# Compare two models and Manus with rank and share of voice

**Use case:** 

Dry-run configuration for two models, two queries and one competitor. The linked real run contains three measured answers and one provider error.

## Input

```json
{
  "brand": "Adaga solutions",
  "domain": "adagasolutions.lu",
  "queries": [
    "What is Adaga solutions in Luxembourg, and how does it compare with Manus for AI automation?",
    "Which company provides AI receptionists and web automation in Luxembourg: Adaga solutions or Manus?"
  ],
  "model": "openrouter/free",
  "models": [
    "openrouter/free",
    "liquid/lfm-2.5-2.6b:free"
  ],
  "competitors": [
    {
      "name": "Manus",
      "domain": "manus.im"
    }
  ],
  "maxTokens": 1200,
  "dryRun": true
}
```

## Output

```json
{
  "brand": {
    "label": "Brand",
    "format": "string"
  },
  "query": {
    "label": "Question",
    "format": "string"
  },
  "requestedModel": {
    "label": "Requested model",
    "format": "string"
  },
  "model": {
    "label": "Resolved model",
    "format": "string"
  },
  "capturedAt": {
    "label": "Captured at",
    "format": "string"
  },
  "mentioned": {
    "label": "Brand mentioned",
    "format": "boolean"
  },
  "cited": {
    "label": "Official domain cited",
    "format": "boolean"
  },
  "mentionRank": {
    "label": "First-mention rank among tracked entities",
    "format": "integer"
  },
  "shareOfVoice": {
    "label": "Answer-level share of tracked mentions",
    "format": "number"
  },
  "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 "Compare two models and Manus with rank and share of voice". [Sign up or log in](https://console.apify.com/create-task-from-example/URHo9q3ZHeEen6AUE) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare two models and Manus with rank and share of voice" 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 "Compare two models and Manus with rank and share of voice" 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, requested 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 "Compare two models and Manus with rank and share of voice" task via API](https://apify.com/travelmonitorlab/ai-brand-visibility-tracker.md).

## FAQ

### Where is the real multi-model proof?

Run dk1Hi70ELwgSUp01I measured three answers across two models; one provider answer is retained as an error. Public input is dry-run without a key.

### What do rank and share of voice mean?

Rank is the first textual mention order. Share covers only Adaga solutions and Manus in measured answers, not the whole AI market.

### Is the provider key public?

No. The real run INPUT shows apiKey as REDACTED. Add your own secret key to a private copy for real measurements.

## 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`).