I wrote a quick and dirty web app that leverages a multi-step iterative process to generate an article from a single topic prompt. It combines SERP analysis, semantic SEO data from NLTK (summarized and enhanced by GPT), and the language generation capabilities of GPT4.<p>The final articles it generates are informed by an understanding of the content already ranking for the given keyword (ala MarketMuse or Clearscope) and generates a 4,000+ word, well organized article.<p>Here's how it works:<p>1⃣ The script begins by analyzing the SERPs of your chosen topic, summarizing the NLP to gather common themes and important keywords to provide a semantically rich guide to writing a comprehensive outline.<p>2⃣ It generates an initial outline using #GPT4. The outline is then improved iteratively, incorporating semantic SEO insights from the SERP analysis.<p>3⃣ The improved outline is used as a guide to create long-form content, again using GPT4.<p>4⃣ The content is further improved and refined, resulting in a comprehensive, detailed, and SEO-rich long-form article.<p>I'm super excited about the future of agent like approaches, and while this isnt exactly a full agent, it is using an iterative approach that vastly improves the quality and length of a given article output.<p>If you find it useful, let me know!