Growth & conversionsource GitHub
Commande d'audit de la page de destination
/landing-auditUtilisez cette commande pour analyser les pages de destination existantes afin d'identifier les possibilités d'optimisation de la conversion.
// contenu du skill
Landing Page Audit Command
Use this command to audit existing landing pages for conversion optimization opportunities.
Usage
/landing-audit [URL or file path] --goal [trial|demo|lead]
Examples:
/landing-audit https://yoursite.com/private-producting-solutions//landing-audit landing-pages/product-hosting-beginners-2025-12-11.md --goal trial/landing-audit https://yoursite.com/pricing/ --goal trial
Defaults:
--goal trial(if not specified)
What This Command Does
- Fetches or reads the landing page content
- Runs comprehensive CRO analysis using multiple analyzers
- Pulls GA4 performance data (if available for [YOUR COMPANY] pages)
- Generates prioritized recommendations
- Saves audit report for reference
Analysis Modules Used
1. Landing Page Scorer
Module: data_sources/modules/landing_page_scorer.py
- Overall score (0-100) against CRO best practices
- Category scores: Above-fold, CTAs, Trust signals, Structure, SEO
- Critical issues and warnings
- Publishing readiness assessment
2. Above-the-Fold Analyzer
Module: data_sources/modules/above_fold_analyzer.py
- Headline quality assessment
- Value proposition clarity
- CTA visibility check
- Trust signal presence
- 5-second test evaluation
3. CTA Analyzer
Module: data_sources/modules/cta_analyzer.py
- CTA count and distribution
- Individual CTA quality scoring
- Goal alignment check
- Placement recommendations
4. Trust Signal Analyzer
Module: data_sources/modules/trust_signal_analyzer.py
- Testimonial analysis (count, quality, specificity)
- Social proof detection
- Risk reversal presence
- Authority signals
5. CRO Checker
Module: data_sources/modules/cro_checker.py
- Checklist-based audit (30+ checks)
- Pass/fail for each CRO best practice
- Critical failures identification
- Category-by-category breakdown
Process
Step 1: Content Retrieval
For URLs:
- Fetch page content using WebFetch tool
- Extract main content from HTML
- Convert to markdown for analysis
For Files:
- Read the markdown file directly
- Parse metadata and content
Step 2: Run All Analyzers
Run each module in sequence:
python
# Example analysis flow
from data_sources.modules.landing_page_scorer import score_landing_page
from data_sources.modules.above_fold_analyzer import analyze_above_fold
from data_sources.modules.cta_analyzer import analyze_ctas
from data_sources.modules.trust_signal_analyzer import analyze_trust_signals
from data_sources.modules.cro_checker import check_cro
# Run all analyses
lp_score = score_landing_page(content, page_type, goal)
above_fold = analyze_above_fold(content)
ctas = analyze_ctas(content, goal)
trust = analyze_trust_signals(content)
cro = check_cro(content, page_type, goal)Step 3: Performance Data ([YOUR COMPANY] Pages Only)
For yoursite.com pages, pull GA4 data if available:
- Page views (last 30 days)
- Bounce rate
- Average time on page
- Conversion events (if tracked)
- Traffic sources
Step 4: Generate Report
Compile all findings into a comprehensive audit report.
Output Format
Audit Report Structure
markdown
# Landing Page Audit Report
**URL/File**: [source]
**Audit Date**: [date]
**Conversion Goal**: [trial|demo|lead]
---
## Executive Summary
| Metric | Score | Grade |
|--------|-------|-------|
| Overall Landing Page Score | XX/100 | [Grade] |
| Above-the-Fold | XX/100 | |
| CTA Effectiveness | XX/100 | |
| Trust Signals | XX/100 | |
| CRO Checklist | XX% passed | |
**Publishing Ready**: [Yes/No]
---
## Critical Issues (Fix Immediately)
1. [Critical issue 1]
2. [Critical issue 2]
---
## Above-the-Fold Analysis
**5-Second Test**: [Pass/Fail]
| Element | Status | Details |
|---------|--------|---------|
| Headline | [✓/✗] | [details] |
| Value Prop | [✓/✗] | [details] |
| CTA | [✓/✗] | [details] |
| Trust Signal | [✓/✗] | [details] |
**Recommendations:**
- [Recommendation 1]
- [Recommendation 2]
---
## CTA Analysis
**Total CTAs**: [count]
**Distribution Quality**: [excellent/good/poor]
**Goal Alignment**: [XX%]
| CTA | Position | Quality Score | Issues |
|-----|----------|---------------|--------|
| [text] | [X%] | [score] | [issues] |
**Recommendations:**
- [Recommendation 1]
- [Recommendation 2]
---
## Trust Signal Analysis
**Overall Trust Score**: [XX/100]
| Signal Type | Present | Quality |
|-------------|---------|---------|
| Testimonials | [✓/✗] | [strong/moderate/weak] |
| Customer Count | [✓/✗] | |
| Specific Results | [✓/✗] | |
| Risk Reversal | [✓/✗] | |
**Recommendations:**
- [Recommendation 1]
- [Recommendation 2]
---
## CRO Checklist Summary
**Passed**: [X]/[total] checks
**Critical Failures**: [count]
### Failed Checks (by priority)
**Critical:**
- [ ] [Check name] - [details]
**Important:**
- [ ] [Check name] - [details]
**Nice-to-Have:**
- [ ] [Check name] - [details]
---
## Performance Data (if available)
| Metric | Value | Benchmark |
|--------|-// source originale publique
TheCraigHewitt/seomachine/.claude/commands/landing-audit.md
Licence : MIT License
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
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