""" Content Strategy Analysis Service AI-powered content strategy analyzer that provides insights into content gaps, opportunities, and competitive positioning. """ from typing import Dict, Any, List, Optional from datetime import datetime from loguru import logger class ContentStrategyService: """Service for AI-powered content strategy analysis""" def __init__(self): """Initialize the content strategy service""" self.service_name = "content_strategy_analyzer" logger.info(f"Initialized {self.service_name}") async def analyze_content_strategy( self, website_url: str, competitors: List[str] = None, target_keywords: List[str] = None, custom_parameters: Dict[str, Any] = None ) -> Dict[str, Any]: """Analyze content strategy and opportunities""" # Placeholder implementation return { "website_url": website_url, "analysis_type": "content_strategy", "competitors_analyzed": len(competitors) if competitors else 0, "content_gaps": [ {"topic": "SEO best practices", "opportunity_score": 85, "difficulty": "Medium"}, {"topic": "Content marketing", "opportunity_score": 78, "difficulty": "Low"} ], "opportunities": [ {"type": "Trending topics", "count": 15, "potential_traffic": "High"}, {"type": "Long-tail keywords", "count": 45, "potential_traffic": "Medium"} ], "content_performance": {"top_performing": 12, "underperforming": 8}, "recommendations": [ "Create content around trending SEO topics", "Optimize existing content for long-tail keywords", "Develop content series for better engagement" ], "competitive_analysis": {"content_leadership": "moderate", "gaps_identified": 8} } async def health_check(self) -> Dict[str, Any]: """Health check for the content strategy service""" return { "status": "operational", "service": self.service_name, "last_check": datetime.utcnow().isoformat() }