Description
Cluster and analyze customer reviews at scale with this AI-powered n8n workflow. Using Qdrant and Python, this template reveals deep insights from Trustpilot reviews—grouped by similarity and automatically summarized by an LLM.
Perfect for marketers, product teams, and brand analysts who want to extract key themes, pain points, and praise from large volumes of customer feedback.
🧠 How It Works:
✅ 🌐 Trustpilot reviews are scraped using the HTTP Request node for a specific brand ✅ 📦 Reviews are stored in a Qdrant vector collection, with embeddings and metadata attached ✅ 🧮 The reviews are clustered by similarity using a custom Python Code node ✅ 🔁 Each cluster is looped over, fetching grouped reviews from Qdrant ✅ 🧠 The AI agent summarizes each group and highlights key insights ✅ 📊 Final summaries and raw data are saved to Google Sheets for further analysis
🔍 It Automates:
✅ Collecting and vectorizing public customer reviews ✅ Storing embeddings in Qdrant with rich metadata ✅ Grouping reviews into insight-ready clusters ✅ AI-powered summarization of each cluster’s themes ✅ Exporting to Google Sheets for reporting or presentation
💡 Why Choose This Workflow:
✅ Saves days of manual review analysis work ✅ Uncovers patterns in both praise and complaints ✅ Works across your own or competitors' customer reviews ✅ Fully automates the insight generation pipeline ✅ Simple to plug-and-play with Trustpilot or other review platforms
👤 Who Is This For:
✅ Brand and marketing teams tracking sentiment ✅ Competitive researchers comparing market perception ✅ Product managers analyzing customer pain points ✅ Founders and CX teams wanting direct customer feedback ✅ Anyone working with text-heavy review data
🔗 Integrations:
✅ Qdrant (vector storage and similarity search) ✅ OpenAI (for embeddings and summarization) ✅ Python (for custom clustering logic) ✅ Google Sheets (for output and collaboration)
📈 Let Your Customers Speak — and Let AI Summarize What They’re Saying Import this n8n workflow, plug in your review source, and uncover actionable insights in minutes—not weeks.
Link : [ https://lovable.dev/projects/649f0929-325c-49e1-ad0b-b242340a4287 ]
