AI Visibility Audit Tool Integration

I need a developer to build an AI visibility audit tool for destination marketing. The core logic is already defined and I have a full spec. I need someone who can build it clean and ship it. What the tool does: it queries ChatGPT, Gemini, Claude and Perplexity with a fixed set of real traveler questions, captures whether a destination shows up and where its competitors land, scores the result, and drafts a short report. Roughly 15+ questions, each run a few times per platform, with web search enabled. What I need built: The query engine across all three platforms, running on my own API keys Integration with my existing scorecard backend A gated flow: a personal emailed link that runs once per user, results delivered by email A saved-run database I can log into and review, so every run is stored from day one Built to be re-run on a schedule later (this becomes an ongoing monitoring product) Two non-negotiables: It runs entirely on my API accounts and keys. Billing and ownership sit with me. I own all code and IP outright. This is a defined, finish-and-ship project, not open-ended. I'll share the full spec with candidates who look like a fit. US-based candidates only. Skills LLM / OpenAI API, Gemini API, Perplexity API, API integration, Python (or your stack — tell me), backend development, database design, prompt engineering If interested, please respond with the following answers to be taken seriously: Describe a tool you've built that calls LLM APIs in production. What did it do and what was your specific role? How would you handle the fact that AI answers vary run to run? How do you make a score that holds up to scrutiny? What's your approach to keeping per-query API costs controlled at volume? Rough estimate on timeline and cost for a project scoped like this.