vmeals
SEO-Optimized Food Platform
vmeals is a consumer-facing food platform that relies on organic search traffic. The technical architecture is optimized for SEO performance, Core Web Vitals scores, and conversion — resulting in 200K+ monthly visitors without paid advertising.
Tech Stack
The Problem
Food platforms live and die by search rankings. The original platform had poor Core Web Vitals, missing structured data, and JavaScript-heavy rendering that prevented Google from effectively indexing content.
Architecture
Next.js App Router with ISR (Incremental Static Regeneration) for menu pages, SSR for personalized content, and RSC for data-heavy components. Implemented JSON-LD structured data for Recipe and Restaurant schemas. Edge caching with Vercel for sub-50ms TTFB globally.
Engineering Challenges
- ▸Achieving sub-1s LCP for image-heavy menu pages
- ▸Implementing structured data correctly across thousands of dynamic pages
- ▸Balancing personalization with SEO-friendly static rendering
- ▸Maintaining fresh data while maximizing cache hit rates
Solution
Adopted ISR with 60-second revalidation for menu pages, ensuring near-static performance with fresh content. Used next/image with priority loading for above-the-fold images. Automated JSON-LD generation from database schema. Split bundle aggressively to minimize JavaScript payload.
Results & Impact
- ✓200,000+ organic monthly visitors without paid ads
- ✓Core Web Vitals: LCP under 1 second, CLS near zero
- ✓Top 3 rankings for major food search terms
- ✓3x increase in organic traffic YoY