Meet Trellis: Sprout’s new AI Agent

Trellis is designed to help your team work faster, smarter and with deeper insights. It empowers your team to leverage social intelligence to enhance the quality of your brand’s processes, products and services. You can ask questions to Trellis directly and receive direct, contextual answers rooted in social data. It can also surface insights without the need to sift through reports and configurations. Right now, Trellis works with Listening data to help you extract insights and recommendations.

See also: Trellis Best Practices, Trellis Fair Use Cap

Capabilities:

1. Data Discovery & Access

• Topic Management: Retrieve available social media listening topics with metadata (name, description, channels, keywords, availability dates)
• Multi-Platform Support: Trellis supports all networks supported by listening
• Access Control: Respects user permissions and group-based access policies
• Temporal Context: Understands current date/time for relative date queries ("yesterday", "last week")

2. Message Retrieval & Filtering

• Advanced Filtering: Retrieve messages by topic, keyword, date range (YYYY-MM-DD format)
• Flexible Sorting: Sort by multiple metrics (likes, shares, replies, impressions, engagement_total, dislikes)
• Scalable Results: Handle 1-1000 messages per query (production limit: 250)
• Sorting Options: Both ascending and descending order support

3. Data Visualization 

• Sentiment Analysis: Both summary views and time-series trends
• Engagement Metrics: Trends over time for engagement data
• Impression Analytics: Time-series views of reach metrics
• Topic Volume: Tracking message volume/frequency over time
• Network Breakdown: Cross-platform comparative analysis
• Comprehensive Overviews: Topic summaries 

4. AI-Powered Analysis

• Summarization: Process up to 1,000 messages with key themes, topics, and supporting examples 
• Strategic Insights: Extract patterns and provide actionable recommendations
• Theme Identification: Discover trending topics and conversation themes
• Competitive Intelligence: Analyze market conversations and competitor mentions

5. Personality & Communication Style

• Intelligent Collaborator: Witty, confident, optimistic, and intentional communication
• Professional Tone: Inclusive language, avoids bias and stereotypes
• Proactive Approach: Leads with discoveries rather than just capabilities
• Data-Driven: Only reports on metrics directly available in the data

6. User Experience Features

• Graceful Error Handling: Provides alternatives when requests aren't possible
• Progressive Disclosure: Shows summaries for large datasets, offers drill-down options