Amazon Listing Optimizer

🏆 Aggressive Mode

96-98% Coverage (top 200 keywords)
7-9 EXACT fraz w tytule
Dash-separated format
190-197 chars title (95% wykorzystania)
240-249 bytes backend

📊 Coverage Tracking

Real-time coverage calculation
Tokenized keyword matching
Top 200 keywords tracking
Per-section metrics
Target-based optimization

🔧 Coverage Booster

Automatic description generation
Greedy backend packing
Missing keywords injection
Target ≥90% (customizable to 95%)
Anti-stuffing protection

Metryka	Standard Mode	Aggressive Mode	Improvement
Coverage	82.9%	96.6%	+13.7%
Title Phrases	3-4	7-8	+100%
Title Length	142 chars	190 chars	+48 chars
Backend	180-200B	240-249B	+25%

📖 Quick Start

1️⃣ Instalacja

# Pobierz ZIP lub sklonuj repo
git clone https://github.com/YOUR_USERNAME/amazon-listing-optimizer.git
cd amazon-listing-optimizer

# Sprawdź Python
python3 --version
# Wymagane: Python 3.10+

# Test
python3 amazon_unified_tool.py --help
            

2️⃣ Podstawowe Użycie

python3 amazon_unified_tool.py listing keywords.csv \
  --brand "Your Brand" \
  --product-line "Your Product" \
  --category "Kitchen & Dining" \
  --validate
            

Wynik: ~83% coverage, 140 chars title

3️⃣ Aggressive Mode (Recommended) 🏆

python3 amazon_unified_tool.py listing keywords.csv \
  --brand "Your Brand" \
  --product-line "Your Product" \
  --category "Kitchen & Dining" \
  --aggressive \
  --validate
            

Wynik: 96-98% coverage, 190 chars title, 7-8 EXACT fraz

4️⃣ Ultra Mode (Aggressive + Booster) 🎯

python3 amazon_unified_tool.py listing keywords.csv \
  --brand "Your Brand" \
  --product-line "Your Product" \
  --category "Kitchen & Dining" \
  --aggressive \
  --boost-coverage \
  --coverage-target 95 \
  --validate \
  --feed-out output.csv
            

Wynik: 95-98% coverage, full description, CSV feed ready

📦 Features

✅ No dependencies (stdlib only)
✅ Multi-CSV merge support
✅ DataDive/Helium10 auto-detection
✅ Real-time validation
✅ Amazon feed CSV export
✅ Optional Groq AI enhancement

🧪 Beta Testing

Zobacz BETA_TESTING.md dla pełnej instrukcji testowania.

⚠️ Uwaga: W niektórych niche (np. "drying mat", "stone mat") mogą pojawić się ostrzeżenia o repetition. To normalne! Amazon akceptuje naturalne product terms.

🚀 Amazon Listing Optimizer