Product Review Sentiment Analysis with Sentiment Analysis API - Automated Reporting Workflow

Overview

This automated workflow provides an executive-level synthesized analysis of competitor product reviews. It efficiently scrapes a large volume of unstructured customer feedback, processes it through an advanced AI model for holistic synthesis, and compiles a single, structured report in a Google Sheet. This process eliminates manual review reading, providing clear, actionable competitive intelligence.

How It Works

1. Extracts Raw Reviews: Pulls the full text of recent customer reviews from a designated competitor product page using the Web Scrape Node.

2. Analyzes and Synthesizes: Sends the entire collected body of reviews to the Ask AI Node (LLM) for holistic analysis, generating a concise summary, an overall sentiment score, and identifying the top pain points.

3. Reports Strategy: Organizes the synthesized strategic insights (Summary, Top Pain Points, Competitors Mentioned) and exports them as a single structured row into your Google Sheet for long-term tracking and reporting.

Use Cases

• Executive Intelligence: Providing C-level leadership with a quick, weekly briefing on a major competitor’s market standing.

• Product Strategy: Identifying emerging, high-priority user pain points and feature gaps in competitor products.

• Competitive Analysis: Quantifying the holistic customer sentiment toward a rival to inform sales enablement and marketing messaging.

Setup Requirements

• Google Docs: Requires a connected Google account with permissions to create new docs.

• Google Sheets: Requires a connected Google account with permissions to edit the designated output spreadsheet.