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Compare AI chatbot search interest worldwide

See how worldwide Google search interest in ChatGPT, Gemini, Claude, Perplexity and Copilot compares over the last 12 months. One comparison query returns a weekly 0–100 score per tool, ready for a chart or spreadsheet.

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Google Trends Scraper (Reliable)
Google Trends Scraper (Reliable)seodatalab/google-trends-scraper
Search term
Geo
Time range
Interest over time
+2 fields
Text
Number
Boolean
List
Object

Input

Search terms(required):chatgpt, gemini, claude, perplexity, copilot
Time range:today 12-m
Data to collect:interestOverTime

Output fields

Search term
Geo
Time range
Interest over time
Note
Error

How it works

Sign up on Apify or log in

The Google Trends Scraper (Reliable) Actor is ready to run with the inputs already set for "Compare AI chatbot search interest worldwide". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare AI chatbot search interest worldwide" task

The Google Trends Scraper (Reliable) Actor will start running based on the input automatically. You can also change all the input fields, like search terms, time range, and more, to match your specific use case.

Receive the "Compare AI chatbot search interest worldwide" 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 search term, geo, time range, and more.

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 AI chatbot search interest worldwide" task via API.

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Integrate "Compare AI chatbot search interest worldwide" into your workflow

Connect "Compare AI chatbot search interest worldwide" with 100+ integrations, or run it via API or MCP.

Webhook

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Frequently asked questions

The AI chatbot comparison task returns one row with a weekly 0–100 Google search interest score for each of the five tools over the last 12 months, worldwide.

Edit the search term to any 2–5 comma-separated keywords in one line, e.g. "notion, obsidian, evernote", and the task compares them on the same 0–100 scale.