favURL is an AI-powered landing page builder for local businesses. Point it at a business name and it finds the business on Google Places, analyzes its customer reviews, and publishes a polished, conversion-focused page at favurl.com/[business-name], no design or copywriting required.

Under the hood it uses AI Agents to turn raw review text into structured page content: a hero headline, customer testimonials, captioned photo galleries, and visitor tips, all wrapped in an SEO-friendly page structure. Higher-tier plans add custom domain support and agency multi-site management.

I built favURL end to end (product, the AI generation pipeline, and go-to-market), turning the review-backed social proof businesses already have into a marketing asset that works for them.

On the engineering side, favURL is a full web application: a responsive front end, account and plan management, and a generation pipeline that orchestrates AI agents against Google Places and review data. As the product developer I owned the architecture, data model, and publishing flow, and on the business side I shaped the freemium model, the agency multi-site tier, and the go-to-market motion, running it as both a product and a business.