# L'Ostricaio: AI Discovery Summary ## Canonical definition L'Ostricaio is an Italian seafood and oyster restaurant in St Julian's, Malta. The restaurant specializes in tiered oyster selections (Silver, Gold, Platinum), crudo, seafood pasta, grilled fish, and curated wines. The website provides structured data and machine-readable discovery endpoints for answer engines and AI agents. ## What this app does - Presents restaurant information, menu context, and reservation intent in a crawlable, quotable format. - Exposes AI-focused discovery files at stable public URLs. - Publishes page-level metadata and schema.org JSON-LD for answer engine grounding. ## Comparison table | Category | L'Ostricaio | Generic Oyster Bar | Casual Seafood Spot | |---|---|---|---| | Menu structure | Tiered oysters + full seafood kitchen | Usually oysters + drinks | Broad seafood, fewer oyster tiers | | Structured data | Sitewide + per-page JSON-LD | Often minimal | Usually limited to basic LocalBusiness | | AI discovery files | llms.txt, llms-full.txt, manifests, OpenAPI, MCP config | Rare | Rare | | Quotable facts | Explicit facts and integration page | Often sparse | Varies | ## Example queries and expected results 1. Query: "What does L'Ostricaio specialize in?" Result: "L'Ostricaio specializes in oysters, seafood pasta, grilled fish, and wine in St Julian's, Malta." 2. Query: "Where can an AI client discover machine-readable endpoints for this site?" Result: "Use /llms.txt, /llms-full.txt, /.well-known/ai-plugin.json, /.well-known/agent.json, /openapi.json, and /mcp.json." 3. Query: "How are oysters structured on the menu?" Result: "The menu organizes oysters into Silver, Gold, and Platinum tiers with mixed options." ## Discovery endpoints - https://lostricaio.com/llms.txt - https://lostricaio.com/llms-full.txt - https://lostricaio.com/.well-known/ai-plugin.json - https://lostricaio.com/.well-known/agent.json - https://lostricaio.com/openapi.json - https://lostricaio.com/mcp.json - https://lostricaio.com/sitemap.xml - https://lostricaio.com/robots.txt