The AI Visibility (formerly LLM Visibility) module received two targeted fixes that improve data display reliability — ensuring charts render meaningfully even with limited data and that missing values never appear as blank or broken fields.



## ✨ What's New

Two updates shipped to the AI Visibility (formerly LLM Visibility) module:

- **Null value fallback:** Fields that previously displayed nothing when a numeric value was missing now show a proper fallback indicator, keeping the interface clean and easy to read.
- **Single-data-point chart treatment:** The Visibility tab chart now handles scenarios where only one data point is available. Previously, a single entry could render incorrectly or produce an unreadable chart; it now displays in a clear, purpose-built format suited for limited data.

## 🛠️ How to Use It

1. Log in to your Search Atlas account and navigate to **AI Visibility (formerly LLM Visibility)**.
2. Open the **Visibility** tab to view your chart.
3. If only one data point exists for a tracked entity, the chart will now render it in a readable single-point format automatically.
4. Review any metric fields — values that were previously null will now display a clear fallback instead of a blank space.

## 📋 What to Expect

- These are automatic improvements — no configuration or action is required on your part.
- The null fallback applies to numeric fields across AI Visibility (formerly LLM Visibility) displays where data may not yet be available.
- The single-data-point treatment is specific to the Visibility tab chart and activates only when exactly one data point is present for a given tracked item.
- All existing multi-point chart behavior remains unchanged.

If you need further assistance, open the chat widget in the bottom-right corner of the platform and type **human teammate** to be connected with a member of our team.