YouTube Content Creator Assistant
This project is an intelligent assistant system designed to help YouTube content creators optimize their sponsorship and content strategy. It automates several critical aspects of YouTube channel management:
Sponsor Discovery & Evaluation
Automatically identifies and evaluates potential sponsor companies based on channel demographics and content alignment.
Contact Discovery
Intelligently finds and verifies contact information for potential sponsors.
Automated Outreach
Generates personalized email content for sponsor outreach based on deep analysis of both the channel and the sponsor company.
Content Strategy
Generates episode ideas that align with viewer interests and potential sponsorship opportunities.
Tech Stack
- Language: Python
- AI Integration: OpenAI GPT-4o for intelligent content generation and analysis
APIs & Services:
- Anymail Finder API for discovering marketing decision-makers
- Hunter.io for email discovery
- LinkedIn API integration for contact verification
- SerpAPI for additional data enrichment
- AgentQL for website scraping
Architecture Components
Contact Discovery System
- ContactFinder: Orchestrates multi-source contact discovery
- EmailFinder: Specialized email discovery and verification
- Integration with Anymail Finder API for marketing decision-makers
- Rate-limited API calls for reliable operation
- AgentScraper: AI-powered website content extraction using AgentQL
- Intelligent scraping of company websites for contact information
- LinkedIn company profile analysis
- Automated extraction of key decision makers and team members
- LinkedInProfileSearcher: Professional profile discovery and verification
- Advanced data models using Pydantic for robust validation
- Comprehensive test suite for reliability
Sponsor Evaluation Engine
- Cross-category analysis
- Competitive landscape assessment
- Scoring system based on:
- Relevance
- Pain point alignment
- Audience fit
- Value proposition
- Sponsorship viability
- Cross-category potential
- Competitive advantage
Email Generation System
- EmailGenerator: Core email composition engine
- Context-aware email generation using GPT-4o
- Company-specific personalization
- Style guide enforcement
- Automated word choice optimization
- EmailContextProcessor: Sophisticated context building
- Integration of marketing contacts
- Brand profile analysis
- Viewer profile incorporation
- Batch processing capabilities for scale
- Output management with versioning
Content Strategy Generator
- Episode idea generation based on viewer profiles
- Product category mapping
- Viewer profile keyword analysis
AI Integration
- Uses GPT-4o as the primary language model for intelligent analysis and content generation
- Implements rate limiting and parallel processing for optimal API usage
- Employs sophisticated prompt engineering for targeted outputs
Comprehensive Data Analysis:
- Cross-Category Analysis: Evaluates sponsors across different content categories to identify versatile partnerships
- Competitive Intelligence: Analyzes market position and unique advantages of potential sponsors
- Viewer-Centric Approach: Deeply integrates viewer profile data into all decision-making processes
Automation & Efficiency:
- Parallel processing for bulk sponsor evaluation
- Multi-threaded contact discovery
- Automated email generation with sophisticated context building
- Rate-limited API interactions to prevent throttling
Strategic Decision Support:
- Quantitative scoring system for sponsor evaluation
- Data-driven content recommendations
- Automated competitive analysis
- Comprehensive reporting and analytics