LLM Skills
~/catalog/growth & conversion//landing-audit
Growth & conversionGitHub source

Request a landing page audit

/landing-audit

Use this command to analyze existing landing pages to identify opportunities for conversion optimization.

TheCraigHewittTheCraigHewitt
7.4k
April 10, 2026
MIT License
// skill content

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 1. Fetches or reads the landing page content 2. Runs comprehensive CRO analysis using multiple analyzers 3. Pulls GA4 performance data (if available for [YOUR COMPANY] pages) 4. Generates prioritized recommendations 5. 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: 1. Fetch page content using WebFetch tool 2. Extract main content from HTML 3. Convert to markdown for analysis For Files: 1. Read the markdown file directly 2. 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 | |--------|-

// original public source
TheCraigHewitt/seomachine
/.claude/commands/landing-audit.md
License: MIT License
Independent project, not affiliated with Anthropic. This skill remains the property of its original author.
// install this skill
Paste this command in your terminal at the root of your project:
mkdir -p .claude/commands && curl -o ".claude/commands/landing-audit.md" "https://raw.githubusercontent.com/TheCraigHewitt/seomachine/main/.claude/commands/landing-audit.md"
Then in Claude Code, type /landing-audit to activate it.
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// information
Stars 7.4k
LicenseMIT License
UpdatedApril 10, 2026
Format.md
AccessFree
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