# Compare ChatGPT, Gemini and Claude search interest

**Use case:** 

Compare Google search interest in ChatGPT, Gemini and Claude in the US over the past 12 months. Get weekly interest over time, interest by state and rising related queries as JSON, CSV or Excel.

## Input

```json
{
  "keywords": [
    "chatgpt",
    "gemini",
    "claude"
  ],
  "geos": [
    "US"
  ],
  "timeframe": "past_12_months",
  "compareKeywords": false,
  "property": "web",
  "category": 0,
  "interestOverTime": true,
  "interestByRegion": true,
  "relatedQueriesAndTopics": true,
  "language": "en-US",
  "delaySeconds": 1.5,
  "proxy": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword"
  },
  "geo": {
    "label": "Geo"
  },
  "timeframe": {
    "label": "Timeframe"
  },
  "averageInterest": {
    "label": "Avg interest (0–100)",
    "format": "number"
  },
  "peak": {
    "label": "Peak",
    "format": "object"
  },
  "comparedWith": {
    "label": "Compared with"
  },
  "error": {
    "label": "Error"
  }
}
```

## How it works

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

The Google Trends Scraper — Reliable, No Charge for Failures Actor is ready to run with the inputs already set for "Compare ChatGPT, Gemini and Claude search interest". [Sign up or log in](https://console.apify.com/create-task-from-example/P7grFPg5Nmym9yaag) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare ChatGPT, Gemini and Claude search interest" task

The Google Trends Scraper — Reliable, No Charge for Failures Actor will start running based on the input automatically. You can also change all the input fields, like search terms, regions, and more, to match your specific use case.

### 3. Receive the "Compare ChatGPT, Gemini and Claude search interest" 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 keyword, geo, timeframe, 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 ChatGPT, Gemini and Claude search interest" task via API](https://apify.com/fjordlabs/google-trends.md).

## FAQ

### What output fields does this task provide?

The Compare ChatGPT, Gemini and Claude search interest task provides fields for keyword, geo, timeframe, average interest, peak interest, compared keywords, and any errors.

### How does the average interest field work?

The average interest field indicates the average Google search interest for the specified keywords on a scale from 0 to 100.

### What types of interest data can I obtain from this task?

This task allows users to obtain interest over time, interest by state, and related rising queries based on specified keywords.

### Which keywords are compared in this task?

The task specifically compares the Google search interest of the keywords ChatGPT, Gemini, and Claude.

### Can I schedule this task to run automatically?

This task can be scheduled to run automatically in the Apify Console.

### Is there an automatic IP rotation feature in this task?

The task automatically rotates to a fresh IP when rate limits are encountered, reducing the chance of failures.

## About this Actor

This example demonstrates how to use [Google Trends Scraper — Reliable, No Charge for Failures](https://apify.com/fjordlabs/google-trends.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fjordlabs/google-trends.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/fjordlabs/google-trends.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`).