Retail Enterprise AgentsMarketing & Retail Media DomainGemini Enterprise
📊 Marketing: Brand Health & Social Sentiment
Answers questions about Net Brand Sentiment Score (NBSS), social listening Share of Voice (SOV) vs competitors, topic sentiment drivers across social platforms, customer brand advocacy, and public sentiment recovery. Orchestrates two sub-agents: **Data Insights**, which queries BigQuery via the Conversational Analytics API and BigQuery built-in forecasting/contribution/anomaly-detection tools, and **Market Context**, which answers external questions via Google Search grounding.
Duration5:45 (Normal Pacing)
Resolution1080p Full HD (1920×1080)
UI Scaling1.25x High-DPI Scaled Text
Model Runtimegemini-3.5-flash (Vertex AI)
📋 Multi-Turn Conversation Flow
Turn 1 (Data Insights / BigQuery):"What is our current Net Brand Sentiment Score (NBSS) and Brand NPS trend over the past 4 months?" — Synthesizes internal BigQuery conversational analytics query and computes KPI summary.
Turn 2 (Market Context / Google Search):"What are current industry benchmarks for retail brand social sentiment and Share of Voice tracking?" — Grounds analysis against external retail benchmarks and industry context.
Turn 3 (Visual Artifact / Matplotlib):"Render a bar chart comparing our monthly Net Brand Sentiment Score and Brand NPS index." — Generates and renders a custom chart visualization artifact inline.
Turn 4 (Executive Canvas Presentation):"Create a 4-slide executive presentation summarizing the Brand Health & Social Sentiment analysis and recommendations above." — Automatically creates a 4-slide deck and showcases each slide via the bottom thumbnail rail.