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PythonReactSEOPDF
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review-management

Optimize review scores and leverage user-generated content for AI visibility and brand trust.

majesticlabs-dev☆ 20 Étoiles du dépôt3 Forks du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

Voir la source ↗Guides

Instructions

Review Management

Frameworks for building review presence that influences AI recommendations.

Target Metrics

Metric Minimum Target Strong
Score 3.5/5 4.0/5 4.5+/5
Volume 10+ 50+ 100+
Recency 6 months 3 months 1 month
Response rate 50% 75% 90%+

Platform Priority

B2B Software
  1. G2 (highest AI weight)
  2. Capterra
  3. TrustRadius
  4. Gartner Peer Insights
B2C / E-commerce
  1. Google Business Profile
  2. TrustPilot
  3. Yelp
  4. Amazon (if applicable)
Local Businesses
  1. Google Business Profile
  2. Yelp
  3. Industry-specific directories
  4. Facebook

Feature-Rich Reviews

AI heavily weights UGC that teaches WHAT products do.

Review Prompts That Work
Prompt Purpose
"Which specific feature helped you most?" Feature mentions
"What problem did [Product] solve?" Use case context
"How does it compare to alternatives?" Competitive context
"What results have you seen?" Outcome data
Strong vs Weak Reviews
Weak (Low AI Value) Strong (High AI Value)
"Great product!" "The automated lead scoring saved us 10 hours/week"
"Highly recommend" "Switched from Salesforce because [specific reason]"
"5 stars" "The [Feature] feature helped us [specific outcome]"

Review Request Strategy

Timing
Trigger Timing Message
Onboarding complete Day 30 "How's your experience so far?"
Feature adoption After key feature use "How is [Feature] working for you?"
Milestone achieved After success "Would you share your results?"
Renewal At renewal "Help others find us"
Request Template
Hi [Name],

Congrats on [specific achievement with product]!

Would you share your experience on [Platform]? Specifically:
- What problem did [Product] solve for you?
- Which feature has been most valuable?
- What results have you seen?

Here's the direct link: [URL]

Takes 3 minutes and helps teams like yours find us.

Thanks,
[Your name]

Response Strategy

Positive Reviews
  • Thank specifically for details mentioned
  • Reinforce key triplets naturally
  • Mention upcoming features if relevant
Negative Reviews
  • Respond within 24 hours
  • Acknowledge the issue
  • Offer resolution path
  • Follow up after resolution
Response Template (Negative)
Hi [Name],

Thank you for sharing this feedback. I'm sorry [specific issue]
impacted your experience.

[Specific action taken or offered]

If you'd like to discuss further, please reach out to [contact].
We're committed to [relevant triplet about quality/service].

[Name], [Title]

Score Recovery

If score is below 3.5:

  1. Analyze - Identify themes in negative reviews
  2. Fix - Address root causes
  3. Reach out - Contact unhappy reviewers with fixes
  4. Request updates - Ask for updated reviews
  5. Dilute - Actively request from happy customers

AI Citation Impact

Review Element AI Learning
Feature mentions What product does
Use cases Who product is for
Comparisons Competitive positioning
Outcomes Value proposition
Industry context Target market

Reviews teach AI about your product. Volume + quality = citation likelihood.

Exemples

Consultez les exemples du dépôt source.

Voir la source ↗

Historique source

Date d’indexation
2026-01-20
Mise à jour de l’index
2026-02-04
Branch
main

Les dates concernent ce répertoire. Consultez le dépôt pour l’historique du code.

GitHub ↗

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