# Analyze Chinese Ai Visibility Sample

**Use case:** 

Run a self-contained four-row sample showing how ChatGPT, Gemini, Kimi, and Qwen observations are normalized into evidence-ready brand visibility data.

## Input

```json
{
  "brand": "Northstar Running",
  "brandAliases": [
    "Northstar"
  ],
  "competitors": [
    {
      "name": "StrideLab",
      "aliases": []
    },
    {
      "name": "PaceForge",
      "aliases": []
    }
  ],
  "inlineRows": [
    {
      "sourceActorId": "apify/chatgpt-search-scraper",
      "query": "Example observation: trail running brands for new runners",
      "text": "In this supplied example, Northstar Running appears before StrideLab and PaceForge.",
      "sources": [
        {
          "title": "Illustrative ChatGPT source",
          "url": "https://example.com/ai-visibility/chatgpt"
        }
      ],
      "checkedAt": "2026-08-01T10:00:00.000Z"
    },
    {
      "sourceActorId": "apify/gemini-search-scraper",
      "query": "Example observation: lightweight marathon shoes",
      "text": "This illustrative answer compares PaceForge, Northstar Running, and StrideLab.",
      "sources": [
        {
          "title": "Illustrative Gemini source",
          "url": "https://example.com/ai-visibility/gemini"
        }
      ],
      "checkedAt": "2026-08-01T10:01:00.000Z"
    },
    {
      "sourceActorId": "fayoussef/bulk-llm-runner",
      "prompt": "Example Kimi comparison; return answer and brandsMentioned.",
      "model": "moonshotai/kimi-k2.6",
      "response": "{\"answer\":\"StrideLab, Northstar Running, and PaceForge appear in this supplied example.\",\"brandsMentioned\":[\"StrideLab\",\"Northstar Running\",\"PaceForge\"]}",
      "tools_used": [
        "web_search"
      ],
      "annotations": [
        {
          "type": "url_citation",
          "url_citation": {
            "url": "https://example.com/ai-visibility/kimi"
          }
        }
      ],
      "checkedAt": "2026-08-01T10:02:00.000Z"
    },
    {
      "sourceActorId": "ai-observation-1.0",
      "schemaVersion": "1.0",
      "query": "Example Qwen observation: sustainable running brands",
      "modelId": "qwen/qwen-max",
      "answerSnippet": "Northstar Running, PaceForge, and StrideLab are compared in this supplied example.",
      "citedUrls": [
        "https://example.com/ai-visibility/qwen"
      ],
      "checkedAt": "2026-08-01T10:03:00.000Z"
    }
  ],
  "sourceActorHint": "auto",
  "market": "China",
  "language": "English",
  "maxRows": 10
}
```

## Output

```json
{
  "brand": {
    "label": "Brand",
    "format": "text"
  },
  "query": {
    "label": "Query",
    "format": "text"
  },
  "modelFamily": {
    "label": "Model",
    "format": "text"
  },
  "mentioned": {
    "label": "Mentioned",
    "format": "boolean"
  },
  "position": {
    "label": "Position",
    "format": "number"
  },
  "competitors": {
    "label": "Competitors",
    "format": "array"
  },
  "groundingStatus": {
    "label": "Grounding",
    "format": "text"
  },
  "qualityFlags": {
    "label": "Quality flags",
    "format": "array"
  },
  "citedDomains": {
    "label": "Cited domains",
    "format": "array"
  },
  "answerSnippet": {
    "label": "Answer",
    "format": "text"
  },
  "checkedAt": {
    "label": "Checked",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Chinese AI Visibility Dataset Analyzer](https://apify.com/zinin/chinese-ai-visibility-dataset-analyzer.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zinin/chinese-ai-visibility-dataset-analyzer.md) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/zinin/chinese-ai-visibility-dataset-analyzer.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).