AI SEO Blog Generation App MVP

We are looking for an experienced full-stack developer / AI app developer to build an MVP for an AI-powered SEO blog post generator. The goal is to create a simple web app that allows users to input a topic or keyword and generate a high-quality, SEO-optimized blog post with minimal effort. Core MVP Features: User inputs a target keyword, topic, or brief AI generates a full blog post optimized for SEO Output includes: Title suggestions Meta description Blog outline with headings Full article draft Suggested keywords / keyword usage Clean, simple UI for entering prompts and viewing/editing generated content Basic user authentication Ability to copy/export generated content Admin/backend setup for managing usage or prompts Nice-to-Have Features: Tone/style selection Blog length selection Regenerate sections Internal linking suggestions FAQ/schema content generation WordPress export or CMS integration Tech Preferences: Open to suggestions, but preference for developers comfortable with: React / Next.js or similar frontend Node.js / Python backend OpenAI or similar LLM API integration Database/storage for users and generated content Basic cloud deployment What We Need From You: Build a working MVP quickly and cleanly Recommend the best stack and architecture Create a scalable foundation for future features Deliver clean, maintainable code Communicate clearly and proactively Ideal Candidate: Proven experience building AI-powered SaaS or content tools Experience with SEO content workflows Strong UX sense for simple productivity apps Able to ship fast without overengineering To Apply, Please Include: Relevant examples of AI apps or SaaS products you’ve built Your recommended tech stack for this MVP Estimated timeline Brief thoughts on how you would structure the SEO generation flow We are looking for someone reliable who can help turn this idea into a usable MVP quickly, with potential for ongoing work after launch.