Partner Livingku

Partner Livingku serves as a solution to bridge housing seekers and property owners through a professional and easily discoverable digital storefront. Unlike conventional booking platforms, this system focuses heavily on lead generation, allowing users to explore thousands of transparent housing options across various cities and connect directly with property owners via WhatsApp. The project is designed to dominate organic search engine results while being highly accessible for data extraction by modern AI assistants.

Key Features & Achievements

SEO-First & AI-Indexable Architecture: Implements advanced technical SEO standards, including Structured Data (JSON-LD Schema for FAQs and Reviews) and an llms.txt file integration, ensuring the directory can be accurately referenced by AI tools like ChatGPT, Claude, and Perplexity.

Dynamic Property Catalog: Displays real-time property data, user testimonials, and website statistics fetched from a relational database, complete with search functionality and filters based on city, housing type, and price range.

High-Conversion Optimization: Utilizes a mobile-first UI/UX architecture with strategic placement of WhatsApp Call to Action (CTA) buttons, including pre-filled messages and a globally floating WhatsApp widget across all pages to maximize lead generation.

Maximum Performance: Targets perfect Core Web Vitals metrics with a Lighthouse score above 90 through image optimization (WebP), lazy loading, and leveraging Next.js's hybrid rendering capabilities.

Technologies Used

Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, and next-intl.

Backend & Database: Supabase (@supabase/supabase-js) for managed PostgreSQL, Authentication, and Object Storage.

Deployment & Infrastructure: Deployed via the Vercel platform for automated CI/CD and global CDN distribution.