rows, 0 headers)
Total Words2244
Raw Density10.8%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡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 (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

76%
🗑️ 24%
Useful Content (215.3 KB)Bloat (71.6 KB)
Token Bloat Ratio1.3× — Lean

Multimodal Readiness

Visual Context43% Optimized for Vision
Image Alt Coverage9 / 21 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 43% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

93 Entropy
Good Token Bloat: Low
Noise Ratio: 25.0% · SNR: 3.01 · Signal: 55123 / Noise: 18336 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

SEODiff AI analyzed the extracted content of legrand.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
Legrand provides electrical and digital infrastructure solutions for buildings, specializing in green building technologies and data center solutions. They focus on energy efficiency and sustainability.
Target Audience
Building managers, facility engineers, data center operators, sustainability professionals, and construction companies involved in green building projects.
Pricing Model
Not explicitly stated, but implied to be a multi-tiered model based on company size and needs, likely including subscription-based options.
🔗 Integration Partners
SlackGitHubJira
🛡️ Compliance Standards
CDP
🏆 Competitive Moat
Strong market position in green building solutions, combined with a growing focus on data center infrastructure and a commitment to sustainability, providing a competitive advantage through innovation and a comprehensive portfolio.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-04

🔧 Tech Stack

FrameworkDrupal
AI-Readiness Score70/100
Server
CDN
HTTP Status200
Load Time1614 ms
Raw HTML Size287.0 KB
Visible Text Size215.3 KB

Performance & Speed

39/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1614 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1550
DOM nodes
287 KB
HTML payload
Moderate weight — acceptable for most scenarios

🗄️ Cache & CDN

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

90/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.legrand.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

302
internal links
11
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 67/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for legrand.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/legrand.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=legrand.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 60 pages · Deep-10

Homepage ACRI
67
Single-page score
-8
Moderate hidden bloat
Δ delta
Site-Wide ACRI
60
Avg across 60 pages · Range 0–72
Topical Cohesion
9%
Topical Drift
TF-IDF cosine similarity
Total Words
59300
Avg Bloat
40.6×
Page Type ACRI Token Bloat Words Status
https://www.legrand.com/fr/actualites/legrand-devient-membre-officiel-du-singapore-green-building-council
Legrand devient membre officiel du Singapore Green Buildi... - Legrand
pricing 72 41.0× 1352 💰 Pricing
https://www.legrand.com/en/news/fighting-global-warming-legrand-reasserts-its-determination-reduce-its-energy-footprint
Some title - Legrand
pricing 72 40.7× 1319 💰 Pricing
https://www.legrand.com/fr/actualites/grand-prix-de-lassemblee-generale-2017-legrand-recoit-le-grand-prix-de-lag-du-cac-40
Grand Prix de l'Assemblée Générale 2017 : Legrand reçoit ... - Legrand
pricing 72 34.1× 1641 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-du-1er-trimestre-2005
Résultats du 1er trimestre 2005 - Legrand
pricing 72 42.9× 1282 💰 Pricing
https://www.legrand.com/fr/actualites/legrand-rachete-icm-group
Legrand rachète ICM Group - Legrand
pricing 72 42.6× 1288 💰 Pricing
https://www.legrand.com/fr/actualites/legrand-ndeg1-de-lappareillage-en-chine
Legrand n°1 de l’appareillage en Chine - Legrand
pricing 72 42.7× 1286 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-2004
Résultats 2004 - Legrand
pricing 72 42.8× 1282 💰 Pricing
https://www.legrand.com/fr/actualites/maison-connectee-les-offres-connectees-legrand-et-somfy-deviennent-compatibles
Maison connectée : les offres connectées Legrand et Somfy... - Legrand
pricing 72 35.7× 1569 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-2003
Résultats 2003 - Legrand
pricing 72 42.9× 1279 💰 Pricing
https://www.legrand.com/fr/actualites/legrand-credit-syndique-de-14-milliards-deuros
Legrand : Crédit syndiqué de 1,4 milliards d’euros - Legrand
pricing 72 42.3× 1300 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-du-1er-semestre-2005
Résultats du 1er semestre 2005 - Legrand
pricing 72 42.9× 1282 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-des-9-premiers-mois-2005
Résultats des 9 premiers mois 2005 - Legrand
pricing 72 42.8× 1287 💰 Pricing
https://www.legrand.com/fr/actualites/prise-de-controle-du-groupe-zucchini
Prise de contrôle du groupe Zucchini - Legrand
pricing 72 42.8× 1285 💰 Pricing
https://www.legrand.com/fr/actualites/legrand-finalise-lacquisition-de-milestone-av-technologies-llc
Legrand finalise l'acquisition de Milestone AV Technologi... - Legrand
pricing 72 40.0× 1384 💰 Pricing
https://www.legrand.com/fr/actualites/lutte-contre-le-rechauffement-climatique-legrand-reaffirme-sa-volonte-de-reduire-son
Lutte contre le réchauffement climatique : Legrand réaffi... - Legrand
pricing 72 32.9× 1697 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-des-9-premiers-mois-2004
Résultats des 9 premiers mois 2004 - Legrand
pricing 72 42.8× 1286 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-du-1er-semestre-2003
Résultats du 1er semestre 2003 - Legrand
pricing 72 41.8× 1319 💰 Pricing
https://www.legrand.com/fr/actualites/resultats-du-1er-trimestre-2004
Résultats du 1er trimestre 2004 - Legrand
pricing 72 43.1× 1277 💰 Pricing
https://www.legrand.com/fr/actualites/acquisition-de-onq
Acquisition de OnQ - Legrand
pricing 72 43.0× 1277 💰 Pricing
https://www.legrand.com/fr/actualites/decouvrez-axolute
Découvrez Axolute - Legrand
pricing 72 43.2× 1268 💰 Pricing
Showing 20 of 60 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
/en/ 26 69 0% 54.0× High JS Bloat
/fr/ 25 72 0% 41.4× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 60 pages
pinterest.com ×51
linkedin.com ×51
instagram.com ×51
youtube.com ×51
twitter.com ×51
ups.legrand.com ×51
x.com ×51
facebook.com ×51
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/legrand.com

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

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📊 Semantic Share of Voice

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

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": "Legrand",
  "url": "https://legrand.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://legrand.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
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 Legrand?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Legrand does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Legrand work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Legrand."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
80
Projected Score
87
Improvement
+7 pts
Add WebSite schema +4 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
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