{
  "ok": true,
  "clientSlug": "geozation-ai",
  "services": [
    {
      "name": "AI Content Architecture",
      "description": "LLM-specific content schemas built on entity-node mapping, topic-cluster structure, and authoritative source embedding — engineered to maximize cosine similarity between brand entity vectors and high-intent query vectors inside ChatGPT and Gemini retrieval layers.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    },
    {
      "name": "AI Mention Monitoring",
      "description": "Daily 200+ prompt-battery execution across ChatGPT, Gemini, Perplexity, Claude, and Grok — measuring citation frequency, attribute sentiment polarity, and competitor citation share with structured weekly performance reports.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    },
    {
      "name": "Citation-Node Injection",
      "description": "Precision brand citations placed on third-party domains with confirmed LLM corpus weighting — verified via pre-placement retrieval audits — tracked for per-placement citation-frequency delta across ChatGPT, Gemini, Perplexity, Claude, and Grok.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    },
    {
      "name": "Corpus Sentiment Engineering",
      "description": "Counter-corpus saturation protocols to neutralize suppressive content signals — identifying and overriding negative embedding clusters through factually accurate, positively-weighted content on corpus-weighted domains verified for LLM retrieval presence.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    },
    {
      "name": "Multilingual LLM Optimization",
      "description": "Independent GEO execution stacks for EN, DE, FR, and ES language corpora — each with native citation-node placement on locally corpus-weighted domains, entity-attribute translation reviewed for semantic fidelity, and language-specific prompt-battery monitoring.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    },
    {
      "name": "Semantic Entity Structuring",
      "description": "Schema.org Organization graphs, FAQPage markup, and KG-compatible entity definitions that establish machine-readable brand attributes and raise cosine-similarity scores between brand entity and target query vectors in LLM embedding layers.",
      "pricingNote": "",
      "availability": "available",
      "url": ""
    }
  ]
}