Compiling Type-Safe JSON-LD Entity Graphs with schema-dts for AI Search

Linking Organization, SoftwareApplication, and FAQPage via @id

Compiling Type-Safe JSON-LD Entity Graphs with schema-dts for AI Search — A technical implementation blueprint for growth engineers and technical SEOs. Learn how modern RAG answer engines parse linking organization, softwareapplication, and faqpage via @id and how to deploy deterministic fixes in under 10 minutes.

Implementation Checklist

• ✓ Serve /llms.txt and /llms-full.txt at root with Content-Type: text/plain; charset=utf-8.
• ✓ Authorize GPTBot, OAI-SearchBot, PerplexityBot, Google-Extended, and ClaudeBot in /robots.txt.
• ✓ Place concise 40–60 word Answer-First definitions immediately below every H2 heading.
• ✓ Compile a unified @graph JSON-LD block linking Organization, SoftwareApplication, and FAQPage with Wikidata sameAs URIs.

Reference Specification Snippet

# Example /llms.txt snippet for JSON-LD Knowledge Graphs
# Acme Cloud
> Enterprise json-ld knowledge graphs platform with deterministic APIs and SOC2 Type II compliance.

## Core Documentation
- [Quickstart Guide](https://acme.dev/docs/quickstart.md): 5-minute SDK setup and API authentication.
- [Pricing & Limits](https://acme.dev/pricing.md): Transparent self-serve and enterprise tier breakdown.