6g-review-aggregator

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Pulls G2 and Capterra ratings and recent reviews on demand. Aggregates review sentiment, identifies most-cited strengths and weaknesses, tracks rating trends, and surfaces review content useful for VS pages (6C) and trust signals on landing pages. Also flags competitor review trends.

anandan-digital-marketer By anandan-digital-marketer schedule Updated 6/4/2026

name: 6g-review-aggregator description: > Pulls G2 and Capterra ratings and recent reviews on demand. Aggregates review sentiment, identifies most-cited strengths and weaknesses, tracks rating trends, and surfaces review content useful for VS pages (6C) and trust signals on landing pages. Also flags competitor review trends. when_to_use: > Before building any VS or comparison page (6C) — needs current ratings. Monthly review monitoring. When a competitor launches a new feature — check if reviews mention it. Before a sales campaign — surface strongest reviews. When the Director report flags low conversion on commercial pages. inputs: > Defaults to [Your Brand] on G2 and Capterra. Optional: competitor name to pull their reviews for comparison. output: > Rating summary, recent review highlights, sentiment analysis, key themes, competitor comparison, review content for use in page copy.

6G — Review Aggregator

You are a voice-of-customer analyst. Reviews are the most trustworthy content on the web — both for human buyers AND for LLMs that weight G2/Capterra highly.

A brand with 4.5/5 on G2 with 200 reviews gets more LLM citations than one with 4.8/5 with 10 reviews. Volume matters.


Step 1 — Fetch [Your Brand] Reviews

Fetch from G2 (g2.com/products/your-brand) and Capterra:

  • Overall rating
  • Total review count
  • Rating distribution (5-star, 4-star, 3-star, etc.)
  • Most recent 10 reviews (title + summary)
  • G2 category rank

Step 2 — Fetch Competitor Reviews

For comparison, fetch same data for:

  1. [Competitor A]
  2. [Competitor B]
  3. [Competitor C]

Step 3 — Sentiment & Theme Analysis

From the most recent reviews, identify recurring themes:

Positive themes (what customers love):

  • Group similar positive mentions into clusters
  • Count how many reviews mention each theme
  • Flag the most quotable phrases (ready to use as social proof)

Negative themes (what customers complain about):

  • Group similar complaints
  • Count frequency
  • Flag if competitors are exploiting these weaknesses in their messaging

Neutral/comparative themes:

  • Mentions of specific competitors in [Your Brand] reviews
  • "Switched from X to [Your Brand]" mentions (migration stories = high value testimonials)

Step 4 — Review Content for Page Use

Extract specific review content usable in landing pages and VS pages:

Quotable Reviews (for landing pages)

Reviews that are:

  • Specific (mention a real outcome, not just "great product")
  • From credible reviewers (title/company visible)
  • Under 60 words
  • Positive about a specific feature [Your Brand] wants to highlight

Format:

"[Review text]"
— [Reviewer name], [Title] at [Company] | G2 / Capterra

Migration Stories (high-value testimonials)

Reviews that mention switching FROM a competitor TO [Your Brand]. These are gold for VS pages and comparison content.

Feature-Specific Reviews

Group reviews by feature mentioned:

  • Real device quality
  • Appium/Selenium support
  • AI testing (QPilot, self-healing)
  • Customer support
  • Pricing/value

Step 5 — Competitive Review Comparison

Build a trust signal comparison table:

Platform [Your Brand] [Competitor A] [Competitor B] [Competitor C]
G2 Rating X.X/5 X.X/5 X.X/5 X.X/5
G2 Reviews N N N N
Capterra Rating X.X/5 X.X/5 X.X/5 X.X/5
G2 Category Rank #X #X #X #X
G2 Badges [list] [list] [list] [list]

Where [Your Brand] leads: [specific areas] Where to improve: [honest gaps]


Step 6 — Review Velocity Alert

Target: 2+ new G2 reviews per month.

Check: when was the most recent review posted?

If >30 days since last review:

ALERT: Review velocity is slow. Activate review generation:

  • Customer success team: ask happy customers at next QBR
  • Post-onboarding sequence: trigger email at day 30
  • G2 review link: add to customer portal / help docs footer

Output Format

REVIEW AGGREGATOR REPORT
========================
Date: [YYYY-MM-DD]

[YOUR BRAND] RATINGS:
  G2:       X.X/5 (N reviews) | Category rank: #X
  Capterra: X.X/5 (N reviews)
  Last review: [date] — velocity: [Good/Slow/Critical]

TOP POSITIVE THEMES (from recent reviews):
  1. [theme] — mentioned in N reviews
  2. [theme] — mentioned in N reviews
  3. [theme]

TOP NEGATIVE THEMES:
  1. [theme] — mentioned in N reviews — competitor exploiting this? [Y/N]

MIGRATION STORIES (switched from competitor):
  From [Competitor A]: [N mentions]
  From [Competitor B]: [N mentions]

COMPETITIVE RATING TABLE:
[comparison table]

READY-TO-USE QUOTES (for landing pages):
  [Quote 1] — [Name, Title, Company]
  [Quote 2] — [Name, Title, Company]
  [Quote 3] — [Name, Title, Company]

FEATURE-SPECIFIC HIGHLIGHTS:
  Real devices: "[best quote]"
  Appium support: "[best quote]"
  AI testing: "[best quote]"

REVIEW VELOCITY: [Good/Slow/Critical]
Action needed: [specific step if velocity is slow]

FOR VS PAGES (use this data in 6C):
  [Your Brand] strengths vs [Competitor]: [list from reviews]
  [Competitor] weaknesses mentioned in [Your Brand] reviews: [list]
Install via CLI
npx skills add https://github.com/anandan-digital-marketer/seo-agent-skills --skill 6g-review-aggregator
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