I recently integrated with
https://rankbee.ai/ an AI driven brand intelligence platform that tracks and benchmarks how major LLMs (like ChatGPT, Gemini, Claude,
X.com, Siri, Llama) talk about your brand and its competitors. I architected the end to end system from frontend to backend including real time data ingestion, LLM interaction, analytics and reporting. The dashboard built with Next and TypeScript lets marketers and SEO pros browse AI visibility, prompt level rankings, volatility “weather” reports and competitor comparisons. On the backend I implemented scalable serverless data pipelines (AWS Lambda, API Gateway) that query and track brand mentions across LLMs over time, storing results in a structured database for time series analysis. The platform is fully deployed on AWS with CloudFormation/CDK for CI/CD, IAM secured components, S3 for data storage and an API for CSV/PDF exports or enterprise integration. I also built AI first workflows: prompt level ranking engines, alerting on rank shifts, semantic analysis of AI output and integrations via API to embed data directly into clients’ marketing tools. Features include role based access, stakeholder ready visualization, prompt history deep dive, automated volatility alerts and easy onboarding within minutes. Designed for extensibility, the roadmap includes integrations with analytics suites, paid ad platforms and CMS/email for proactive AI driven brand messaging.