# Track Asana vs monday.com visibility in ChatGPT

**Use case:** 

Asks ChatGPT which project management software fits small teams and marketing teams, then checks if Asana is mentioned, its rank against monday.com, ClickUp, Trello and Notion, and whether asana.com is cited as a source. You get the full dated answer, the cited sources and the share of voice for each question.

## Input

```json
{
  "brandName": "Asana",
  "brandAliases": [],
  "brandDomain": "asana.com",
  "competitors": [
    "monday.com",
    "ClickUp",
    "Trello",
    "Notion"
  ],
  "questions": [
    "best project management software for small teams",
    "Asana vs monday.com for marketing teams"
  ],
  "samplesPerQuestion": 1,
  "country": "US",
  "includeFullAnswer": true
}
```

## Output

```json
{
  "checkedAt": {
    "label": "Checked at",
    "format": "string"
  },
  "question": {
    "label": "Question",
    "format": "string"
  },
  "sampleIndex": {
    "label": "Sample",
    "format": "integer"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "brandMentioned": {
    "label": "Brand mentioned",
    "format": "boolean"
  },
  "brandRank": {
    "label": "Brand rank",
    "format": "integer"
  },
  "brandMentionCount": {
    "label": "Mentions",
    "format": "integer"
  },
  "brandCitedAsSource": {
    "label": "Your site cited",
    "format": "boolean"
  },
  "brandShareOfVoice": {
    "label": "Share of voice",
    "format": "number"
  },
  "trackedNamesMentioned": {
    "label": "Tracked names mentioned",
    "format": "number"
  },
  "model": {
    "label": "Model",
    "format": "string"
  },
  "errorMessage": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Brand AI Answers Tracker: ChatGPT brand visibility Actor is ready to run with the inputs already set for "Track Asana vs monday.com visibility in ChatGPT". [Sign up or log in](https://console.apify.com/create-task-from-example/eCzEUFhcbHxJXnLEg) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track Asana vs monday.com visibility in ChatGPT" task

The Brand AI Answers Tracker: ChatGPT brand visibility Actor will start running based on the input automatically. You can also change all the input fields, like brand name, brand aliases, and more, to match your specific use case.

### 3. Receive the "Track Asana vs monday.com visibility in ChatGPT" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as checked at, question, sample, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Track Asana vs monday.com visibility in ChatGPT" task via API](https://apify.com/sillage-data/brand-ai-answers.md).

## About this Actor

This example demonstrates how to use [Brand AI Answers Tracker: ChatGPT brand visibility](https://apify.com/sillage-data/brand-ai-answers.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sillage-data/brand-ai-answers.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sillage-data/brand-ai-answers.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).