Building a new website with AI visibility as a design requirement from the start is significantly more efficient than retrofitting AEO onto an existing site. The architectural decisions — rendering mode, schema implementation, content structure, IndexNow setup — are much easier to build correctly the first time than to retrofit after deployment.
The Architecture Decisions
Choose static generation over client-side rendering for all content pages. Next.js on Vercel is the most straightforward implementation path. Static generation produces complete HTML in the initial response — no JavaScript execution required, no content hidden behind fetch calls. Every AI crawler, regardless of JavaScript rendering capability, sees the full content on first load.
Schema From Day One
Build JSON-LD schema generation into the page templates at the start. Create schema generator functions for each page type — Article, Service, FAQPage, Organization — that accept page data as input and return the correct JSON-LD object. Wire these into the page head component so every new page automatically includes the correct structured data. Building this system on page one is 2 hours of work. Retrofitting it across 50 existing pages is 20 or more hours.
The Content Infrastructure
Set up the content infrastructure — Supabase for content storage, GitHub Actions for deployment, IndexNow API key and submission script — before publishing the first content. These components take a day to configure correctly. Having them in place means every piece of content published from day one is automatically submitted to search engines, stored with structured metadata, and deployed as static HTML via the Vercel build pipeline. The Omni AEO service includes this full infrastructure setup as the foundational deliverable for new site engagements.