6,580 Artworks Indexed for Discovery

The Challenge

Art discovery online is fragmented. Museum websites are siloed. Google Arts and Culture covers a fraction of what's available. Wikipedia has information but no browsing experience for casual art lovers. None of these sources are optimized for the way people actually search for art: "paintings of the ocean," "famous Baroque artists," or "best museums in Paris." The goal was to build a single resource where anyone could search, browse, and discover art across museums, eras, and styles, while making every page indexable by search engines.

The Solution: Structured Content at Scale

Every entity gets its own page with a unique description, key facts, related artworks or artists, and an FAQ section. The URL structure maps to search intent.

• •6,580 artwork pages with individual descriptions and related content
• •800 artist pages with biographical info and work listings (Rembrandt: 225 works, Monet: 167, Degas: 110)
• •489 museum pages with location data, notable collections, and ticket affiliate links
• •Browse by era (Renaissance, Baroque, 19th Century, Modern) and movement (Impressionism, Cubism, Surrealism)
• •Full JSON-LD structured data on every entity page for rich snippet potential
• •Cross-entity linking so every artwork links to its artist, museum, and era

Technical Architecture

Built on Next.js with Supabase and Prisma for a database-driven content system. Adding a new museum or artist means adding a database record, not manually creating a page. This lets the platform scale without proportional effort.

• •Next.js for server-rendered, SEO-friendly pages
• •Supabase + Prisma for relational database powering dynamic page generation
• •Affiliate integration with GetYourGuide, Musement, and Tiqets for museum ticket revenue
• •Template-driven pages that scale from hundreds to thousands of entries

Key Takeaways

Content at scale works when every page provides genuine utility. The Masterpiece Finder isn't a keyword-stuffed page farm. Each page answers a specific question someone might have about an artwork, artist, or museum. Database-driven content generation is the only way to build at this scale. Manually creating 6,580+ pages would take years. A well-structured database with template-driven page generation makes it possible in months. The affiliate model (museum ticket bookings) aligns user intent with monetization: someone browsing paintings at the Louvre is likely interested in visiting.