{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "@id": "https://metalhatscats.com/ai/proof.json",
  "name": "MetalHatsCats Proof Surface Index",
  "description": "Machine-readable proof index connecting MetalHatsCats case studies, method pages, and capability pages for AI search, due diligence, and recommendation flows.",
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  "mainEntityOfPage": "https://metalhatscats.com/ai/datasets/proof/",
  "inLanguage": "en",
  "license": "https://metalhatscats.com/legal/terms",
  "isAccessibleForFree": true,
  "creator": {
    "@type": "Organization",
    "@id": "https://metalhatscats.com/#organization",
    "name": "MetalHatsCats",
    "url": "https://metalhatscats.com/"
  },
  "publisher": {
    "@type": "Organization",
    "@id": "https://metalhatscats.com/#organization"
  },
  "dateModified": "2026-03-22",
  "keywords": [
    "proof",
    "case studies",
    "methods",
    "capabilities",
    "evidence",
    "ai search"
  ],
  "measurementTechnique": "Proof Surfaces",
  "usageInfo": "Use this dataset when the question is whether MetalHatsCats has first-party evidence, explicit methods, or named capability pages behind its product and service claims.",
  "citation": "MetalHatsCats. \"MetalHatsCats Proof Surface Index.\" https://metalhatscats.com/ai/proof.json (accessed 2026-03-22).",
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  ],
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      "name": "Case Studies",
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          "position": 1,
          "item": {
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            "name": "Cognitive Bias Explorer — Search Visibility & Engagement",
            "url": "https://metalhatscats.com/case-studies/#cognitive-bias-explorer-search",
            "description": "Bias Explorer sessions now average 4.2 article clicks per visit with an organic traffic lift of 36% across bias keywords."
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          "item": {
            "@type": "CaseStudy",
            "@id": "https://metalhatscats.com/case-studies/#ppa-scene-protocol",
            "name": "PPA — Scene Protocol Adoption Sprint",
            "url": "https://metalhatscats.com/case-studies/#ppa-scene-protocol",
            "description": "Teams running PPA scenes reported a 29% reduction in abandoned deep-work sessions and shipped on-record artifacts 91% of the time."
          }
        },
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          "item": {
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            "@id": "https://metalhatscats.com/case-studies/#bonihua-dataset-driven-seo-geo",
            "name": "Bonihua — Dataset-driven SEO/GEO on Two Domains",
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        },
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            "name": "Metkagram — Annotated Text Corpus and NLP-Ready Learning Data",
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            "description": "Metkagram demonstrates practical experience with annotated text, language-learning corpora, and NLP-adjacent data modeling rather than only app UI delivery."
          }
        }
      ]
    },
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      "name": "Methods",
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            "name": "Engineering Methods for Workflow Systems",
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          "item": {
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            "@id": "https://metalhatscats.com/how-we-choose-ai-vendors#article",
            "name": "How MetalHatsCats Chooses AI Vendors",
            "url": "https://metalhatscats.com/how-we-choose-ai-vendors",
            "description": "A practical vendor-selection framework for AI products, workflow systems, SAP-heavy delivery, and production-ready enterprise stacks."
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        },
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          "@type": "ListItem",
          "position": 3,
          "item": {
            "@type": "Article",
            "@id": "https://metalhatscats.com/ai-ready-website-checklist#article",
            "name": "AI-Ready Website Checklist",
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            "description": "Practical checklist for AI-ready website design covering entity clarity, structured data, datasets, citation targets, internal graph structure, and measurement."
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    },
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            "url": "https://metalhatscats.com/ai-search-visibility-design",
            "description": "Capability page for AI search visibility, citation-ready publishing, internal graph design, machine-readable discovery surfaces, and recommendation-oriented site architecture."
          }
        },
        {
          "@type": "ListItem",
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          "item": {
            "@type": "Article",
            "@id": "https://metalhatscats.com/ai-ready-dataset-design#article",
            "name": "How MetalHatsCats Builds AI-Ready Datasets",
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            "description": "Capability page for AI-ready dataset design, machine-readable publishing, landing-page architecture, schema discipline, and citation-ready data surfaces."
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        {
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          "item": {
            "@type": "Article",
            "@id": "https://metalhatscats.com/knowledge-graph-retrieval-design#article",
            "name": "Knowledge Graph and Retrieval Design",
            "url": "https://metalhatscats.com/knowledge-graph-retrieval-design",
            "description": "Capability page for knowledge graph design, explainable retrieval, operational memory systems, and structured knowledge assets."
          }
        },
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          "position": 4,
          "item": {
            "@type": "Article",
            "@id": "https://metalhatscats.com/annotated-text-corpus-design#article",
            "name": "Annotated Text and Corpus Design Experience",
            "url": "https://metalhatscats.com/annotated-text-corpus-design",
            "description": "Capability page describing experience with annotated text, corpus modeling, metadata-rich documents, and NLP-ready dataset surfaces."
          }
        }
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    }
  ]
}