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Review Sentiment Analyser

Example prompt: "Every Friday, search for new reviews of our product and our two main competitors on G2 and Trustpilot from the past week. Classify each review by sentiment and theme, then email me a summary of what people are praising and complaining about."

How to automate review sentiment tracking with GloriaMundo

The Problem

Customer reviews on sites like G2, Trustpilot, and app stores are a goldmine of unfiltered product feedback — both for your own product and your competitors'. But reading through dozens of reviews each week, spotting recurring themes, and comparing sentiment across competitors is slow and subjective. Most teams check reviews sporadically, if at all, and miss emerging patterns until they show up as churn or lost deals.

How GloriaMundo Solves It

We build a scheduled workflow that searches review platforms for recent reviews of your product and your competitors on a weekly cadence. Web search and URL extract steps pull the latest reviews from each platform. An LLM step classifies each review by sentiment (positive, neutral, negative) and tags it with recurring themes — for example, "onboarding difficulty," "pricing concerns," "feature gap," or "excellent support." A code step aggregates the theme counts and calculates sentiment scores per product. The final summary is emailed as a structured report, and the raw review data is logged to a Google Sheet for tracking shifts over time. Glass Box preview shows you the extracted reviews and the classification results before the report is sent.

Example Workflow Steps

  1. Trigger (scheduled): Runs every Friday morning.
  2. Step 1 (web_search): Search for new reviews of target products on G2 and Trustpilot from the past week.
  3. Step 2 (url_extract): Extract the full review text and rating from each result page.
  4. Step 3 (llm): Classify each review by sentiment and tag with recurring themes (pricing, UX, support, features, etc.).
  5. Step 4 (code): Aggregate sentiment scores and theme frequencies per product, calculate week-over-week changes.
  6. Step 5 (integration): Email the sentiment summary report with theme breakdowns and notable quotes.
  7. Step 6 (integration): Append the review data to a Google Sheet for historical trend tracking.

Integrations Used

  • Gmail — delivers the weekly sentiment report to the product or strategy team
  • Google Sheets — stores review data for longitudinal trend analysis and competitor comparison

Who This Is For

Product managers, competitive intelligence analysts, and founders who want to track how customers perceive their product relative to competitors — without manually trawling review sites each week. Especially useful for B2B SaaS companies where G2 reviews directly influence buyer decisions.

Time & Cost Saved

Manually reading and categorising reviews across 2-3 platforms for your product and 2 competitors takes roughly 2-3 hours per week. Dedicated review monitoring tools (like ReviewTrackers or Birdeye) cost £100-300/month and often require significant setup. This workflow delivers comparable insight automatically, with the flexibility to adjust platforms, competitors, and themes at any time. Over a quarter, that is 25-35 hours of manual work replaced.