{
  "name": "Chudi Nnorukam",
  "description": "AI Visible Web Architect. Operator of citability.dev (forensic AI Visibility audit deliverables) and chudi.dev (case-study implementation of the AVR Framework v1.1.0). Specializes in AI SEO, Generative Engine Optimization (GEO), entity engineering, and cross-platform Entity Authority Tier remediation for sub-DR-20 brands.",
  "version": "1.1.0",
  "documentationUrl": "https://chudi.dev/framework#agent-api",
  "provider": {
    "url": "https://chudi.dev",
    "organization": "Chudi Nnorukam"
  },
  "supportedInterfaces": [
    {
      "url": "https://chudi.dev/api/agent/dispatch",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    }
  ],
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": ["text/plain", "application/json"],
  "defaultOutputModes": ["text/plain", "application/json"],
  "skills": [
    {
      "id": "ai-visibility-consulting",
      "name": "AI Visibility Consulting",
      "description": "Diagnose why a brand is or is not cited by AI engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Mode + AI Overviews). Outputs a board-grade audit deliverable with calibration receipts, NOT a dashboard.",
      "tags": ["ai-visibility", "geo", "aeo", "consulting", "audit"],
      "examples": [
        "Why is my brand not cited by ChatGPT for my category query?",
        "Audit my domain's AI citation rate across Claude, Perplexity and ChatGPT."
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    },
    {
      "id": "geo-seo-engineering",
      "name": "Generative Engine Optimization (GEO) + Technical SEO",
      "description": "Structured data depth audits (Person+sameAs, Organization+contactPoint, Article+datePublished), Fact-Block Density remediation per the answer-first rule, Topic Cluster Completeness mapping, llms.txt reclassification per Google I/O 2026 guidance.",
      "tags": ["geo", "technical-seo", "structured-data", "schema-org", "llms-txt"],
      "examples": [
        "Audit the structured-data depth on my domain.",
        "Map topic cluster completeness for my content pillars."
      ],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    },
    {
      "id": "entity-authority-tier-audit",
      "name": "Entity Authority Tier audit (AVR v1.1.0 section 2.6)",
      "description": "Cross-platform author corroboration: Wikipedia + Wikidata + sameAs graph completeness + third-party publication count + speaking-engagement signals + LinkedIn + Reddit + YouTube + listicle + HARO presence. Phase 1 shipped via /citability section5; Phase 2+ in development.",
      "tags": ["entity-authority", "wikidata", "sameas", "eeat", "avr"],
      "examples": ["Score my entity authority tier across platforms."],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    },
    {
      "id": "citation-decay-rate-analysis",
      "name": "Citation Decay Rate analysis (AVR v1.1.0 section 7)",
      "description": "Citation half-life + decay slope + displacement event detection + Citation Retention Rate, computed from Bing AI Performance CSV plus multi-engine polling.",
      "tags": ["citation-decay", "measurement", "avr", "analytics"],
      "examples": ["Compute the citation half-life for my cited pages."],
      "inputModes": ["text/plain"],
      "outputModes": ["application/json"]
    }
  ]
}