# Collect Brand Evidence From Custom Queries

**Use case:** 

Submit specific market questions and capture whether a brand appears, where it appears, and how the answer summarizes it.

## Input

```json
{
  "brandName": "Canva",
  "brandDomain": "canva.com",
  "platforms": [
    "perplexity",
    "chatgpt",
    "gemini"
  ],
  "queryTemplates": [
    "best_tools",
    "alternatives",
    "recommendations"
  ],
  "customQueries": [
    "What design tool is best for non-designers?",
    "Which presentation software is easiest for teams?",
    "What are good alternatives to PowerPoint for marketing teams?"
  ],
  "maxQueriesPerPlatform": 3,
  "responseFormat": "detailed",
  "industry": "AI content",
  "demoMode": false
}
```

## Output

```json
{
  "run_id": {
    "label": "Run ID",
    "format": "string"
  },
  "platform": {
    "label": "AI Platform",
    "format": "string"
  },
  "query": {
    "label": "Search Query",
    "format": "string"
  },
  "query_category": {
    "label": "Query Category",
    "format": "string"
  },
  "brand_name": {
    "label": "Brand Name",
    "format": "string"
  },
  "brand_mentioned": {
    "label": "Brand Mentioned",
    "format": "boolean"
  },
  "brand_mention_count": {
    "label": "Brand Mention Count",
    "format": "integer"
  },
  "brand_share_of_voice": {
    "label": "Brand Share of Voice",
    "format": "number"
  },
  "mention_position_score": {
    "label": "Mention Position Score",
    "format": "integer"
  },
  "sentiment": {
    "label": "Brand Sentiment",
    "format": "string"
  },
  "mention_context": {
    "label": "Mention Context",
    "format": "string"
  },
  "is_cited_as_source": {
    "label": "Cited as Source",
    "format": "boolean"
  },
  "cited_url": {
    "label": "Brand Citation URL",
    "format": "string"
  },
  "total_sources_cited": {
    "label": "Total Sources Cited",
    "format": "integer"
  },
  "competitor_mentions": {
    "label": "Competitor Mentions",
    "format": "array"
  },
  "competitor_mention_count": {
    "label": "Competitor Mention Count",
    "format": "integer"
  },
  "ai_response_summary": {
    "label": "AI Response Summary",
    "format": "string"
  },
  "model_used": {
    "label": "AI Model Used",
    "format": "string"
  },
  "scraped_at": {
    "label": "Checked At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Brand Monitor — Perplexity, ChatGPT, Claude & Gemini](https://apify.com/khadinakbar/ai-search-brand-monitor) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/ai-search-brand-monitor) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/ai-search-brand-monitor.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).