# Preview AI brand visibility measurements

**Use case:** 

Technical dry-run showing the answer-level measurement schema. Disable dryRun in your copy and provide your own OpenRouter key for a real measurement.

## Input

```json
{
  "brand": "Adaga solutions",
  "domain": "adagasolutions.lu",
  "queries": [
    "What is Adaga solutions in Luxembourg?"
  ],
  "model": "openrouter/free",
  "maxTokens": 2000,
  "dryRun": true
}
```

## Output

```json
{
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "query": {
    "label": "Question",
    "format": "string"
  },
  "model": {
    "label": "Model",
    "format": "string"
  },
  "capturedAt": {
    "label": "Captured at",
    "format": "string"
  },
  "mentioned": {
    "label": "Brand mentioned",
    "format": "boolean"
  },
  "cited": {
    "label": "Official domain cited",
    "format": "boolean"
  },
  "citationCount": {
    "label": "Citation count",
    "format": "integer"
  },
  "changes": {
    "label": "Changes since previous answer",
    "format": "array"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  }
}
```

## How it works

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

The AI Brand Visibility Tracker — Mentions & Citations Actor is ready to run with the inputs already set for "Preview AI brand visibility measurements". [Sign up or log in](https://console.apify.com/create-task-from-example/weToSEJZKDxwL7zbj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Preview AI brand visibility measurements" task

The AI Brand Visibility Tracker — Mentions & Citations Actor will start running based on the input automatically. You can also change all the input fields, like brand name, official domain, and more, to match your specific use case.

### 3. Receive the "Preview AI brand visibility measurements" 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 brand, question, model, 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 "Preview AI brand visibility measurements" task via API](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md).

## FAQ

### Does this public example call an AI model?

No. It is a clearly marked technical dry-run with no provider call and no event charges. Copy it, disable dryRun and add your own OpenRouter key for a real measurement.

### What does the Actor measure?

It records exact brand mentions, model-provided URLs, official-domain citations and changes over time for the selected model and prompts.

### Are AI answers verified facts?

No. Answers and citations are model-provided evidence and can be inaccurate; the Actor preserves them for human review.

## About this Actor

This example demonstrates how to use [AI Brand Visibility Tracker — Mentions & Citations](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.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/travelmonitorlab/ai-brand-visibility-tracker.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`).