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Perplexity and ChatGPT brand sentiment and recommendation

How Perplexity and ChatGPT speak of Peloton in 3 questions (worth it, alternatives, the best smart bike): one row per question and engine with the whole answer, its sources, the brand fields against NordicTrack, Echelon and Bowflex, and the judge's brand_sentiment (-1 to 1), its label, brand_recommended (yes, no or unclear) and its confidence. The judge is an add-on, charged per row with a value.

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ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overview
ChatGPT Scraper: Perplexity, Gemini, AI Mode & AI Overviewhyperbach/ai-search-answers
Row type
Query
Engine
Engine name
+50 fields
Text
Number
Boolean
List
Object

Input

Queries (prompts):is a peloton bike worth it+2
Engines:perplexity+1
Brand to track:Peloton
Brand domain:onepeloton.com
Competitors:NordicTrack+2
Competitor domains:nordictrack.com+2
Judge the sentiment toward the brand (add-on):true

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 "Perplexity and ChatGPT brand sentiment and recommendation". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Perplexity and ChatGPT brand sentiment and recommendation" 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 "Perplexity and ChatGPT brand sentiment and recommendation" 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 "Perplexity and ChatGPT brand sentiment and recommendation" task via API.

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