{
  "version": "1.0.0",
  "updated_at": "2026-09-28T13:00:00Z",
  "description": "Pre-built search index for client-side keyword matching across all Embassia content. Match query terms against the 'keywords' array to find relevant documents.",
  "usage": "Filter entries by matching user query terms against the 'keywords' array. Sort results by relevance (number of keyword matches). Return the 'api_url' field for full document retrieval.",
  "entries": [
    {
      "id": "site-overview",
      "title": "Embassia — Site Overview",
      "description": "Complete overview of Embassia — what it does, how it works, supported AI models, and FAQ.",
      "api_url": "https://embassia.com/api/v1/content/site.json",
      "keywords": ["embassia", "overview", "product", "agentic", "data layer", "LLM", "search console", "AI agents", "machine readable", "structured data"]
    },
    {
      "id": "product-how-it-works",
      "title": "How Embassia Works — 4-Step Pipeline",
      "description": "Convert to endpoints, Deploy On-Site Agent, Enable Agentic Protocol, Capture Telemetry.",
      "api_url": "https://embassia.com/api/v1/content/how-it-works.json",
      "keywords": ["endpoints", "pipeline", "on-site agent", "protocol", "telemetry", "how it works", "convert", "deploy", "MCP", "REST"]
    },
    {
      "id": "product-agent-experience",
      "title": "Agent Experience / Machine Mode",
      "description": "How AI agents discover, search, retrieve, and use website information through Embassia's structured APIs.",
      "api_url": "https://embassia.com/api/v1/content/agent-experience.json",
      "keywords": ["agent", "machine mode", "discovery", "retrieval", "search", "API", "structured", "llms.txt", "OpenAPI", "MCP"]
    },
    {
      "id": "product-llm-search-console",
      "title": "LLM Search Console",
      "description": "Privacy-preserving analytics showing what AI agents ask about your website.",
      "api_url": "https://embassia.com/api/v1/content/llm-search-console.json",
      "keywords": ["console", "analytics", "queries", "intent", "telemetry", "bot traffic", "privacy", "AEO", "SEO", "insights"]
    },
    {
      "id": "product-architecture",
      "title": "Technical Architecture",
      "description": "Embassia typed data layer architecture, supported protocols, and integration details.",
      "api_url": "https://embassia.com/api/v1/architecture.json",
      "keywords": ["architecture", "typed data layer", "protocol", "MCP", "REST", "JSON", "OpenAI", "integration", "API"]
    },
    {
      "id": "product-compatibility",
      "title": "AI Model Compatibility",
      "description": "Supported AI models: ChatGPT, Claude, Gemini, Perplexity, Copilot, Meta AI, Grok.",
      "api_url": "https://embassia.com/api/v1/content/compatibility.json",
      "keywords": ["ChatGPT", "Claude", "Gemini", "Perplexity", "Copilot", "Meta AI", "Grok", "compatibility", "models", "crawlers"]
    },
    {
      "id": "faq-01",
      "title": "How is LLM Search Console different from traditional AEO or SEO tools?",
      "description": "Embassia bypasses estimates by deploying an on-site agent that captures real agent interactions.",
      "api_url": "https://embassia.com/api/v1/faq/q01-difference.json",
      "keywords": ["AEO", "SEO", "difference", "traditional", "comparison", "on-site agent", "real data"]
    },
    {
      "id": "faq-02",
      "title": "What endpoints does Embassia create?",
      "description": "Typed JSON API endpoints with stable IDs, canonical URLs, content versioning, and freshness metadata.",
      "api_url": "https://embassia.com/api/v1/faq/q02-endpoints.json",
      "keywords": ["endpoints", "JSON", "API", "typed", "schema", "content versioning"]
    },
    {
      "id": "faq-03",
      "title": "How does Embassia protect my website?",
      "description": "On-site agent runs on your infrastructure. Only public information is served.",
      "api_url": "https://embassia.com/api/v1/faq/q03-protection.json",
      "keywords": ["protection", "security", "privacy", "on-site", "infrastructure", "public"]
    },
    {
      "id": "faq-04",
      "title": "Which protocols does Embassia support?",
      "description": "REST/JSON APIs, Anthropic MCP, OpenAI function calling, standard HTTP GET.",
      "api_url": "https://embassia.com/api/v1/faq/q04-protocols.json",
      "keywords": ["protocols", "REST", "MCP", "OpenAI", "HTTP", "function calling", "Anthropic"]
    },
    {
      "id": "faq-05",
      "title": "What insights does the LLM Search Console provide?",
      "description": "Agent visitors, questions asked, content retrieved, failed queries, missing information.",
      "api_url": "https://embassia.com/api/v1/faq/q05-insights.json",
      "keywords": ["insights", "analytics", "questions", "queries", "content gaps", "visitors"]
    },
    {
      "id": "faq-06",
      "title": "What is the technical architecture?",
      "description": "Typed data layer between website and AI agents. Content normalized into structured JSON.",
      "api_url": "https://embassia.com/api/v1/faq/q06-architecture.json",
      "keywords": ["architecture", "technical", "data layer", "JSON", "normalized", "structured"]
    },
    {
      "id": "developer-agent-access",
      "title": "Agent Access Developer Guide",
      "description": "How to integrate AI agents with Embassia's machine-readable interfaces.",
      "api_url": "https://embassia.com/api/v1/content/developer-guide.json",
      "keywords": ["developer", "integration", "guide", "API", "agent", "curl", "quick start"]
    }
  ]
}