customer-review-aggregator

Aggregate and analyze customer reviews from platforms like G2 and Trustpilot.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/pmkshar/marqaiskills --skill customer-review-aggregator-pmkshar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-review-aggregator
Source: https://github.com/pmkshar/marqaiskills/tree/main/customer-review-aggregator
Command: npx skills add https://github.com/pmkshar/marqaiskills --skill customer-review-aggregator-pmkshar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps businesses aggregate and analyze customer reviews from various platforms, enabling you to gain valuable insights into customer feedback, sentiment, and competitive standing.

Core Features & Use Cases

  • Review Aggregation: Pull reviews from G2, Capterra, Trustpilot, App Store, and more.
  • Sentiment Analysis: Score overall sentiment and feature-level sentiment.
  • Pain Point Identification: Cluster negative feedback and rank by frequency.
  • Marketing Claims Extraction: Derive evidence-backed claims from positive reviews.
  • Competitor Comparison: Build side-by-side comparisons and surface weaknesses.
  • Feature Request Analysis: Rank requested features by mention count and urgency.
  • Use Case: A company uses this Skill to analyze its G2 reviews and competitor reviews to identify pain points and feature requests, leading to improved product development and marketing strategies.

Quick Start

Use the customer-review-aggregator skill to analyze customer reviews for your product from the last 90 days.

Frequently Asked Questions about customer-review-aggregator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I aggregate customer reviews from multiple platforms like G2 and Capterra?▼

To aggregate customer reviews from multiple platforms like G2 and Capterra, you need a tool that pulls structured data from these sources to centralize feedback for comprehensive sentiment and competitor analysis.

What is feature request analysis from customer feedback?▼

Feature request analysis from customer feedback is the process of ranking requested product features by mention count and urgency to prioritize product development and improve strategy.

How do I extract marketing claims from positive customer reviews?▼

To extract marketing claims from positive customer reviews, analyze the feedback to derive evidence-backed statements that highlight product strengths and customer satisfaction for campaign use.

Does sentiment analysis work with unstructured customer feedback data?▼

Sentiment analysis works with unstructured customer feedback data by requiring access to review platforms and structured data transformation to accurately score overall and feature-level sentiment.

What is the best way to identify pain points in customer reviews?▼

The best way to identify pain points in customer reviews is to cluster negative feedback and rank it by frequency, allowing you to isolate and address the most common product weaknesses.

Can I build competitor comparisons using customer sentiment data?▼

You can build competitor comparisons using customer sentiment data by creating side-by-side performance comparisons that surface competitor weaknesses and improve your own marketing insights.