---
name: review-management
description: "Build cross-platform review presence, improve response rates, and strengthen AI recommendation signals."
---

# 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.