Job Description
I am looking for an experienced full-stack developer to build an MVP for an LLM Citation Tracker (Generative Engine Optimization / GEO tool). As users shift from traditional search engines to AI, brands need to know if they are being recommended.
This web application will allow users to input specific keywords and a target brand name. The system will run scheduled queries across multiple top-tier LLM APIs, analyze the generated responses, and track how often the target brand is mentioned, linked, or ranked over time.
Required Tech Stack:
Frontend: (React) + Tailwind CSS (Needs to be fast, SEO-friendly, and visually clean for data dashboards).
Backend: (integrated within ) OR Python (FastAPI) if you prefer it for the NLP parsing and scheduling.
Database & Auth: Supabase (PostgreSQL) for relational data and user authentication.
Hosting: Vercel (Frontend) + Render or AWS (Backend/Cron jobs).
Core Deliverables & Features:
1. API Integrations
You will need to re...
This web application will allow users to input specific keywords and a target brand name. The system will run scheduled queries across multiple top-tier LLM APIs, analyze the generated responses, and track how often the target brand is mentioned, linked, or ranked over time.
Required Tech Stack:
Frontend: (React) + Tailwind CSS (Needs to be fast, SEO-friendly, and visually clean for data dashboards).
Backend: (integrated within ) OR Python (FastAPI) if you prefer it for the NLP parsing and scheduling.
Database & Auth: Supabase (PostgreSQL) for relational data and user authentication.
Hosting: Vercel (Frontend) + Render or AWS (Backend/Cron jobs).
Core Deliverables & Features:
1. API Integrations
You will need to re...
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