Dolomite AI is a specialized SaaS platform designed to monitor, analyze, and optimize how brands are represented across generative AI search engines, including ChatGPT, Gemini, Google AI Overviews, and Perplexity.

As users shift from traditional search engines to AI assistants, brand visibility is no longer determined solely by standard SEO rankings. Businesses lack clear insights into how AI models answer prompts about their industry, leading to untracked brand positioning, missed citations, and inaccurate representations in conversational AI outputs.

I designed and developed the entire Dolomite AI web application and architecture from the ground up:

Multi-Engine Monitoring: Built automated query workflows to poll multiple AI search platforms simultaneously.

Brand Mention & Intent Tracking: Implemented response parsing algorithms to identify brand inclusions, competitor rankings, and specific search intent patterns.

Actionable Recommendations: Created an automated engine that analyzes gaps in AI outputs and provides actionable steps to improve brand discoverability.

Multi-Tenant SaaS Architecture: Structured an isolated, secure multi-tenant foundation for business accounts and team members.

Frontend Framework: Next.js (App Router) & TypeScript for server-side rendering, speed, and type safety.

UI & Styling: Tailwind CSS & Shadcn UI for an ultra-responsive, accessible dashboard experience.

Backend & Database: Supabase for authentication, Row-Level Security (RLS), real-time database capabilities, and edge functions.

AI Integration: Structured API calls and response parsing across OpenAI, Gemini, and Perplexity APIs.

The platform turns unstructured, non-deterministic AI search responses into structured, actionable visibility metrics, giving businesses total control over their presence in the generative AI era.