G3Z Creative Automated SEO & Schema Validation Pipeline
Zero-bloat Astro edge architecture featuring compile-time JSON-LD graph synthesis, strict content collection schemas, and automated Lighthouse/Core Web Vitals enforcement.
STAR Engineering Breakdown
01 · Situation & Problem
Client properties built on legacy page-builder themes suffered from bloated client bundles, inconsistent canonical tags, and hand-pasted JSON-LD schema that frequently broke during editorial updates.
02 · Technical Execution
Engineered a standardized Astro + TypeScript architecture using Zod-validated Content Collections that automatically compile linked JSON-LD entity graphs (@graph with Organization, Service, BreadcrumbList, and FAQPage).
03 · Automated SEO Guardrails
Embedded build-time assertions that block deployment if any route lacks a unique canonical URL, valid meta description bounds, semantic heading hierarchy, or valid structured data.
04 · Verified Impact
Consistently achieved 100/100 Lighthouse Performance and SEO scores with sub-35ms edge TTFB and zero structured-data warnings in Google Search Console.
export function buildEntityGraph(entry: ValidatedPageEntry): JsonLdGraph {
const canonical = new URL(entry.slug, SITE_ORIGIN).toString();
const nodes = [buildPageNode(entry, canonical), buildFaqNode(entry)];
return { "@context": "https://schema.org", "@graph": nodes };
}Benchmark Table
| METRIC | MANUAL BASELINE | PROGRAMMATIC ENGINE |
|---|---|---|
| Structured Data Maintenance | Manual Copy-Pasted Script Tags | 100% Compile-Time Zod + JSON-LD |
| Core Web Vitals & Payload | 450 KB+ Legacy JS Bundles | 100 Lighthouse / Zero-JS Default |
| Pre-Deploy Technical SEO QA | Post-Launch Crawl Fixes | CI Build Gate Blocks Bad Routes |