ChatGPT and Gemini brand mention rate over 5 reads

Created by

Hyperbach

Actor

ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview

ChatGPT and Gemini answer differently on every read, so one read is a sample. This task asks 2 note-app questions 5 times of each engine, live (20 rows, repeat 1 to 5) and tracks Obsidian against Notion, Evernote and OneNote. Each row has the brand fields of its read; the run summary's brand_rates give each engine's mention rate, cited rate and the positions seen.

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ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overviewhyperbach/ai-search-answers

Row type

Query

Engine

Engine name

+50 fields

Input

Queries (prompts):best note taking app+1

Engines:chatgpt+1

Read mode (live or the standard queue):live

Repeats per cell:5

Brand to track:Obsidian

Brand domain:obsidian.md

Competitors:Notion+2

Competitor domains:notion.com+2

Output fields

Row type

Query

Engine

Engine name

Route

Read mode

Repeat

Reads in run

Status

Status detail

Charged

Scraped at

Answered at

Country

Location code

Language

Task id

Model

Web search

Check URL

Answer (Markdown)

Answer chars

Item types

Answer sections

Sources

Sources count

Cited domains

Search results

Search results count

Fan-out queries

Organic results

AI Overview loaded async

Products

Local results

Images count

Ads in answer

Answer links

Brand

Brand mentioned

Brand mentions

Brand position

Brand cited

Brand cited URLs

Brands named

Brands named source

Competitors named

Competitors cited

Share of voice

Brand sentiment

Sentiment label

Brand recommended

Sentiment confidence

Input tokens

Output tokens

How it works

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The ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview Actor is ready to run with the inputs already set for "ChatGPT and Gemini brand mention rate over 5 reads". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "ChatGPT and Gemini brand mention rate over 5 reads" task

The ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview Actor will start running based on the input automatically. You can also change all the input fields, like queries (prompts), engines, and more, to match your specific use case.

Receive the "ChatGPT and Gemini brand mention rate over 5 reads" 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 row type, query, engine, 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 "ChatGPT and Gemini brand mention rate over 5 reads" task via API.