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review-intelligence-digest

Aggregate and analyze G2, Capterra, and Trustpilot reviews into a structured digest.

1.1k|200|Updated Mar 2, 2026
Search Tags:#messaging#marketing#review#competitor#trustpilot#g2#capterra
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill review-intelligence-digest-gooseworks-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-intelligence-digest
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/composites/review-intelligence-digest
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill review-intelligence-digest-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Scrape G2, Capterra, and Trustpilot reviews for your product and top competitors, then extract recurring themes, objections, proof points, and exact customer language to anchor marketing messaging.

Core Features & Use Cases

  • Ingest reviews across major platforms for your product and competitors.
  • Cluster feedback into proof points, pain language, objections, and competitive signals to guide copy and positioning.
  • Produce a digest on a weekly or monthly cadence for copywriting, positioning, and sales enablement.

Quick Start

Summarize the latest reviews from G2, Capterra, and Trustpilot for our product and two competitors to surface messaging-ready quotes.

Frequently Asked Questions about review-intelligence-digest

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

FAQPage Schema
How do I extract customer language and objections from G2, Capterra, and Trustpilot reviews?▼

To extract customer language and objections from G2, Capterra, and Trustpilot reviews, you can aggregate and analyze the feedback to surface recurring themes, pain points, and exact quotes for anchoring marketing messaging.

What is the best way to analyze competitor reviews for marketing positioning?▼

The best way to analyze competitor reviews for marketing positioning is to cluster the feedback into competitive signals, proof points, and pain language, which helps guide your copywriting and differentiate your product.

Can I use this Skill to generate a weekly messaging digest from product reviews?▼

Yes, you can produce a messaging digest on a weekly or monthly cadence by aggregating ingested reviews and categorizing them into proof points, objections, and pain language for copywriting and sales enablement.

Do I need to provide platform URLs and a time range to analyze Trustpilot and G2 reviews?▼

Yes, analyzing Trustpilot and G2 reviews requires you to input specific platform URLs and define a time range, as the process relies on upstream scraping within those parameters to fetch the relevant feedback.

How does categorizing reviews into proof points and pain language improve sales enablement?▼

Categorizing reviews into proof points and pain language improves sales enablement by structuring real customer language into targeted messaging assets, allowing teams to ground their copy and positioning in authentic feedback.

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