We are building a proof-of-concept (8 weeks) for a system called PageSlammer — a platform that programmatically generates, publishes, and optimises large volumes of web pages using AI. The goal of this project is to demonstrate that we can: Generate hundreds to thousands of targeted pages Get them indexed and ranking Measure performance and iterate automatically This is not a typical web development job. We are looking for someone who understands growth systems, programmatic SEO, and automation, not just building websites. Scope of Work: Design and implement a system to generate pages at scale using LLMs (e.g. OpenAI) Build or integrate a content pipeline (keywords → pages → publish) Structure pages for SEO (internal linking, metadata, templates) Automate publishing (e.g. via Next.js, static sites, or CMS APIs) Implement tracking (Google Analytics, PostHog, or similar) Create a feedback loop to improve page performance over time Skills: Experience with programmatic SEO or large-scale content generation Strong experience with Python or Node.js Experience working with LLM APIs (OpenAI, etc.) Familiarity with web scraping / data enrichment Solid understanding of SEO fundamentals (indexing, on-page structure, keyword targeting) Ability to move fast and work independently