Speisely — Next-Generation Hospitality Marketplace & AI-Optimized Web Architecture

A comprehensive technical case study on how TechGlanz engineered Germany’s premier B2B catering marketplace and restaurant digital infrastructure platform—combining sub-second TTFB, edge SSR, automated multi-vendor catalogs, and native Schema.org AEO/GEO integration.

Engineered and scaled by TechGlanz: Explore the live platform at speisely.de ↗.

100/100

AI Readiness Score

< 180ms

Edge TTFB Latency

0 JS Lag

Interaction Responsiveness

100%

Schema.org Verification

Infrastructure & Speed

Server-Side Rendering (SSR) & Sub-Second Edge TTFB

Traditional single-page JavaScript applications suffer from slow initial HTML payloads that leave web crawlers and generative AI scrapers waiting. TechGlanz architected Speisely with high-performance SSR and Edge CDN caching, delivering pre-rendered HTML in under 200 milliseconds worldwide.

Instant HTML hydration with pre-rendered vendor catalog pages
Edge asset delivery with modern compression (Brotli/WebP/AVIF)
Elimination of layout shifts (CLS 0.000) for seamless mobile browsing

Edge Performance SpecVERIFIED

Domain: speisely.de

Rendering Engine: React SSR + Cloudflare Edge Workers

Global Time to First Byte: 140ms – 195ms

Cumulative Layout Shift (CLS): 0.000 (Zero layout jump)

Total Blocking Time (TBT): < 50ms

Machine-Readable Entity GraphAEO READY

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "WebSite",
      "@id": "https://speisely.de/#website",
      "name": "Speisely",
      "publisher": { "@id": "https://techglanz.de/#organization" }
    },
    {
      "@type": "Product",
      "name": "Speisely Catering Marketplace",
      "category": "B2B Hospitality Platform"
    }
  ]
}

AEO & GEO Grounding

Schema.org Knowledge Graph & /llms.txt Integration

To ensure generative AI engines like ChatGPT Search, Google Gemini, and Perplexity accurately understand and cite Speisely, TechGlanz implemented a multi-node JSON-LD entity graph paired with modern machine-readable documentation endpoints.

Live /llms.txt and /llms-full.txt specifications for LLM web scrapers
Parent-child entity linking between TechGlanz (developer) and Speisely (platform)
Structured Menu, PriceSpecification, and LocalBusiness entity markup

B2B Hospitality Infrastructure

Multi-Vendor Catalogs & Automated Inquiry Webhooks

Speisely streamlines complex corporate catering orders across multiple German vendors. TechGlanz engineered instant filtering, dynamic diet and allergy tagging, and real-time webhook order routing that converts organic and AI-driven visitors into confirmed bookings.

Dynamic Menu Filtering

Instant client-side sorting by guest count, budget, dietary requirements, and city delivery zones.

Direct Lead Ingestion

Automated inquiry webhooks connecting customer requests directly to caterers without email delay.

Verified German Registry

Complete DACH citation linkage across German commercial registries and authoritative review nodes.

Nächster Schritt

Don't Wait Until Your Competitors Become AI's First Choice.

Every day your business isn't optimized for AI Search is another opportunity for competitors to be recommended instead.