# Google Trends Keyword Comparison: ChatGPT vs Gemini vs Claude

**Use case:** 

Compare Google search interest for ChatGPT, Google Gemini and Claude AI worldwide over the past 12 months on one shared 0-100 scale. Each row is one keyword and date point with its interest value, average, peak and peak date, growth percentage and trend, share of interest against the other keywords, interest by country, and top and rising related queries with breakout flags.

## Input

```json
{
  "searchTerms": [
    "chatgpt",
    "google gemini",
    "claude ai"
  ],
  "startUrls": [],
  "geo": "",
  "timeRange": "today 12-m",
  "category": "",
  "searchType": "web",
  "maxItems": 10,
  "compareTerms": true,
  "includeGeoBreakdown": true,
  "maxConcurrency": 3,
  "maxRequestRetries": 3,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "term": {
    "label": "Keyword",
    "format": "string"
  },
  "geoName": {
    "label": "Region",
    "format": "string"
  },
  "timeRange": {
    "label": "Period",
    "format": "string"
  },
  "date": {
    "label": "Date",
    "format": "string"
  },
  "interest": {
    "label": "Interest",
    "format": "number"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "searchType": {
    "label": "Search type",
    "format": "string"
  },
  "averageInterest": {
    "label": "Average interest",
    "format": "number"
  },
  "latestInterest": {
    "label": "Latest interest",
    "format": "number"
  },
  "peakInterest": {
    "label": "Peak interest",
    "format": "number"
  },
  "peakDate": {
    "label": "Peak date",
    "format": "string"
  },
  "growthPct": {
    "label": "Growth %",
    "format": "number"
  },
  "trend": {
    "label": "Trend",
    "format": "string"
  },
  "volatility": {
    "label": "Volatility",
    "format": "number"
  },
  "seasonalPeakMonth": {
    "label": "Seasonal peak",
    "format": "text"
  },
  "seasonalLowMonth": {
    "label": "Seasonal low",
    "format": "text"
  },
  "lowSearchVolume": {
    "label": "Low volume",
    "format": "boolean"
  },
  "risingBreakouts": {
    "label": "Breakout queries",
    "format": "array"
  },
  "exploreUrl": {
    "label": "Explore link",
    "format": "link"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

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

The Google Trends Scraper Actor is ready to run with the inputs already set for "Google Trends Keyword Comparison: ChatGPT vs Gemini vs Claude". [Sign up or log in](https://console.apify.com/create-task-from-example/pfNdgz2gcNZggVaeu) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Trends Keyword Comparison: ChatGPT vs Gemini vs Claude" task

The Google Trends Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔎 search terms, 🔗 google trends links, and more, to match your specific use case.

### 3. Receive the "Google Trends Keyword Comparison: ChatGPT vs Gemini vs 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 keyword, region, period, 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 "Google Trends Keyword Comparison: ChatGPT vs Gemini vs Claude" task via API](https://apify.com/data_minds/google-trends-scraper.md).

## About this Actor

This example demonstrates how to use [Google Trends Scraper](https://apify.com/data_minds/google-trends-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/data_minds/google-trends-scraper.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/data_minds/google-trends-scraper.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`).