AI SEO App Backend Revamp

Please leave your previous works as possible.
I’ve built a working prototype of an AI-powered SEO optimization tool using Replit and need help taking it over the finish line. The product is built to scan websites, suggest fixes using LLMs, and apply them via a simple JS embed.

The core flows are functional, but I need a strong engineer to:
• Clean up the codebase
• Ensure the API connections are robust
• Finalize the frontend
• Get it running live so we can onboard early users and partners

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Tech Involved
• Frontend: React / JavaScript
• APIs: OpenAI (GPT-4), third-party website scanning API
• Other: Node.js, lightweight embed script (like a tracking pixel), Shopify liquid theme familiarity a plus
• Dev environment: Replit (initial build), GitHub, Vercel (or your preferred deploy method)

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What You’ll Be Doing
• Refactor and productionize the current prototype
• Handle all API connections (scan → fix → embed)
• Build out the frontend UX for fix approval
• Implement an embeddable script to push optimizations live
• Optionally, help set up onboarding, routing, and dashboard basics

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Ideal Candidate
• Has built or supported a SaaS MVP or internal tool
• Comfortable owning both frontend + backend
• Knows how to optimize and simplify low-code builds (like Replit) into more robust apps
• Bonus if you’ve worked with LLM APIs, SEO products, or embedded JS tools

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To Apply
• Share examples of similar projects — especially tools built with AI, embedded scripts, or frontend-heavy admin UIs
• Let me know your preferred stack for lightweight MVPs
• Briefly describe how you’d approach cleaning up and launching a Replit-built product