Learning Timeline
Key Insights
Opportunity Signal
Look for niches with high 'Review Volume' but low 'Sentiment'. This indicates massive market demand where existing players are failing to provide satisfactory service.
Why Use Google Maps?
Google Maps is the ultimate source for 'Market Intelligence' because users search for local services there directly, rather than on ChatGPT. Review data provides a real-world reflection of 'Customer Demand'.
Prompts
AI Market Synthesis & Gap Analysis
Target:
ChatGPT / GPT-4 Node
Analyze the following business data and reviews: [Scraped Data].
1. Identify patterns across the top and bottom performers.
2. Highlight specific customer complaints that indicate a market gap (e.g., lack of after-hours service).
3. Recommend 3 high-potential niche business ideas for this location based on high review velocity but low average sentiment.
4. Provide a summary of the market leaders and their weaknesses.
Step by Step
Building a Local Market Analysis Workflow
- Input your list of business idea hypotheses and target locations into the 'Trigger' or 'Input' node in n8n.
- Connect to a Google Maps Scraper node to extract core business information, including Title, Domain, Address, and Contact Info.
- Enable the 'Scrape Reviews' function within the workflow to collect comprehensive customer review data.
- Use a 'Code' node to calculate 'Review Volume' (total count) and 'Review Velocity' (rate of new reviews) as market demand signals.
- Connect the review data to an AI node (OpenAI/GPT) to perform 'Sentiment Analysis' to understand customer emotions and satisfaction.
- Run a comparative analysis between the Top 10 and Bottom 10 industry players based on their service quality.
- Send all processed data to a 'Market Analyst' AI node to identify patterns and untapped niche opportunities.
- Output a final report listing high-potential business ideas based on the gap between high demand and poor service quality.
