{"repo":"solve-ease/OptiBlogAi","free":true,"listed":false,"github":"https://github.com/solve-ease/OptiBlogAi","clone":"git clone https://github.com/solve-ease/OptiBlogAi.git","description":"OptiBlogAi — An open-source AI-powered system that automates SEO blog content creation using LLMs, content scraping, and an intelligent quality assessment loop","language":"TypeScript","stars":15,"topics":["beautifulsoup4","fastapi","groqllm","langgraph-python","playwright","python3","ai-seo-blog","good-first-issue","hacktoberfest","help-wanted"],"license":"MIT","category":"scrapers-browser-automation","readme_excerpt":"OptiBlogAi: AI-Powered SEO Content Generator Overview OptiBlogAi is an open-source AI system that generates high-quality, SEO-optimized blog content through a multi-phase content production pipeline. By scraping top-ranking content, generating original articles with LLMs, and implementing a rigorous quality assessment loop, OptiBlogAi produces content engineered for search engine visibility and reader engagement. Core Innovation : OptiBlogAi's unique breakeven assessment loop ensures content meets quality thresholds before publication, combining AI generation with SEO science to create content that ranks. Features - Automated Content Research : Scrapes and analyzes top-ranking content for target keywords - LLM-Powered Generation : Creates original blog posts using advanced prompt engineering - Quality Assurance Loop : Multi-phase assessment system with iterative improvements - SEO Optimization : Built-in SEO scoring for on-page optimization - Extensible Architecture : Modular design supporting multiple LLM providers Project Architecture Architecture Technology Stack Core Components - Language : Python 3.10+ - Web Framework : FastAPI - Scraping Tools : Playwright, BeautifulSoup - NLP Processing : NLTK - SEO Analysis : Custom scoring algorithms (To be figured out) - Workflow Orchestration : LangGraph AI/ML Components - LLM Providers : Groq & Gemini Infrastructure - Containerization : Docker - CI/CD : GitHub Actions Quality Assurance - Testing : Pytest Workflow Process 1. Resear","default_branch":null,"files":null,"tree":[],"storefront":"/r/solve-ease","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/solve-ease/OptiBlogAi/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}