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.