AI Recommendation Potential — per-prompt-class breakdown of how likely AI engines (ChatGPT, Claude, Gemini, Perplexity, Grok) are to recommend the entity. Projects stored Decision Survival probes onto a canonical prompt-class taxonomy (Discovery, Evaluation under pushback, Constrained final choice; hiring / learning / category leaders / risk / adjacent are framework-declared and not yet probed). Coded reducer, zero LLM cost.

Example response

{
  "computationVersion": "ai-recommendation-potential@1",
  "confidence": {
    "version": "7.0.0"
  },
  "classes": [
    {
      "label": "Discovery",
      "reading": {
        "perEngine": [
          {
            "engine": "ChatGPT",
            "maker": "OpenAI",
            "makerHref": "/entity/openai"
          }
        ]
      }
    }
  ],
  "strongestClasses": [
    {
      "label": "Discovery",
      "reading": {
        "perEngine": [
          {
            "engine": "ChatGPT",
            "maker": "OpenAI",
            "makerHref": "/entity/openai"
          }
        ]
      }
    }
  ],
  "weakestClasses": [
    {
      "label": "Discovery",
      "reading": {
        "perEngine": [
          {
            "engine": "ChatGPT",
            "maker": "OpenAI",
            "makerHref": "/entity/openai"
          }
        ]
      }
    }
  ],
  "provenance": {
    "issuer": "Entidex"
  }
}