Get More Specific Quotes and Counts From Review Analysis
Use this when the initial review analysis output feels too vague or general — for example, when reviews were short on detail or the AI returned broad summaries instead of specific findings.
The Prompt
Can you be more specific? Pull direct quotes for each theme and give me exact counts.
From the guide
Using AI to analyze your own customer reviews across Google and Facebook and spot the patterns you keep missing →Related Prompts
Find the Single Most Important Review Insight to Act On
Use this when the analysis output feels overwhelming or contains too many themes to act on. It forces the AI to prioritize and return a single, focused recommendation.
Check If a Specific Pattern Appears in Customer Reviews
Use this when you suspect the AI missed a pattern you already knew about. It prompts the AI to re-examine the pasted reviews through a specific lens you provide.
Turn Review Patterns Into Actionable Improvements
Run this as a follow-up after the initial review analysis. It converts the pattern breakdown into a prioritized action list of concrete operational improvements.
Analyze Customer Reviews for Recurring Patterns
Use this prompt after pasting all your collected Google and Facebook reviews into the chat. This is your broad scan to identify recurring themes, complaints, competitor mentions, and seasonal patterns across all reviews at once.