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  • Client:  Liberty Foundation Repair
  • Delivered On:  2025
  • Region:  Texas, USA
Introduction

Liberty Foundation Repair is a high-performance marketing website for a Texas foundation-repair contractor, engineered as a lead-acquisition engine rather than a static brochure. The site serves homeowners across five major Texas regions who are searching for foundation, pier-and-beam, crawlspace, and concrete-lifting services — typically in an urgent, high-intent moment. Every page is built to capture that intent and route it into a single booking flow.

The build treats SEO as an engineering discipline: it is a React SPA that is pre-rendered to static HTML at build time, so search crawlers and AI answer engines index fully-formed pages while users still get the speed of a single-page app. The result is broad organic reach across ~50 city-level landing pages, competitor-comparison pages, and a service-area content hub — all funneling to one conversion point.

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Goals and Challenges

The core objective was aggressive organic growth and inbound lead capture in a competitive local-services market. The central challenge was reconciling two normally-opposing forces: the developer experience and interactivity of a React SPA versus the crawlability and Core Web Vitals demands of technical SEO. SPAs are notoriously weak for indexing. This was solved with a custom build pipeline that generates per-route static HTML, region/city data, JSON-LD schema, an llms.txt file for AI engines, and an auto-generated sitemap — plus automated SEO regression checks that fail the build if homepage/about metadata drifts. A secondary challenge was consolidating scattered lead-capture flows into one reliable, embedded booking widget.

Key features

  • Build-time static pre-rendering A custom Node pipeline renders each React route to crawlable static HTML, giving the site SSG-grade indexing without abandoning the SPA architecture.
  • Programmatic local-SEO at scale ~50 data-driven city landing pages across DFW, Houston, San Antonio, Austin, and East Texas, each with region-specific soil/climate copy to rank for hyper-local searches.
  • Structured data & AI-engine optimization JSON-LD LocalBusiness, FAQPage, and AggregateRating schema sitewide, plus an auto-generated llms.txt to surface the brand in AI-powered search.
  • Competitor comparison pages Dedicated /vs/ pages (Ram Jack, Olshan, HD Foundation) to capture bottom-of-funnel comparison traffic.
  • Unified conversion funnel All CTAs route to a single embedded Jobber booking widget, eliminating leaky multi-form flows.
  • Automated SEO guardrails Build-time scripts validate metadata and block deploys when SEO requirements regress, treating SEO as a testable spec.
  • Performance-first UX Framer Motion micro-interactions, optimized images, an auto-hiding header, and Tailwind v4 for a fast, polished, fully responsive experience tuned for Core Web Vitals.

Tools and Technologies

React
TypeScript
NodeJS
Git
JavaScript
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