# Content Calendar & Topic Planning System

A comprehensive content planning and scheduling system that leverages existing SEO tools and AI capabilities to create optimized content calendars based on content gap analysis.

## Folder Structure

```
content_calendar/
├── README.md
├── core/
│   ├── __init__.py
│   ├── calendar_manager.py      # Main calendar management system
│   ├── topic_generator.py       # AI-powered topic generation
│   └── content_predictor.py     # Content performance prediction
├── integrations/
│   ├── __init__.py
│   ├── seo_tools.py            # Integration with existing SEO tools
│   ├── gap_analyzer.py         # Content gap analysis integration
│   └── platform_adapters.py    # Platform-specific content adaptation
├── models/
│   ├── __init__.py
│   ├── calendar.py             # Calendar data models
│   ├── content.py              # Content data models
│   └── analytics.py            # Analytics data models
├── utils/
│   ├── __init__.py
│   ├── date_utils.py           # Date and scheduling utilities
│   ├── validation.py           # Input validation
│   └── error_handling.py       # Error handling utilities
└── tests/
    ├── __init__.py
    ├── test_calendar.py
    ├── test_topic_generator.py
    └── test_integrations.py
```

## Implementation Plan

### Phase 1: Core Infrastructure

1. **Basic Calendar Management**
   - Implement calendar data structures
   - Create scheduling algorithms
   - Build date management utilities

2. **Topic Generation System**
   - Integrate with existing AI tools
   - Implement topic generation logic
   - Add SEO optimization features

3. **Integration Framework**
   - Connect with existing SEO tools
   - Implement content gap analysis integration
   - Create platform-specific adapters

### Phase 2: AI & SEO Enhancement

1. **AI-Powered Features**
   - Implement topic ideation
   - Add content structure generation
   - Create performance prediction models

2. **SEO Optimization**
   - Integrate title optimization
   - Add meta description generation
   - Implement structured data creation

3. **Content Performance**
   - Add performance tracking
   - Implement analytics collection
   - Create reporting system

### Phase 3: UI Development

1. **Calendar Interface**
   - Create interactive calendar view
   - Implement drag-and-drop functionality
   - Add platform-specific views

2. **Content Planning Panel**
   - Build topic suggestion interface
   - Create SEO metrics display
   - Implement content gap visualization

3. **Analytics Dashboard**
   - Design performance metrics view
   - Create engagement tracking
   - Implement progress monitoring

### Phase 4: Testing & Refinement

1. **Testing**
   - Unit testing
   - Integration testing
   - User acceptance testing

2. **Optimization**
   - Performance optimization
   - Code refactoring
   - Bug fixes

3. **Documentation**
   - API documentation
   - User guides
   - Integration guides

## Integration with Existing Tools

### SEO Tools Integration
- `content_title_generator.py` - For optimized titles
- `meta_desc_generator.py` - For meta descriptions
- `seo_structured_data.py` - For structured data
- `content_gap_analysis/` - For gap analysis
- `webpage_content_analysis.py` - For content analysis

### AI Capabilities
- Leverage existing `llm_text_gen` for:
  - Topic generation
  - Content structure
  - Performance prediction

## Key Features

1. **Content Planning**
   - AI-powered topic generation
   - SEO-optimized content scheduling
   - Platform-specific planning

2. **SEO Integration**
   - Automated SEO optimization
   - Performance tracking
   - Gap analysis integration

3. **Analytics & Reporting**
   - Content performance metrics
   - SEO impact tracking
   - Platform engagement stats

## Getting Started

1. **Prerequisites**
   - Python 3.8+
   - Access to existing SEO tools
   - Required API keys

2. **Installation**
   ```bash
   # Add installation steps here
   ```

3. **Configuration**
   ```python
   # Add configuration example here
   ```

4. **Basic Usage**
   ```python
   # Add usage example here
   ```

## Contributing

Guidelines for contributing to the project.

## License

Project license information. 