Gemini AI + Replora AI

Google’s language intelligence, applied to your customers.

Replora uses Google Gemini, accessed through Vertex AI, as the language layer across the platform: review replies, phone conversations, complaint classification, and business insights. Only task-relevant content is sent to the model, and your data never trains models for other businesses.

Why this integration exists

Every Replora product depends on understanding and producing natural language — a review reply that sounds human, a phone conversation that flows, a complaint pattern spotted across a thousand transcripts. Gemini provides that intelligence with enterprise-grade data handling.

What it does

  • Context-aware review reply generation in 40+ languages
  • Natural voice conversations for the AI Receptionist
  • Complaint classification and severity scoring
  • Cross-channel pattern analysis for action cards
  • Conversational business coaching over your own data

How the workflow runs

1
Content in
Review text, call context, or feedback — only what the task needs.
2
Gemini processes
Replies drafted, conversations held, patterns detected.
3
Human checkpoints
Routing rules and approval queues gate what publishes automatically.
4
Data stays yours
No credentials sent; your data never trains models for other businesses.

Benefits

Replies that reference what customers actually said
One intelligence layer across all four products
Multilingual by default
Enterprise data-handling standards

Used by these products

AI ReceptionistReview BoosterAI ResponderAI Business Insights
Read the technical documentation →
More integrations:
Google Business ProfileGoogle CalendarTwilioWhatsApp
Start free →