Hey Vercel Community! ![]()
I wanted to share our latest deployment on Vercel: Study MBBS Abroad
The Challenge: The search landscape for medical education is incredibly saturated. Our goal was to build a platform that could reliably rank for highly competitive queries like study MBBS abroad and MBBS in Georgia, while serving a user base across rural and urban India with varying network speeds. We needed perfect Core Web Vitals and an aggressive edge-caching strategy.
The Solution & Stack: We utilized Vercel’s infrastructure to ensure lightning-fast global content delivery. Because our users are families looking to send their children for MBBS abroad, trust and E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) are our primary metrics.
Here are a few technical hurdles we overcame that might help others building in the education space:
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Advanced Nested Schema Architecture: Standard SEO plugins weren’t cutting it. We had to manually inject a highly complex, multi-typed
ServiceandEducationalOrganizationJSON-LD payload into the<head>. We dynamically linked our brand entities to global medical databases (like the NMC and WHO) using the"knowsAbout"property. Has anyone else experimented with deep Knowledge Graph manipulation in their Vercel deployments? -
FAQ & SERP Hijacking: To capture “People Also Ask” snippets for queries related to the NEXT exam and foreign medical graduates, we built a dedicated FAQPage schema that renders conditionally based on the route.
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Performance First: By relying on Vercel’s Edge Network, we drastically reduced our Time to First Byte (TTFB). We deferred all non-critical JavaScript and forced WebP preloading for our LCP (Largest Contentful Paint) elements.
Check it out here: https://avglobaloverseas.com/
I’d love to hear feedback from the community, especially regarding how you all manage complex, multi-location LocalBusiness schemas in your Next.js/Vercel builds.
Thanks for reading!
