Review Management System for Local Reputation and SEO
Implements an automated process for collecting, responding to, and managing reviews on Google and review platforms.
Increase the quantity and quality of the business's online reviews by strategically responding to positive and negative reviews to improve local ranking and digital reputation.
At a glance
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Prompt objective
Increase the quantity and quality of the business's online reviews by strategically responding to positive and negative reviews to improve local ranking and digital reputation.
Real use case
FitZone Gym, with 3 locations in Rio de Janeiro, has only 89 Google reviews (average 3.8) while competitor SmartFit in the same area has 450+ reviews (average 4.3). Research shows businesses with 4.0+ stars and 100+ reviews appear 2x more in the Local Pack.
Customize these fields first
Replace the placeholders with your own context before you run the prompt. That usually improves the first output more than adding more instructions later.
Prompt
Develop a complete review management system for [BUSINESS NAME], with [NUMBER] locations in [CITY(IES)], operating in the [INDUSTRY] sector. Current situation: [NUMBER] Google reviews, average rating [RATING], main competitor has [NUMBER] reviews with rating [RATING]. **Phase 1 — Reputation Audit:** - Review inventory across all platforms: - Google Business Profile: quantity, average rating, distribution (5★ to 1★) - Facebook: recommendations - Reclame Aqui: resolution rate, rating - Industry platforms: [LIST: TripAdvisor, Doctoralia, iFood, etc.] - Sentiment analysis: most praised and most criticized themes - Benchmark vs. top 3 local competitors **Phase 2 — Review Collection System:** **Post-service automation:** - Automated email/WhatsApp 24h after service: - Template: thank you + satisfaction question (1-10) - If rating ≥8: direct to Google Review (direct link) - If rating ≤7: direct to internal feedback form (resolve before it becomes a public review) - Short Google review link (generate via GBP) - QR Code for reviews (print and place at counter/table) **Ethical incentives (without violating Google policies):** - DO NOT offer discounts/gifts in exchange for reviews (prohibited) - YOU MAY: 'Your feedback helps us improve! Leave your review here: [LINK]' - Staff training: request reviews at the moment of customer satisfaction - Visual signage at the establishment **Phase 3 — Response Templates:** **5★ Reviews:** - 5 variations of thank you messages (personalize with name and mentioned detail) - Include local keyword naturally: 'Thank you for visiting our [TYPE] in [NEIGHBORHOOD]!' **4★ Reviews:** - Thank you + ask what could be improved **3★ Reviews:** - Thank you + acknowledge improvement area + corrective action **1-2★ Reviews:** - Apologize + move conversation to private (phone/email) - NEVER argue publicly - Recovery template: offer resolution + invitation for a new experience **Response Rules:** - Respond to 100% of reviews within 24h - Personalize EVERY response (never copy/paste) - Include customer name when available - Sign with real name of manager/owner **Phase 4 — Metrics and Goals:** - Monthly goal: +[NUMBER] new reviews per location - Rating goal: reach [RATING] in [NUMBER] months - Response rate: 100% (within 24h) - Weekly dashboard: new reviews, rolling average rating, recurring themes - Monthly meeting: trend analysis + operational improvement actions Deliver the templates, automation flow, and tracking dashboard.
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How to use this prompt
- 1Replace the key placeholders first: BUSINESS NAME, NUMBER, CITY(IES), INDUSTRY.
- 2Replace any bracketed placeholders like [this] with your own context.
- 3Add extra background information when you want more tailored results.
- 4Combine multiple prompts in one conversation when you need a richer output.
- 5Save your best-performing prompts so they are easy to reuse later.
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