# Track brand mentions in ChatGPT, Gemini, Perplexity and Claude

**Use case:** 

Ask ChatGPT, Claude, Gemini and Perplexity the questions your customers ask and see whether they mention your brand, where you rank against competitors and which websites they cite. One row per answer plus a summary with visibility per model and share of voice. Official model APIs, no API keys needed. $15 per 1,000 checks plus the model's own cost.

## Input

```json
{
  "brand": "Notion | notion.com",
  "competitors": [
    "Coda | coda.io",
    "Obsidian | obsidian.md",
    "Evernote | evernote.com",
    "Confluence | atlassian.com"
  ],
  "prompts": [
    "What is the best note-taking app for teams?",
    "Best alternative to Confluence for a startup wiki"
  ],
  "models": [
    "openai/gpt-6.1-sol",
    "anthropic/claude-sonnet-5.5",
    "google/gemini-3.8-flash",
    "perplexity/sonar"
  ],
  "webSearch": true,
  "repeats": 1,
  "maxChecks": 200,
  "includeAnswerText": true,
  "maxAnswerTokens": 1500,
  "concurrency": 4
}
```

## Output

```json
{
  "prompt": {
    "label": "Question"
  },
  "modelLabel": {
    "label": "Model"
  },
  "brandMentioned": {
    "label": "Mentioned",
    "format": "boolean"
  },
  "brandRank": {
    "label": "Rank",
    "format": "number"
  },
  "brandCited": {
    "label": "Cited",
    "format": "boolean"
  },
  "competitorsMentioned": {
    "label": "Competitors mentioned"
  },
  "citedDomains": {
    "label": "Cited domains"
  },
  "llmCostUsd": {
    "label": "Model cost $",
    "format": "number"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The AI Visibility Tracker — ChatGPT, Gemini, Perplexity & Claude Actor is ready to run with the inputs already set for "Track brand mentions in ChatGPT, Gemini, Perplexity and Claude". [Sign up or log in](https://console.apify.com/create-task-from-example/I6tlos9Ot7RXhA4DJ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track brand mentions in ChatGPT, Gemini, Perplexity and Claude" task

The AI Visibility Tracker — ChatGPT, Gemini, Perplexity & Claude Actor will start running based on the input automatically. You can also change all the input fields, like your brand, competitors, and more, to match your specific use case.

### 3. Receive the "Track brand mentions in ChatGPT, Gemini, Perplexity and Claude" 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 question, model, mentioned, 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 brand mentions in ChatGPT, Gemini, Perplexity and Claude" task via API](https://apify.com/saliga/ai-visibility-tracker.md).

## About this Actor

This example demonstrates how to use [AI Visibility Tracker — ChatGPT, Gemini, Perplexity & Claude](https://apify.com/saliga/ai-visibility-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/saliga/ai-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/saliga/ai-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`).
