Review reply rateThe percentage of received reviews that have a public owner response. Google uses this as a local ranking signal; AI engines use it as an engagement and authority proxy.Voice modelAn AI configuration trained on your specific copy, tone and style so that generated text sounds like you rather than a generic template.Sentiment classificationAutomatic labeling of a review as positive, neutral, negative or escalation, used to route the reply through the correct strategy and approval workflow.De-escalation frameworkA structured reply approach for negative reviews: acknowledge the issue, empathize without admitting liability, and move the conversation offline to resolve it.Local packThe block of three Google Maps listings that appears on local searches. Reply rate and review recency are among its ranking factors.Review schema (schema.org/Review)Structured data markup that surfaces review stars in Google search results and makes your ratings readable by AI engines and scrapers.Human-approval queueThe workflow step where a negative or sensitive review reply is held for a team member to approve before it posts publicly.GEO (Generative Engine Optimization)Optimizing so AI engines cite your business in their answers. Replied reviews and high review velocity are direct inputs to the GEO authority model.