When building vertical web applications, separating feature comparisons into standalone, fast-loading micro-sites is an effective way to keep your core application bundle lean while addressing specific user intents.
Recently, while building out supporting comparison pages for an educational test simulator, I designed a reusable data schema in TypeScript to render head-to-head feature matrices and inject structured JSON-LD data automatically.
Here is the architectural pattern and data model used to build these static comparison micro-sites.
1. Defining the Comparison Data Model in TypeScript
Instead of hardcoding HTML tables for each competitor analysis, defining a strict TypeScript interface ensures every micro-site renders consistent evaluation metrics (pricing model, learning format, regulatory updates, and pass guarantees):
export interface ComparisonMetric { featureName: string; primaryPlatformValue: string | boolean; competitorValue: string | boolean; highlightAdvantage?: boolean; } export interface ComparisonSiteConfig { slug: string; title: string; competitorCategory: 'legacy-portal' | 'career-directory' | 'trade-school'; lastUpdatedYear: number; metrics: ComparisonMetric[]; } By typing the competitorCategory, the UI components can dynamically adjust the layout depending on whether we are comparing two software tools or comparing digital self-study against an offline curriculum.
2. Live Production Deployments (Built on Lovable)
Using this modular structure, I deployed three separate micro-sites targeting different segments of the HVAC certification space:
Demo 1 (Legacy Portal Comparison): HVAC Exam Master vs EPATest.com — EPA 608 Prep Compared (2026) — Compares interactive active-recall testing (Core, Type I, II, and III modules) against static Web 1.0 study guides.
Demo 2 (Lead-Gen Directory Comparison): HVAC Exam Master vs HVAC Career Now (2026 Comparison) — Contrasts direct certification utility tools against school lead-generation portals.
Demo 3 (Offline Institution Comparison): HVAC Exam Master vs HVAC Technical Institute — 2026 Comparison — Evaluates self-paced digital exam prep ROI against traditional brick-and-mortar tuition costs.
3. Automating FAQ & Comparison JSON-LD Schema
To help search engines and AI answer engines parse the comparison matrices accurately, each micro-site injects a structured FAQPage and WebPage JSON-LD payload into the document head:
TypeScript
export function ComparisonSchema({ title, url, description }: { title: string; url: string; description: string }) { const schemaData = { "@context": "https://schema.org", "@type": "WebPage", "name": title, "url": url, "description": description, "specialty": "EPA Section 608 Certification Prep" }; return ( <script type="application/ld+json" dangerouslySetInnerHTML={{ __html: JSON.stringify(schemaData) }} /> ); } Key Takeaways for Frontend Builders
- Decouple Content from Layout: A shared TypeScript schema lets you spin up multiple comparison landing pages in minutes.
- Keep Micro-Sites Focused: Rather than building one massive table comparing ten different business models, isolating each comparison into its own deployment keeps page speed high and user intent clear.

