The Engagement dashboard helps you understand how users interact with Search AI. It provides visibility into search activity, answer effectiveness, user engagement trends, and response latency. Use this dashboard to analyze user engagement patterns, measure answer effectiveness and retrieval and response performance. To access the Engagement dashboard:Documentation Index
Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Navigate to Analytics.
- Under Search AI, select Engagement.

Key Engagement Metrics
| Metric | Description |
|---|---|
| Total Searches | Total number of searches performed during the selected period. |
| Result Rate | Percentage of searches that returned results. |
| AI Answer Rate | Percentage of AI searches that generated valid AI answers. |
| Avg. Retrieval Latency | Average time taken to retrieve search results. |
| Active Users | Number of unique users who performed searches. |
| Avg. Searches/Day | Average number of searches performed per day. |
| Avg. Searches/User | Average number of searches performed by each user. |
| Avg. Searches/Session | Average number of searches performed within a session. |
Search Trends
The Search Trends chart helps visualize search activity over time. The chart displays:- All searches.
- Searches with results.
- Searches with clicks.
Response Latency
The Response Latency section helps monitor search response performance. This section includes:- Average end-to-end latency
- Retrieval latency
- LLM response latency
- Identify slow response patterns.
- Monitor overall answer performance.
- Analyze retrieval and generation delays.
Retrieval Time Distribution
The Retrieval Time Distribution chart shows how searches are distributed across latency ranges. Use this chart to:- Understand typical retrieval performance.
- Identify slow-performing searches.
- Monitor latency consistency across requests.