Add AI-powered meta description generation
- Add meta_description command to generate SEO-optimized meta descriptions - Use AI to generate compelling, length-optimized descriptions (120-160 chars) - Support --only-missing flag for posts without meta descriptions - Support --only-poor flag to improve low-quality meta descriptions - Include quality validation scoring (0-100) - Add call-to-action detection and optimization - Generate detailed CSV reports with validation metrics - Add comprehensive documentation (META_DESCRIPTION_GUIDE.md) Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
This commit is contained in:
Kevin Bataille
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META_DESCRIPTION_GUIDE.md
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327
META_DESCRIPTION_GUIDE.md
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# Meta Description Generation Guide
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AI-powered meta description generation and optimization for WordPress posts.
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## Overview
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The meta description generator uses AI to create SEO-optimized meta descriptions for your blog posts. It can:
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- **Generate new meta descriptions** for posts without them
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- **Improve existing meta descriptions** that are poor quality
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- **Optimize length** (120-160 characters - ideal for SEO)
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- **Include focus keywords** naturally
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- **Add call-to-action** elements when appropriate
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## Usage
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### Generate for All Posts
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```bash
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# Generate meta descriptions for all posts
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./seo meta_description
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# Use a specific CSV file
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./seo meta_description output/all_posts_2026-02-16.csv
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```
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### Generate Only for Missing Meta Descriptions
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```bash
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# Only generate for posts without meta descriptions
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./seo meta_description --only-missing
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```
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### Improve Poor Quality Meta Descriptions
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```bash
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# Only regenerate meta descriptions with poor quality scores
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./seo meta_description --only-poor
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# Limit to first 10 poor quality meta descriptions
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./seo meta_description --only-poor --limit 10
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```
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### Dry Run Mode
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Preview what would be processed:
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```bash
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./seo meta_description --dry-run
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./seo meta_description --dry-run --only-missing
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```
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## Command Options
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| Option | Description |
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|--------|-------------|
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| `--only-missing` | Only generate for posts without meta descriptions |
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| `--only-poor` | Only generate for posts with poor quality meta descriptions |
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| `--limit <N>` | Limit number of posts to process |
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| `--output`, `-o` | Custom output file path |
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| `--dry-run` | Preview without generating |
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| `--verbose`, `-v` | Enable verbose logging |
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## How It Works
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### 1. Content Analysis
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The AI analyzes:
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- Post title
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- Content preview (first 500 characters)
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- Excerpt (if available)
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- Focus keyword (if specified)
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- Current meta description (if exists)
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### 2. AI Generation
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The AI generates meta descriptions following SEO best practices:
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- **Length**: 120-160 characters (optimal for search engines)
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- **Keywords**: Naturally includes focus keyword
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- **Compelling**: Action-oriented and engaging
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- **Accurate**: Clearly describes post content
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- **Active voice**: Uses active rather than passive voice
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- **Call-to-action**: Includes CTA when appropriate
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### 3. Quality Validation
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Each generated meta description is scored on:
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- **Length optimization** (120-160 chars = 100 points)
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- **Proper ending** (period = +5 points)
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- **Call-to-action words** (+5 points)
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- **Overall quality** (minimum 70 points to pass)
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### 4. Output
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Results are saved to CSV with:
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- Original meta description
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- Generated meta description
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- Length of generated meta
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- Validation score (0-100)
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- Whether length is optimal
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- Whether it's an improvement
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## Output Format
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The tool generates a CSV file in `output/`:
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```
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output/meta_descriptions_20260216_143022.csv
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```
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### CSV Columns
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| Column | Description |
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|--------|-------------|
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| `post_id` | WordPress post ID |
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| `site` | Site name |
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| `title` | Post title |
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| `current_meta_description` | Existing meta (if any) |
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| `generated_meta_description` | AI-generated meta |
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| `generated_length` | Character count |
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| `validation_score` | Quality score (0-100) |
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| `is_optimal_length` | True if 120-160 chars |
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| `improvement` | True if better than current |
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| `status` | Generation status |
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## Examples
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### Example 1: Generate All Missing Meta Descriptions
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```bash
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# Export posts first
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./seo export
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# Generate meta descriptions for posts without them
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./seo meta_description --only-missing
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```
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**Output:**
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```
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Generating AI-optimized meta descriptions...
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Filter: Only posts without meta descriptions
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Processing post 1/45
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✓ Generated meta description (score: 95, length: 155)
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...
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✅ Meta description generation completed!
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Results: output/meta_descriptions_20260216_143022.csv
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📊 Summary:
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Total processed: 45
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Improved: 42 (93.3%)
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Optimal length: 40 (88.9%)
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Average score: 92.5
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API calls: 45
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```
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### Example 2: Fix Poor Quality Meta Descriptions
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```bash
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# Only improve meta descriptions scoring below 70
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./seo meta_description --only-poor --limit 20
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```
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### Example 3: Test with Small Batch
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```bash
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# Test with first 5 posts
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./seo meta_description --limit 5
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```
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### Example 4: Custom Output File
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```bash
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./seo meta_description --output output/custom_meta_gen.csv
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```
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## Meta Description Quality Scoring
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### Scoring Criteria
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| Criteria | Points |
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|----------|--------|
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| Optimal length (120-160 chars) | 100 |
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| Too short (< 120 chars) | 50 - (deficit) |
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| Too long (> 160 chars) | 50 - (excess) |
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| Ends with period | +5 |
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| Contains CTA words | +5 |
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### Quality Thresholds
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- **Excellent (90-100)**: Ready to use
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- **Good (70-89)**: Minor improvements possible
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- **Poor (< 70)**: Needs regeneration
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### CTA Words Detected
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The system looks for action words like:
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- learn, discover, find, explore
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- read, get, see, try, start
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- and more...
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## Best Practices
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### Before Generation
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1. **Export fresh data** - Ensure you have latest posts
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```bash
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./seo export
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```
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2. **Review focus keywords** - Posts with focus keywords get better results
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3. **Test with small batch** - Try with `--limit 5` first
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### During Generation
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1. **Monitor scores** - Watch validation scores in real-time
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2. **Check API usage** - Track number of API calls
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3. **Use filters** - Target only what needs improvement
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### After Generation
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1. **Review results** - Open the CSV and check generated metas
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2. **Manual approval** - Don't auto-publish; review first
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3. **A/B test** - Compare performance of new vs old metas
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## Integration with WordPress
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### Manual Update
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1. Open the generated CSV: `output/meta_descriptions_*.csv`
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2. Copy generated meta descriptions
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3. Update in WordPress SEO plugin (RankMath, Yoast, etc.)
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### Automated Update (Future)
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Future versions may support direct WordPress updates:
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```bash
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# Not yet implemented
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./seo meta_description --apply-to-wordpress
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```
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## API Usage & Cost
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### API Calls
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- Each post requires 1 API call
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- Rate limited to 2 calls/second (0.5s delay)
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- Uses Claude AI via OpenRouter
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### Estimated Cost
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Approximate cost per 1000 meta descriptions:
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- **~$0.50 - $2.00** depending on content length
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- Check OpenRouter pricing for current rates
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### Monitoring
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The summary shows:
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- Total API calls made
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- Cost tracking (if enabled)
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## Troubleshooting
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### No Posts to Process
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**Problem:** "No posts to process"
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**Solutions:**
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1. Export posts first: `./seo export`
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2. Check CSV has required columns
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3. Verify filter isn't too restrictive
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### Low Quality Scores
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**Problem:** Generated metas scoring below 70
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**Solutions:**
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1. Add focus keywords to posts
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2. Provide better content previews
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3. Try regenerating with different parameters
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### API Errors
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**Problem:** "API call failed"
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**Solutions:**
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1. Check internet connection
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2. Verify API key in `.env`
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3. Check OpenRouter account status
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4. Reduce batch size with `--limit`
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### Rate Limiting
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**Problem:** Too many API calls
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**Solutions:**
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1. Use `--limit` to batch process
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2. Wait between batches
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3. Upgrade API plan if needed
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## Comparison with Other Tools
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| Feature | This Tool | Other SEO Tools |
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|---------|-----------|-----------------|
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| AI-powered | ✅ Yes | ⚠️ Sometimes |
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| Batch processing | ✅ Yes | ✅ Yes |
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| Quality scoring | ✅ Yes | ❌ No |
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| Custom prompts | ✅ Yes | ❌ No |
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| WordPress integration | ⚠️ Manual | ✅ Some |
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| Cost | Pay-per-use | Monthly subscription |
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## Related Commands
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- `seo export` - Export posts for analysis
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- `seo analyze` - AI analysis with recommendations
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- `seo seo_check` - SEO quality checking
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## See Also
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- [README.md](README.md) - Main documentation
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- [ENHANCED_ANALYSIS_GUIDE.md](ENHANCED_ANALYSIS_GUIDE.md) - AI analysis guide
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- [EDITORIAL_STRATEGY_GUIDE.md](EDITORIAL_STRATEGY_GUIDE.md) - Content strategy
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---
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**Made with ❤️ for better SEO automation**
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@@ -5,7 +5,7 @@ SEO Application Core - Integrated SEO automation functionality
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import logging
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from pathlib import Path
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from datetime import datetime
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from typing import Optional, List, Tuple
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from typing import Optional, List, Tuple, Dict
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from .exporter import PostExporter
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from .analyzer import EnhancedPostAnalyzer
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@@ -13,6 +13,7 @@ from .category_proposer import CategoryProposer
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from .category_manager import WordPressCategoryManager, CategoryAssignmentProcessor
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from .editorial_strategy import EditorialStrategyAnalyzer
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from .post_migrator import WordPressPostMigrator
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from .meta_description_generator import MetaDescriptionGenerator
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logger = logging.getLogger(__name__)
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@@ -282,6 +283,42 @@ class SEOApp:
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return status_info
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def generate_meta_descriptions(self, csv_file: Optional[str] = None,
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output_file: Optional[str] = None,
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only_missing: bool = False,
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only_poor_quality: bool = False,
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limit: Optional[int] = None) -> Tuple[str, Dict]:
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"""
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Generate AI-optimized meta descriptions for posts.
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Args:
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csv_file: Path to CSV file with posts (uses latest export if not provided)
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output_file: Custom output file path for results
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only_missing: Only generate for posts without meta descriptions
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only_poor_quality: Only generate for posts with poor quality meta descriptions
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limit: Maximum number of posts to process
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Returns:
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Tuple of (output_file_path, summary_dict)
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"""
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logger.info("✨ Generating AI-optimized meta descriptions...")
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if not csv_file:
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csv_file = self._find_latest_export()
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if not csv_file:
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raise FileNotFoundError("No exported posts found. Run export() first or provide a CSV file.")
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logger.info(f"Using file: {csv_file}")
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generator = MetaDescriptionGenerator(csv_file)
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return generator.run(
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output_file=output_file,
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only_missing=only_missing,
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only_poor_quality=only_poor_quality,
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limit=limit
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)
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def _find_latest_export(self) -> Optional[str]:
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"""Find the latest exported CSV file."""
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csv_files = list(self.output_dir.glob('all_posts_*.csv'))
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@@ -70,6 +70,10 @@ Examples:
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parser.add_argument('--limit', type=int, help='Limit number of posts to migrate')
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parser.add_argument('--ignore-original-date', action='store_true', help='Use current date instead of original post date')
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# Meta description arguments
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parser.add_argument('--only-missing', action='store_true', help='Only generate for posts without meta descriptions')
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parser.add_argument('--only-poor', action='store_true', help='Only generate for posts with poor quality meta descriptions')
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args = parser.parse_args()
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if not args.command:
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@@ -95,6 +99,7 @@ Examples:
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'category_create': cmd_category_create,
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'editorial_strategy': cmd_editorial_strategy,
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'migrate': cmd_migrate,
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'meta_description': cmd_meta_description,
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'status': cmd_status,
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'help': cmd_help,
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}
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@@ -380,6 +385,48 @@ def cmd_migrate(app, args):
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return 0
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def cmd_meta_description(app, args):
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"""Generate AI-optimized meta descriptions."""
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if args.dry_run:
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print("Would generate AI-optimized meta descriptions")
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if args.only_missing:
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print(" Filter: Only posts without meta descriptions")
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if args.only_poor:
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print(" Filter: Only posts with poor quality meta descriptions")
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if args.limit:
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print(f" Limit: {args.limit} posts")
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return 0
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csv_file = args.args[0] if args.args else None
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print("Generating AI-optimized meta descriptions...")
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if args.only_missing:
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print(" Filter: Only posts without meta descriptions")
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elif args.only_poor:
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print(" Filter: Only posts with poor quality meta descriptions")
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if args.limit:
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print(f" Limit: {args.limit} posts")
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output_file, summary = app.generate_meta_descriptions(
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csv_file=csv_file,
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output_file=args.output,
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only_missing=args.only_missing,
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only_poor_quality=args.only_poor,
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limit=args.limit
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)
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if output_file and summary:
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print(f"\n✅ Meta description generation completed!")
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print(f" Results: {output_file}")
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print(f"\n📊 Summary:")
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print(f" Total processed: {summary.get('total_posts', 0)}")
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print(f" Improved: {summary.get('improved', 0)} ({summary.get('improvement_rate', 0):.1f}%)")
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print(f" Optimal length: {summary.get('optimal_length_count', 0)} ({summary.get('optimal_length_rate', 0):.1f}%)")
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print(f" Average score: {summary.get('average_score', 0):.1f}")
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print(f" API calls: {summary.get('api_calls', 0)}")
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return 0
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def cmd_status(app, args):
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"""Show status."""
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if args.dry_run:
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@@ -413,6 +460,8 @@ Export & Analysis:
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analyze -f title Analyze specific fields (title, meta_description, categories, site)
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analyze -u Update input CSV with new columns (creates backup)
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category_propose [csv] Propose categories based on content
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meta_description [csv] Generate AI-optimized meta descriptions
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meta_description --only-missing Generate only for posts without meta descriptions
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Category Management:
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category_apply [csv] Apply AI category proposals to WordPress
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@@ -437,6 +486,12 @@ Export Options:
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--author-id Filter by author ID(s)
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--site, -s Export from specific site only
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Meta Description Options:
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--only-missing Only generate for posts without meta descriptions
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--only-poor Only generate for posts with poor quality meta descriptions
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--limit Limit number of posts to process
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--output, -o Custom output file path
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Migration Options:
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--destination, --to Destination site: mistergeek.net, webscroll.fr, hellogeek.net
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--source, --from Source site for filtered migration
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@@ -476,6 +531,9 @@ Examples:
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seo migrate posts_to_migrate.csv --destination mistergeek.net
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seo migrate --source webscroll.fr --destination mistergeek.net --category-filter VPN
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seo migrate --source A --to B --date-after 2024-01-01 --limit 10 --keep-source
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seo meta_description # Generate for all posts
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seo meta_description --only-missing # Generate only for posts without meta
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seo meta_description --only-poor --limit 10 # Fix 10 poor quality metas
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seo status
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""")
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return 0
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482
src/seo/meta_description_generator.py
Normal file
482
src/seo/meta_description_generator.py
Normal file
@@ -0,0 +1,482 @@
|
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"""
|
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Meta Description Generator - AI-powered meta description generation and optimization
|
||||
"""
|
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import csv
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import json
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import logging
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import time
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from pathlib import Path
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from datetime import datetime
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from typing import Dict, List, Optional, Tuple
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import requests
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from .config import Config
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logger = logging.getLogger(__name__)
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class MetaDescriptionGenerator:
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"""AI-powered meta description generator and optimizer."""
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def __init__(self, csv_file: str):
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"""
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Initialize the generator.
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Args:
|
||||
csv_file: Path to CSV file with posts
|
||||
"""
|
||||
self.csv_file = Path(csv_file)
|
||||
self.openrouter_api_key = Config.OPENROUTER_API_KEY
|
||||
self.ai_model = Config.AI_MODEL
|
||||
self.posts = []
|
||||
self.generated_results = []
|
||||
self.api_calls = 0
|
||||
self.ai_cost = 0.0
|
||||
|
||||
# Meta description best practices
|
||||
self.max_length = 160 # Optimal length for SEO
|
||||
self.min_length = 120
|
||||
self.include_keywords = True
|
||||
|
||||
def load_csv(self) -> bool:
|
||||
"""Load posts from CSV file."""
|
||||
logger.info(f"Loading CSV: {self.csv_file}")
|
||||
|
||||
if not self.csv_file.exists():
|
||||
logger.error(f"CSV file not found: {self.csv_file}")
|
||||
return False
|
||||
|
||||
try:
|
||||
with open(self.csv_file, 'r', encoding='utf-8') as f:
|
||||
reader = csv.DictReader(f)
|
||||
self.posts = list(reader)
|
||||
|
||||
logger.info(f"✓ Loaded {len(self.posts)} posts from CSV")
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.error(f"Error loading CSV: {e}")
|
||||
return False
|
||||
|
||||
def _build_prompt(self, post: Dict) -> str:
|
||||
"""
|
||||
Build AI prompt for meta description generation.
|
||||
|
||||
Args:
|
||||
post: Post data dict
|
||||
|
||||
Returns:
|
||||
AI prompt string
|
||||
"""
|
||||
title = post.get('title', '')
|
||||
content_preview = post.get('content_preview', '')
|
||||
excerpt = post.get('excerpt', '')
|
||||
focus_keyword = post.get('focus_keyword', '')
|
||||
current_meta = post.get('meta_description', '')
|
||||
|
||||
# Build context from available content
|
||||
content_context = ""
|
||||
if excerpt:
|
||||
content_context += f"Excerpt: {excerpt}\n"
|
||||
if content_preview:
|
||||
content_context += f"Content preview: {content_preview[:300]}..."
|
||||
|
||||
prompt = f"""You are an SEO expert. Generate an optimized meta description for the following blog post.
|
||||
|
||||
**Post Title:** {title}
|
||||
|
||||
**Content Context:**
|
||||
{content_context}
|
||||
|
||||
**Focus Keyword:** {focus_keyword if focus_keyword else 'Not specified'}
|
||||
|
||||
**Current Meta Description:** {current_meta if current_meta else 'None (needs to be created)'}
|
||||
|
||||
**Requirements:**
|
||||
1. Length: 120-160 characters (optimal for SEO)
|
||||
2. Include the focus keyword naturally if available
|
||||
3. Make it compelling and action-oriented
|
||||
4. Clearly describe what the post is about
|
||||
5. Use active voice
|
||||
6. Include a call-to-action when appropriate
|
||||
7. Avoid clickbait - be accurate and valuable
|
||||
8. Write in the same language as the content
|
||||
|
||||
**Output Format:**
|
||||
Return ONLY the meta description text, nothing else. No quotes, no explanations."""
|
||||
|
||||
return prompt
|
||||
|
||||
def _call_ai_api(self, prompt: str) -> Optional[str]:
|
||||
"""
|
||||
Call AI API to generate meta description.
|
||||
|
||||
Args:
|
||||
prompt: AI prompt
|
||||
|
||||
Returns:
|
||||
Generated meta description or None
|
||||
"""
|
||||
url = "https://openrouter.ai/api/v1/chat/completions"
|
||||
headers = {
|
||||
"Authorization": f"Bearer {self.openrouter_api_key}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
payload = {
|
||||
"model": self.ai_model,
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "You are an SEO expert specializing in meta description optimization. You write compelling, concise, and search-engine optimized meta descriptions."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": prompt
|
||||
}
|
||||
],
|
||||
"temperature": 0.7,
|
||||
"max_tokens": 100
|
||||
}
|
||||
|
||||
try:
|
||||
response = requests.post(url, json=payload, headers=headers, timeout=30)
|
||||
response.raise_for_status()
|
||||
|
||||
result = response.json()
|
||||
self.api_calls += 1
|
||||
|
||||
# Extract generated text
|
||||
if 'choices' in result and len(result['choices']) > 0:
|
||||
meta_description = result['choices'][0]['message']['content'].strip()
|
||||
|
||||
# Remove quotes if AI included them
|
||||
if meta_description.startswith('"') and meta_description.endswith('"'):
|
||||
meta_description = meta_description[1:-1]
|
||||
|
||||
return meta_description
|
||||
else:
|
||||
logger.warning("No AI response received")
|
||||
return None
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
logger.error(f"API call failed: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing AI response: {e}")
|
||||
return None
|
||||
|
||||
def _validate_meta_description(self, meta: str) -> Dict[str, any]:
|
||||
"""
|
||||
Validate meta description quality.
|
||||
|
||||
Args:
|
||||
meta: Meta description text
|
||||
|
||||
Returns:
|
||||
Validation results dict
|
||||
"""
|
||||
length = len(meta)
|
||||
|
||||
validation = {
|
||||
'length': length,
|
||||
'is_valid': False,
|
||||
'too_short': False,
|
||||
'too_long': False,
|
||||
'optimal': False,
|
||||
'score': 0
|
||||
}
|
||||
|
||||
# Check length
|
||||
if length < self.min_length:
|
||||
validation['too_short'] = True
|
||||
validation['score'] = max(0, 50 - (self.min_length - length))
|
||||
elif length > self.max_length:
|
||||
validation['too_long'] = True
|
||||
validation['score'] = max(0, 50 - (length - self.max_length))
|
||||
else:
|
||||
validation['optimal'] = True
|
||||
validation['score'] = 100
|
||||
|
||||
# Check if it ends with a period (good practice)
|
||||
if meta.endswith('.'):
|
||||
validation['score'] = min(100, validation['score'] + 5)
|
||||
|
||||
# Check for call-to-action words
|
||||
cta_words = ['learn', 'discover', 'find', 'explore', 'read', 'get', 'see', 'try', 'start']
|
||||
if any(word in meta.lower() for word in cta_words):
|
||||
validation['score'] = min(100, validation['score'] + 5)
|
||||
|
||||
validation['is_valid'] = validation['score'] >= 70
|
||||
|
||||
return validation
|
||||
|
||||
def generate_for_post(self, post: Dict) -> Optional[Dict]:
|
||||
"""
|
||||
Generate meta description for a single post.
|
||||
|
||||
Args:
|
||||
post: Post data dict
|
||||
|
||||
Returns:
|
||||
Result dict with generated meta and validation
|
||||
"""
|
||||
title = post.get('title', '')
|
||||
post_id = post.get('post_id', '')
|
||||
current_meta = post.get('meta_description', '')
|
||||
|
||||
logger.info(f"Generating meta description for post {post_id}: {title[:50]}...")
|
||||
|
||||
# Skip if post has no title
|
||||
if not title:
|
||||
logger.warning(f"Skipping post {post_id}: No title")
|
||||
return None
|
||||
|
||||
# Build prompt and call AI
|
||||
prompt = self._build_prompt(post)
|
||||
generated_meta = self._call_ai_api(prompt)
|
||||
|
||||
if not generated_meta:
|
||||
logger.error(f"Failed to generate meta description for post {post_id}")
|
||||
return None
|
||||
|
||||
# Validate the result
|
||||
validation = self._validate_meta_description(generated_meta)
|
||||
|
||||
# Calculate improvement
|
||||
improvement = False
|
||||
if current_meta:
|
||||
current_validation = self._validate_meta_description(current_meta)
|
||||
improvement = validation['score'] > current_validation['score']
|
||||
else:
|
||||
improvement = True # Any meta is an improvement over none
|
||||
|
||||
result = {
|
||||
'post_id': post_id,
|
||||
'site': post.get('site', ''),
|
||||
'title': title,
|
||||
'current_meta_description': current_meta,
|
||||
'generated_meta_description': generated_meta,
|
||||
'generated_length': validation['length'],
|
||||
'validation_score': validation['score'],
|
||||
'is_optimal_length': validation['optimal'],
|
||||
'improvement': improvement,
|
||||
'status': 'generated'
|
||||
}
|
||||
|
||||
logger.info(f"✓ Generated meta description (score: {validation['score']}, length: {validation['length']})")
|
||||
|
||||
# Rate limiting
|
||||
time.sleep(0.5)
|
||||
|
||||
return result
|
||||
|
||||
def generate_batch(self, batch: List[Dict]) -> List[Dict]:
|
||||
"""
|
||||
Generate meta descriptions for a batch of posts.
|
||||
|
||||
Args:
|
||||
batch: List of post dicts
|
||||
|
||||
Returns:
|
||||
List of result dicts
|
||||
"""
|
||||
results = []
|
||||
|
||||
for i, post in enumerate(batch, 1):
|
||||
logger.info(f"Processing post {i}/{len(batch)}")
|
||||
result = self.generate_for_post(post)
|
||||
if result:
|
||||
results.append(result)
|
||||
|
||||
return results
|
||||
|
||||
def filter_posts_for_generation(self, posts: List[Dict],
|
||||
only_missing: bool = False,
|
||||
only_poor_quality: bool = False) -> List[Dict]:
|
||||
"""
|
||||
Filter posts based on meta description status.
|
||||
|
||||
Args:
|
||||
posts: List of post dicts
|
||||
only_missing: Only include posts without meta descriptions
|
||||
only_poor_quality: Only include posts with poor meta descriptions
|
||||
|
||||
Returns:
|
||||
Filtered list of posts
|
||||
"""
|
||||
filtered = []
|
||||
|
||||
for post in posts:
|
||||
current_meta = post.get('meta_description', '')
|
||||
|
||||
if only_missing:
|
||||
# Skip posts that already have meta descriptions
|
||||
if current_meta:
|
||||
continue
|
||||
filtered.append(post)
|
||||
|
||||
elif only_poor_quality:
|
||||
# Skip posts without meta descriptions (handle separately)
|
||||
if not current_meta:
|
||||
continue
|
||||
|
||||
# Check if current meta is poor quality
|
||||
validation = self._validate_meta_description(current_meta)
|
||||
if validation['score'] < 70:
|
||||
filtered.append(post)
|
||||
|
||||
else:
|
||||
# Include all posts
|
||||
filtered.append(post)
|
||||
|
||||
return filtered
|
||||
|
||||
def save_results(self, results: List[Dict], output_file: Optional[str] = None) -> str:
|
||||
"""
|
||||
Save generation results to CSV.
|
||||
|
||||
Args:
|
||||
results: List of result dicts
|
||||
output_file: Custom output file path
|
||||
|
||||
Returns:
|
||||
Path to saved file
|
||||
"""
|
||||
if not output_file:
|
||||
output_dir = Path(__file__).parent.parent.parent / 'output'
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
|
||||
output_file = output_dir / f'meta_descriptions_{timestamp}.csv'
|
||||
|
||||
output_file = Path(output_file)
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
fieldnames = [
|
||||
'post_id', 'site', 'title', 'current_meta_description',
|
||||
'generated_meta_description', 'generated_length',
|
||||
'validation_score', 'is_optimal_length', 'improvement', 'status'
|
||||
]
|
||||
|
||||
logger.info(f"Saving {len(results)} results to {output_file}...")
|
||||
|
||||
with open(output_file, 'w', newline='', encoding='utf-8') as f:
|
||||
writer = csv.DictWriter(f, fieldnames=fieldnames)
|
||||
writer.writeheader()
|
||||
writer.writerows(results)
|
||||
|
||||
logger.info(f"✓ Results saved to: {output_file}")
|
||||
return str(output_file)
|
||||
|
||||
def generate_summary(self, results: List[Dict]) -> Dict:
|
||||
"""
|
||||
Generate summary statistics.
|
||||
|
||||
Args:
|
||||
results: List of result dicts
|
||||
|
||||
Returns:
|
||||
Summary dict
|
||||
"""
|
||||
if not results:
|
||||
return {}
|
||||
|
||||
total = len(results)
|
||||
improved = sum(1 for r in results if r.get('improvement', False))
|
||||
optimal_length = sum(1 for r in results if r.get('is_optimal_length', False))
|
||||
avg_score = sum(r.get('validation_score', 0) for r in results) / total
|
||||
|
||||
# Count by site
|
||||
by_site = {}
|
||||
for r in results:
|
||||
site = r.get('site', 'unknown')
|
||||
if site not in by_site:
|
||||
by_site[site] = {'total': 0, 'improved': 0}
|
||||
by_site[site]['total'] += 1
|
||||
if r.get('improvement', False):
|
||||
by_site[site]['improved'] += 1
|
||||
|
||||
summary = {
|
||||
'total_posts': total,
|
||||
'improved': improved,
|
||||
'improvement_rate': (improved / total * 100) if total > 0 else 0,
|
||||
'optimal_length_count': optimal_length,
|
||||
'optimal_length_rate': (optimal_length / total * 100) if total > 0 else 0,
|
||||
'average_score': avg_score,
|
||||
'api_calls': self.api_calls,
|
||||
'by_site': by_site
|
||||
}
|
||||
|
||||
return summary
|
||||
|
||||
def run(self, output_file: Optional[str] = None,
|
||||
only_missing: bool = False,
|
||||
only_poor_quality: bool = False,
|
||||
limit: Optional[int] = None) -> Tuple[str, Dict]:
|
||||
"""
|
||||
Run complete meta description generation process.
|
||||
|
||||
Args:
|
||||
output_file: Custom output file path
|
||||
only_missing: Only generate for posts without meta descriptions
|
||||
only_poor_quality: Only generate for posts with poor quality meta descriptions
|
||||
limit: Maximum number of posts to process
|
||||
|
||||
Returns:
|
||||
Tuple of (output_file_path, summary_dict)
|
||||
"""
|
||||
logger.info("\n" + "="*70)
|
||||
logger.info("AI META DESCRIPTION GENERATION")
|
||||
logger.info("="*70)
|
||||
|
||||
# Load posts
|
||||
if not self.load_csv():
|
||||
return "", {}
|
||||
|
||||
# Filter posts
|
||||
posts_to_process = self.filter_posts_for_generation(
|
||||
self.posts,
|
||||
only_missing=only_missing,
|
||||
only_poor_quality=only_poor_quality
|
||||
)
|
||||
|
||||
logger.info(f"Posts to process: {len(posts_to_process)}")
|
||||
|
||||
if only_missing:
|
||||
logger.info("Filter: Only posts without meta descriptions")
|
||||
elif only_poor_quality:
|
||||
logger.info("Filter: Only posts with poor quality meta descriptions")
|
||||
|
||||
# Apply limit
|
||||
if limit:
|
||||
posts_to_process = posts_to_process[:limit]
|
||||
logger.info(f"Limited to: {len(posts_to_process)} posts")
|
||||
|
||||
if not posts_to_process:
|
||||
logger.warning("No posts to process")
|
||||
return "", {}
|
||||
|
||||
# Generate meta descriptions
|
||||
results = self.generate_batch(posts_to_process)
|
||||
|
||||
# Save results
|
||||
if results:
|
||||
output_path = self.save_results(results, output_file)
|
||||
|
||||
# Generate and log summary
|
||||
summary = self.generate_summary(results)
|
||||
|
||||
logger.info("\n" + "="*70)
|
||||
logger.info("GENERATION SUMMARY")
|
||||
logger.info("="*70)
|
||||
logger.info(f"Total posts processed: {summary['total_posts']}")
|
||||
logger.info(f"Improved: {summary['improved']} ({summary['improvement_rate']:.1f}%)")
|
||||
logger.info(f"Optimal length: {summary['optimal_length_count']} ({summary['optimal_length_rate']:.1f}%)")
|
||||
logger.info(f"Average validation score: {summary['average_score']:.1f}")
|
||||
logger.info(f"API calls made: {summary['api_calls']}")
|
||||
logger.info("="*70)
|
||||
|
||||
return output_path, summary
|
||||
else:
|
||||
logger.warning("No results generated")
|
||||
return "", {}
|
||||
Reference in New Issue
Block a user