ReviewReader (ChatGPT Plugin): Difference between revisions

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|Platform = ChatGPT
|Platform = ChatGPT
|Model = GPT-4
|Model = GPT-4
|Category = SEO
|Category = Shopping
|Description = Input a product name or link for an instant AI summary of Amazon reviews.
|Description = Input a product name or link for an instant AI summary of Amazon reviews.
|Third Party =  
|Third Party =  
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|Price =  
|Price =  
|Available = Yes
|Available = Yes
|Working = Yes
}}
}}
==Guide==
==Guide==
===Example Prompts===
===Example Prompts===
Example prompts that utilize the plugin:
Example prompts that utilize the plugin:
#Summarize the main features mentioned in customer reviews for this product: {product_url}.
#Search for common complaints in Amazon reviews for this product: {product_url}.
#Filter the top three rated {product_category} on Amazon by customer satisfaction.
#Analyze Amazon reviews to find the most talked-about features of this product: {product_url}.
#Compile the top five Amazon customer experiences for this product: {product_url}.
#Find the most upvoted customer reviews for {product_name} on Amazon.
#Discover the top three {product_category} for specific use-case "{use_case}" based on Amazon customer reviews.
#Gather the overall sentiment of customer reviews for this product: {product_url}.
#Identify the reasons why customers give five stars to this product: {product_url}.
#Investigate recurring issues reported by customers in Amazon reviews for this product: {product_url}.


==Tips and Tricks==
==Tips and Tricks==

Latest revision as of 01:01, 24 June 2023

ReviewReader (ChatGPT Plugin)
ReviewReader.jpg
Information
Name ReviewReader
Platform ChatGPT
Model GPT-4
Category Shopping
Description Input a product name or link for an instant AI summary of Amazon reviews.
Release Date June 11, 2023
Available Yes
Working Yes

ReviewReader is a Plugin for ChatGPT.

Guide

Example Prompts

Example prompts that utilize the plugin:

  1. Summarize the main features mentioned in customer reviews for this product: {product_url}.
  2. Search for common complaints in Amazon reviews for this product: {product_url}.
  3. Filter the top three rated {product_category} on Amazon by customer satisfaction.
  4. Analyze Amazon reviews to find the most talked-about features of this product: {product_url}.
  5. Compile the top five Amazon customer experiences for this product: {product_url}.
  6. Find the most upvoted customer reviews for {product_name} on Amazon.
  7. Discover the top three {product_category} for specific use-case "{use_case}" based on Amazon customer reviews.
  8. Gather the overall sentiment of customer reviews for this product: {product_url}.
  9. Identify the reasons why customers give five stars to this product: {product_url}.
  10. Investigate recurring issues reported by customers in Amazon reviews for this product: {product_url}.

Tips and Tricks

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