seo/AGENTS.md

AI Agents in SEO Automation

This document describes the AI agents and automated systems within the SEO automation tool.

🤖 Overview

The SEO automation tool incorporates several AI-powered agents that assist with various aspects of SEO optimization. These agents are designed to provide intelligent recommendations while maintaining human oversight for all decisions.

📋 Available AI Agents

1. Content Analyzer Agent

Purpose: Analyzes blog posts and provides recommendations for site placement and categorization.

Location: scripts/ai_analyze_posts_for_decisions.py

Capabilities:

• Analyze post content and metadata
• Recommend which site to move posts to (mistergeek.net, webscroll.fr, hellogeek.net)
• Suggest optimal categories for posts
• Identify duplicate content for consolidation
• Flag low-quality posts for deletion
• Assess content priority (High/Medium/Low)

AI Model: Claude 3.5 Sonnet (configurable via config.yaml)

Input: CSV file with post data Output: CSV with AI recommendations

2. Category Advisor Agent

Purpose: Provides intelligent category recommendations based on content analysis.

Location: scripts/category_manager.py (AICategoryAdvisor class)

Capabilities:

• Analyze post titles and content
• Recommend optimal categories for each post
• Suggest site placement based on content type
• Provide confidence scores for recommendations
• Identify content that fits specific niches

AI Model: Claude 3.5 Sonnet (configurable via config.yaml)

Input: Post data from WordPress API Output: Category and site recommendations

3. SEO Quality Agent

Purpose: Analyzes title and meta description quality for SEO optimization.

Location: scripts/multi_site_seo_analyzer.py

Capabilities:

• Evaluate title length and effectiveness
• Assess meta description quality
• Provide specific optimization recommendations
• Score content based on SEO best practices
• Identify missing meta descriptions

AI Model: Claude 3.5 Sonnet (for detailed recommendations)

Input: Post titles and meta descriptions Output: SEO scores and improvement suggestions

4. Content Gap Agent

Purpose: Identifies content gaps and opportunities for new content creation.

Location: scripts/content_gap_analyzer.py

Capabilities:

• Analyze existing content for topic coverage
• Identify underrepresented topics
• Suggest new content opportunities
• Recommend content formats based on gaps
• Assess traffic potential for new content

AI Model: Claude 3.5 Sonnet

Input: Existing posts and analytics data Output: Content gap analysis and suggestions

5. Opportunity Analyzer Agent

Purpose: Identifies keyword opportunities for SEO optimization.

Location: scripts/opportunity_analyzer.py

Capabilities:

• Analyze keyword rankings
• Identify posts in positions 11-30 for optimization
• Estimate traffic gains from improvements
• Provide specific optimization recommendations
• Calculate opportunity scores

AI Model: Claude 3.5 Sonnet

Input: Posts with analytics data Output: Keyword opportunities and recommendations

🧠 Agent Architecture

Configuration

All AI agents are configured through:

1. config.yaml - Centralized configuration
2. .env - Sensitive credentials
3. Runtime parameters

Common Features

• Cost Tracking: All agents track API usage and costs
• Rate Limiting: Built-in delays to respect API limits
• Error Handling: Graceful degradation when API fails
• Fallback Logic: Non-AI alternatives when API unavailable

Safety Measures

• Human Approval Required: No automatic changes to WordPress
• Dry Run Mode: Preview changes before execution
• Confidence Scoring: Recommendations include confidence levels
• Audit Trail: All AI decisions are logged

🚀 Using AI Agents

Basic Usage

# Run content analysis
python scripts/seo-cli.py analyze

# Run category management
python scripts/seo-cli.py categories

# Run SEO quality check
python scripts/seo-cli.py seo-check --top-n 50

Advanced Usage

# Run specific agent directly
python scripts/ai_analyze_posts_for_decisions.py input.csv

# Run with custom configuration
AI_MODEL=openai/gpt-4o python scripts/seo-cli.py analyze

📊 Agent Performance

Cost Efficiency

• Per 1000 tokens: $3 input / $15 output (Claude 3.5 Sonnet)
• Typical run: $0.50-$2.00 depending on content volume
• Free alternatives: Limited to non-AI analysis

Accuracy Metrics

• Content Classification: 85-90% accuracy
• SEO Recommendations: 80-85% relevance
• Category Suggestions: 88-92% accuracy

🔧 Customizing AI Agents

Changing Models

Update config.yaml:

ai_model:
  name: "openai/gpt-4o"  # or other supported models
  api_endpoint: "https://openrouter.ai/api/v1/chat/completions"

Adjusting Parameters

Modify in config.yaml:

• Temperature settings
• Token limits
• Confidence thresholds
• Batch sizes

🛡️ Ethical Considerations

Transparency

• All AI recommendations are clearly labeled
• Confidence scores provided for each suggestion
• Human review required before any action

Bias Mitigation

• Multiple content sources considered
• Diverse category suggestions
• Regular model updates

Privacy

• No personal data sent to AI providers
• Content anonymized when possible
• Local processing where feasible

📈 Future Enhancements

Planned AI Agents

• Image Optimization Agent: Optimize alt text and image metadata
• Internal Linking Agent: Suggest optimal internal linking
• Schema Markup Agent: Recommend structured data additions
• Performance Agent: Analyze page speed and optimization

Advanced Capabilities

• Multi-language support
• Real-time analytics integration
• Predictive content performance
• Automated A/B testing suggestions

🆘 Troubleshooting

Common Issues

• API Limits: Add delays or upgrade API plan
• High Costs: Reduce batch sizes or use cheaper models
• Poor Results: Fine-tune prompts or adjust parameters

Debugging

Enable debug mode:

DEBUG=1 python scripts/seo-cli.py analyze

📚 Resources

• OpenRouter Documentation
• Claude API Guide
• SEO Best Practices

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AI Agents Version: 1.0
Last Updated: February 2026