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GPT Review

Make sense of large volumes of customer data in seconds — no data expertise required. The GPT Review feature summarizes complex search data so anyone can quickly understand consumer needs and intentions within a specific industry or topic.

ListeningMind visualizes search intent through Persona View and Cluster Finder, allowing you to see what customers truly want or worry about. However, when dealing with a large set of keywords, understanding the overall pattern can take time.

GPT Review complements this by automatically summarizing the data, highlighting key insights, consumer interests, and actionable hypotheses.

Click the GPT Review button at the top of the Cluster tab to view a summary analysis based on all clusters combined.

Includes:

  • Summary of major keywords

  • Search intent overview

  • Key consumer interests

  • Data-driven hypotheses

  • Suggested research directions for hypothesis validation

After selecting a specific cluster, click GPT Review to get a focused analysis for that group.

제공 내용:

Comprehensive Analysis

Major keyword and SERP (Search Results Page) overview

  1. Category Entry Point (CEP) analysis

  2. Marketing strategy recommendations and creative ideas

  3. Creative brief

Persona Analysis

To support more effective market research, GPT Review provides a list of real questions asked by key personas within your category.

Example:Persona 1: Office worker determined to lose weightAnalysis: A professional looking for practical diet methods that fit a busy lifestyle

Questions:

  • What’s an easy diet plan for busy office workers?

  • What healthy food can I eat conveniently?

  • How can I lose weight without exercise?

Insights

Provides actionable messages for advertising copy, landing pages, and other creative assets.

Examples:

  • Ad copy: “Lose 10 kg with a healthy meal plan!”

  • Title: “Start your sustainable diet today.”

  • Channel-specific samples: App push / SMS / Chatbot message templates

GPT Review content is automatically generated by AI and may contain minor inaccuracies. It is recommended to use this feature as a supporting tool for data interpretation.