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majesticlabs-dev

review-management

by majesticlabs-dev

18🍴 1📅 Jan 24, 2026

SKILL.md


name: review-management description: Optimize review scores and leverage user-generated content for AI visibility and brand trust.

Review Management

Frameworks for building review presence that influences AI recommendations.

Target Metrics

MetricMinimumTargetStrong
Score3.5/54.0/54.5+/5
Volume10+50+100+
Recency6 months3 months1 month
Response rate50%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

PromptPurpose
"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

TriggerTimingMessage
Onboarding completeDay 30"How's your experience so far?"
Feature adoptionAfter key feature use"How is [Feature] working for you?"
Milestone achievedAfter success"Would you share your results?"
RenewalAt 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 ElementAI Learning
Feature mentionsWhat product does
Use casesWho product is for
ComparisonsCompetitive positioning
OutcomesValue proposition
Industry contextTarget market

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

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

💬

Reviews coming soon