PAA Explorer

VVision

Problem: Content teams struggle to identify what questions their audience is actually asking.

Pattern: PAA questions reflect real user intent and change seasonally.

Hypothesis: Clustering PAA questions reveals content gaps and opportunities.

OObjective

Input: Seed keywords + target locales

Output: Clustered questions with trend data + insights

Success Metric: 95%+ clustering accuracy, 8-12 questions per keyword

IImplementation

Stack: Python + Playwright + OpenAI + scikit-learn

Process: Scrape → Embed → Cluster → Label → Export

Architecture: Async scraper → Embedding pipeline → K-means clustering

DDeep Dive

Results: 95% clustering accuracy, 2.5M+ questions analyzed

Key Finding: Seasonal patterns stronger than expected (23% drift)

Business Impact: Users report 15x faster content gap analysis

1. Scrape

Playwright extracts PAA questions from Google Search

2. Embed

OpenAI converts questions to semantic vectors

3. Cluster

K-means groups similar questions by intent

4. Export

Clean results with insights and methodology

Multi-Locale Support

Scrape PAA questions from 15+ locales with automatic rate limiting and proxy rotation.

Semantic Clustering

Group related questions using OpenAI embeddings and advanced clustering algorithms.

Trend Analysis

Track how question clusters evolve over time and detect seasonal patterns.

Export Formats

Export results to CSV, JSON, or directly to Google Sheets for easy integration.

Full Transparency

Complete methodology documentation, logging, and quality metrics included.

Extensible

Modular architecture allows custom scrapers, algorithms, and export formats.

🎯 Vision Template

Define your PAA exploration goals and hypotheses with our structured template.

• Problem definition framework
• Pattern identification guide
• Success criteria checklist

⚙️ Implementation Guide

Step-by-step setup and configuration guide with code examples.

• Environment setup checklist
• Configuration examples
• Best practices guide

📊 Analysis Template

Structured approach to analyzing PAA clusters and extracting insights.

• Cluster evaluation framework
• Trend analysis worksheet
• Content opportunity matrix

📈 Deep Dive Report

Complete methodology documentation and results presentation template.

• Executive summary template
• Methodology documentation
• Results visualization guide

• ✅ View methodology
• ✅ Read documentation
• ✅ See example results
• ❌ No data access
• ❌ No templates

• ✅ Everything from Visitor
• ✅ Example data access
• ✅ Basic templates
• ✅ Community access
• ❌ No live scraping

• ✅ Everything from Free
• ✅ Live PAA scraping
• ✅ Unlimited analyses
• ✅ Advanced templates
• ✅ Source code access