Respond to Every Google Review.
Without Burning Out.
FigureOut's Gemini-powered AI review reply generator crafts professional, contextual responses — matching your brand tone, embedding local keywords, and handling negative reviews with care.
How the AI Reply Engine Works
Step 1
Review Synced
FigureOut pulls new reviews from your GBP listing every 2–4 hours automatically.
Step 2
AI Analysis
Gemini reads the review context, star rating, keywords, and your brand tone settings.
Step 3
Draft Generated
A context-aware, brand-consistent reply is drafted in under 3 seconds.
Step 4
You Approve
Edit or approve with one click. Published directly to Google Maps.
Capabilities That Make a Difference
Not just templates. Contextual intelligence designed around local SEO and reputation management.
Local SEO Keywords Built In
Configure 3–5 local keywords (e.g., "best café in Jaipur"). The AI naturally weaves them into replies to strengthen GBP ranking signals.
Brand Tone Matching
Choose Friendly, Professional, Formal, or Enthusiastic. The AI never breaks character — every reply feels human and on-brand.
Negative Review Handling
For 1–2 star reviews, the AI switches to a de-escalation protocol — apologizing, acknowledging, and redirecting to your support channel.
Multi-Language Support
Replies auto-match the customer's language. If a review is written in Hindi, the reply draft is in Hindi — maintaining your local feel.
Auto-Publish Rules
Set rules to auto-publish replies to 4–5 star reviews without manual approval. Focus your time on sensitive cases only.
Response Rate Tracking
Track your review response rate over time. Studies show businesses with 90%+ response rates appear higher in local pack results.
See FigureOut in Action
Start Responding Faster.
Every unanswered review is a missed signal. Let AI handle the first draft in under 3 seconds.
Get Started FreeGBP specialist & founder of FigureOut. Building local SEO infrastructure for Indian SMEs since 2024.
Related Resources
FigureOut — GBP Management Software
AI reviews · Post scheduling · Multi-location · INR pricing