moreminimore-marketing/backend/services/seo_analyzer

SEO Analyzer Module

A comprehensive, modular SEO analysis system for web applications that provides detailed insights and actionable recommendations for improving search engine optimization.

🚀 Features

✅ Currently Implemented

Core Analysis Components

• URL Structure Analysis: Checks URL length, HTTPS usage, special characters, and URL formatting
• Meta Data Analysis: Analyzes title tags, meta descriptions, viewport settings, and character encoding
• Content Analysis: Evaluates content quality, word count, heading structure, and readability
• Technical SEO Analysis: Checks robots.txt, sitemaps, structured data, and canonical URLs
• Performance Analysis: Measures page load speed, compression, caching, and optimization
• Accessibility Analysis: Ensures alt text, form labels, heading structure, and color contrast
• User Experience Analysis: Checks mobile responsiveness, navigation, contact info, and social links
• Security Headers Analysis: Analyzes security headers for protection against common vulnerabilities
• Keyword Analysis: Evaluates keyword usage and optimization for target keywords

AI-Powered Insights

• Intelligent Issue Detection: Automatically identifies critical SEO problems
• Actionable Recommendations: Provides specific fixes with code examples
• Priority-Based Suggestions: Categorizes issues by severity and impact
• Context-Aware Solutions: Offers location-specific fixes and improvements

Advanced Features

• Progressive Analysis: Runs faster analyses first, then slower ones with graceful fallbacks
• Timeout Handling: Robust error handling for network issues and timeouts
• Detailed Reporting: Comprehensive analysis with scores, issues, warnings, and recommendations
• Modular Architecture: Reusable components for easy maintenance and extension

🔄 Coming Soon

Enhanced Analysis Features

• Core Web Vitals Analysis: LCP, FID, CLS measurements
• Mobile-First Analysis: Comprehensive mobile optimization checks
• Schema Markup Validation: Advanced structured data analysis
• Image Optimization Analysis: Alt text, compression, and format recommendations
• Internal Linking Analysis: Site structure and internal link optimization
• Social Media Optimization: Open Graph and Twitter Card analysis

AI-Powered Enhancements

• Natural Language Processing: Advanced content analysis using NLP
• Competitive Analysis: Compare against competitor websites
• Trend Analysis: Identify SEO trends and opportunities
• Predictive Insights: Forecast potential ranking improvements
• Automated Fix Generation: AI-generated code fixes and optimizations

Advanced Features

• Bulk Analysis: Analyze multiple URLs simultaneously
• Historical Tracking: Monitor SEO improvements over time
• Custom Rule Engine: User-defined analysis rules and thresholds
• API Integration: Connect with Google Search Console, Analytics, and other tools
• White-Label Support: Customizable branding and reporting

Enterprise Features

• Multi-User Support: Team collaboration and role-based access
• Advanced Reporting: Custom dashboards and detailed analytics
• API Rate Limiting: Intelligent request management
• Caching System: Optimized performance for repeated analyses
• Webhook Support: Real-time notifications and integrations

📁 Module Structure

seo_analyzer/
├── __init__.py              # Package initialization and exports
├── core.py                  # Main analyzer class and data structures
├── analyzers.py             # Individual analysis components
├── utils.py                 # Utility classes (HTML fetcher, AI insights)
├── service.py               # Database service for storing/retrieving results
└── README.md               # This documentation

Core Components

core.py

• ComprehensiveSEOAnalyzer: Main orchestrator class
• SEOAnalysisResult: Data structure for analysis results
• Progressive analysis with error handling

analyzers.py

• BaseAnalyzer: Base class for all analyzers
• URLStructureAnalyzer: URL analysis and security checks
• MetaDataAnalyzer: Meta tags and technical SEO
• ContentAnalyzer: Content quality and structure
• TechnicalSEOAnalyzer: Technical SEO elements
• PerformanceAnalyzer: Page speed and optimization
• AccessibilityAnalyzer: Accessibility compliance
• UserExperienceAnalyzer: UX and mobile optimization
• SecurityHeadersAnalyzer: Security header analysis
• KeywordAnalyzer: Keyword optimization

utils.py

• HTMLFetcher: Robust HTML content fetching
• AIInsightGenerator: AI-powered insights generation

service.py

• SEOAnalysisService: Database operations for storing and retrieving analysis results
• Analysis history tracking
• Statistics and reporting
• CRUD operations for analysis data

🛠 Usage

Basic Usage

from services.seo_analyzer import ComprehensiveSEOAnalyzer

# Initialize analyzer
analyzer = ComprehensiveSEOAnalyzer()

# Analyze a URL
result = analyzer.analyze_url_progressive(
    url="https://example.com",
    target_keywords=["seo", "optimization"]
)

# Access results
print(f"Overall Score: {result.overall_score}")
print(f"Health Status: {result.health_status}")
print(f"Critical Issues: {len(result.critical_issues)}")

Individual Analyzer Usage

from services.seo_analyzer import URLStructureAnalyzer, MetaDataAnalyzer

# URL analysis
url_analyzer = URLStructureAnalyzer()
url_result = url_analyzer.analyze("https://example.com")

# Meta data analysis
meta_analyzer = MetaDataAnalyzer()
meta_result = meta_analyzer.analyze(html_content, "https://example.com")

📊 Analysis Categories

URL Structure & Security

• URL length optimization
• HTTPS implementation
• Special character handling
• URL readability and formatting

Meta Data & Technical SEO

• Title tag optimization (30-60 characters)
• Meta description analysis (70-160 characters)
• Viewport meta tag presence
• Character encoding declaration

Content Analysis

• Word count evaluation (minimum 300 words)
• Heading hierarchy (H1, H2, H3 structure)
• Image alt text compliance
• Internal linking analysis
• Spelling error detection

Technical SEO

• Robots.txt accessibility
• XML sitemap presence
• Structured data markup
• Canonical URL implementation

Performance

• Page load time measurement
• GZIP compression detection
• Caching header analysis
• Resource optimization recommendations

Accessibility

• Image alt text compliance
• Form label associations
• Heading hierarchy validation
• Color contrast recommendations

User Experience

• Mobile responsiveness checks
• Navigation menu analysis
• Contact information presence
• Social media link integration

Security Headers

• X-Frame-Options
• X-Content-Type-Options
• X-XSS-Protection
• Strict-Transport-Security
• Content-Security-Policy
• Referrer-Policy

Keyword Analysis

• Title keyword presence
• Content keyword density
• Natural keyword integration
• Target keyword optimization

🎯 Scoring System

Overall Health Status

• Excellent (80-100): Optimal SEO performance
• Good (60-79): Good performance with minor improvements needed
• Needs Improvement (40-59): Significant issues requiring attention
• Poor (0-39): Critical issues requiring immediate action

Issue Categories

• Critical Issues: Major problems affecting rankings (25 points each)
• Warnings: Important improvements for better performance (10 points each)
• Recommendations: Optional enhancements for optimal results

🔧 Configuration

Timeout Settings

• HTML Fetching: 30 seconds
• Security Headers: 15 seconds
• Performance Analysis: 20 seconds
• Progressive Analysis: Graceful fallbacks

Scoring Thresholds

• URL Length: 2000 characters maximum
• Title Length: 30-60 characters optimal
• Meta Description: 70-160 characters optimal
• Content Length: 300 words minimum
• Load Time: 3 seconds maximum

🚀 Performance Features

Progressive Analysis

1. Fast Analyses: URL structure, meta data, content, technical SEO, accessibility, UX
2. Slower Analyses: Security headers, performance (with timeout handling)
3. Graceful Fallbacks: Partial results when analyses fail

Error Handling

• Network timeout management
• Partial result generation
• Detailed error reporting
• Fallback recommendations

📈 Future Roadmap

Phase 1 (Q1 2024)

• Core Web Vitals integration
• Enhanced mobile analysis
• Schema markup validation
• Image optimization analysis

Phase 2 (Q2 2024)

• NLP-powered content analysis
• Competitive analysis features
• Bulk analysis capabilities
• Historical tracking

Phase 3 (Q3 2024)

• Predictive insights
• Automated fix generation
• API integrations
• White-label support

Phase 4 (Q4 2024)

• Enterprise features
• Advanced reporting
• Multi-user support
• Webhook integrations

🤝 Contributing

Adding New Analyzers

1. Create a new analyzer class inheriting from BaseAnalyzer
2. Implement the analyze() method
3. Return standardized result format
4. Add to the main orchestrator in core.py

Extending Existing Features

1. Follow the modular architecture
2. Maintain backward compatibility
3. Add comprehensive error handling
4. Include detailed documentation

📝 License

This module is part of the AI-Writer project and follows the same licensing terms.

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Version: 1.0.0
Last Updated: January 2024
Maintainer: AI-Writer Team