— Étude de cas

Haute Dog Finders

Éleveur de doodles bilingue, Canada atlantique. Astro sur Cloudflare avec graphe Schema.org riche — LocalBusiness, Product par race, Event par portée.

PERFORMANCE
84 / 100
SCHEMA
23 types
LANGUAGES
EN-CA · FR-CA
SHIPPED
2026

— Le défi

Haute Dog Finders needed a bilingual web presence that could serve both English- and French-speaking Atlantic-Canadian families searching for doodle puppies. The existing solution lacked structured data, forcing the business to rely on plain-text listings that search engines had little context to understand — breeds, litters, and availability were invisible to Google's rich-result features.

— Ce que nous avons construit

We built the site from scratch on Astro deployed to Cloudflare Workers, giving every page sub-100ms edge-delivered HTML with no client-side framework overhead. The defining technical investment was a hand-authored Schema.org graph spanning 23 types — LocalBusiness, Product nodes per breed, Event nodes per litter, and BreadcrumbList chains throughout — so every listing carries machine-readable context. EN-CA / FR-CA routing was implemented at the Cloudflare layer, with locale-specific copy enforced at compile time via the same `defineCopy` pattern we use internally.

— Le résultat

The site scores 84 / 100 on Lighthouse Performance on Cloudflare's edge network and ships 23 distinct Schema.org types — giving Google the structured signals it needs to surface breed and litter information in rich results. Both language variants are fully self-contained and indexed independently, serving Atlantic Canada's bilingual audience without any English-fallback compromise.

  • Astro
  • Cloudflare Workers
  • Schema.org
  • EN-CA / FR-CA

— Visiter le site

hautedogfinders.ca ↗

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