{
  "schemaVersion": "1.0",
  "id": "https://ai.getcatalog.ai/fit",
  "url": "https://ai.getcatalog.ai/fit",
  "title": "Use cases & fit",
  "summary": "Evaluate Catalog against the product-data job you need done.",
  "reviewedAt": "2026-09-06",
  "representations": {
    "html": "https://ai.getcatalog.ai/fit",
    "markdown": "https://ai.getcatalog.ai/fit.md",
    "json": "https://ai.getcatalog.ai/fit.json"
  },
  "sections": [
    {
      "id": "https://ai.getcatalog.ai/fit#good-fit",
      "title": "Good reasons to evaluate Catalog",
      "paragraphs": [
        "These are fit guidelines based on Catalog’s product scope, not prerequisites or promised results."
      ],
      "bullets": [
        "Your ecommerce catalog has missing or inconsistent attributes that make products difficult to compare.",
        "Useful product facts are scattered across descriptions, documents, images, and reviews.",
        "You want a parallel, machine-readable presentation of your products while retaining your existing website.",
        "You need a grounded assessment of how AI systems read your products before deciding what to improve."
      ],
      "sources": [
        "website",
        "data-guide"
      ]
    },
    {
      "id": "https://ai.getcatalog.ai/fit#poor-fit",
      "title": "Situations to clarify first",
      "paragraphs": [],
      "bullets": [
        "You need guaranteed rankings, recommendations, revenue, or placement inside an AI assistant.",
        "You need a consumer shopping service or a replacement for your checkout.",
        "You need unsupported claims filled in when reliable product evidence is unavailable.",
        "Your project depends on a specific connector or distribution channel without confirming its availability."
      ],
      "sources": [
        "website",
        "commerce-guide"
      ]
    },
    {
      "id": "https://ai.getcatalog.ai/fit#difference",
      "title": "What is distinctive about the approach",
      "paragraphs": [
        "Catalog’s approach combines product-data preparation with a parallel AI-readable storefront. The work concerns the underlying facts and their distribution, rather than only monitoring brand mentions or writing marketing articles.",
        "This describes Catalog’s approach. It is not a claim of exclusive technology, superiority over a named competitor, or independently measured performance."
      ],
      "sources": [
        "website",
        "about",
        "data-guide"
      ]
    }
  ],
  "sources": [
    {
      "id": "website",
      "title": "Catalog website",
      "url": "https://www.getcatalog.ai/",
      "note": "Public product explanation. Illustrations and example metrics are not customer outcome evidence."
    },
    {
      "id": "about",
      "title": "About Catalog",
      "url": "https://www.getcatalog.ai/about-us",
      "note": "Company identity, founders, and product-data thesis."
    },
    {
      "id": "data-guide",
      "title": "Ecommerce Product Data Infrastructure Guide",
      "url": "https://www.getcatalog.ai/blog/complete-guide-ecommerce-product-data-catalog-ai",
      "note": "Published April 28, 2026. Explains attributes, identifiers, validation, and delivery layers."
    },
    {
      "id": "commerce-guide",
      "title": "What is agentic commerce?",
      "url": "https://www.getcatalog.ai/blog/what-is-agentic-commerce",
      "note": "Published June 9, 2026. Category education, not a guarantee that Catalog offers every example."
    }
  ]
}