🧭 Overview
If your LLM Visibility chart shows data before your project's first scan, a long flat line, or a sudden drop with no recovery, you are likely seeing a combination of two things: a UI display artifact and the natural consequence of when your first scan ran. This article explains both so you can interpret your data with confidence.
📅 Why There Is No Data Before a Certain Date
LLM Visibility data is only generated when a scan runs. If your project was created weeks or months before its first scan was executed, there is simply no data for that earlier period — the platform has nothing to display because no scan occurred.
In the example that prompted this article, a project was created in early March but was not scanned until May 5. As a result:
- May 5 is the earliest real data point.
- No LLM Visibility data exists for March or April, because no scans ran during that time.
To find out when your project's first scan ran, review the scan history inside your project. Your earliest real data point is the date of that first completed scan.
📈 Why the Chart Shows Data Before the First Scan
This is a known UI interpolation artifact. When the dashboard has only one data point — or a limited number of data points at the start of a project — it visually extends that earliest value backwards across the chart timeline. The flat line you see before your first scan date is not fabricated data and it is not a measurement of zero visibility. It is simply the chart repeating the earliest known value to fill the empty space on the left side of the graph.
The same behavior can appear between scan dates: if scans were sparse, the chart carries the most recent known value forward visually until the next real scan result appears.
In short: any portion of the chart that appears as a flat horizontal line before your first scan date, or between widely spaced scans, reflects this display behavior — not an actual measurement from that time period.
📉 Why the Data Dropped Sharply and Did Not Recover
A sudden drop in your LLM Visibility chart — especially one that stays flat at a low value with no recovery — is most commonly explained by one of the following:
- The drop marks the end of the interpolated region. When a new real scan runs after a long gap, the chart transitions from the repeated early value to the actual scan result. If real visibility is lower than the interpolated value, this appears as a sharp decline.
- Scan frequency changed. If scans became less frequent or stopped temporarily, the chart may hold a low value flat until the next scan provides a new result.
- A genuine change in LLM visibility. Real drops in how often AI-powered search tools surface your brand are also possible and would appear the same way on the chart.
To distinguish a UI artifact from a real visibility change, check the dates of your actual scans. If the drop aligns with the first real scan after a long gap, it is likely the artifact transition point. If scans were running regularly before and after the drop, the change is likely real.
✅ How to Verify Your Real Data Points
- Open your LLM Visibility project from Left sidebar → AI Visibility.
- Review the scan history for your project to identify the dates on which real scans completed.
- Cross-reference those dates with the chart. Data that falls on a real scan date is a genuine measurement. Data that appears as a flat line before or between scan dates is the UI interpolation artifact.
- Focus your analysis on the period from your first real scan date onwards to ensure you are working with accurate information.
🛠️ What the Engineering Team Has Addressed
The Search Atlas engineering team has already shipped a fix to improve how the Visibility Score chart handles projects with a single data point, reducing the visual impact of this interpolation artifact. Additional improvements to the LLM Visibility frontend are also complete. If you are still seeing unexpected chart behavior after reviewing the scan history steps above, the issue may require further investigation.
💬 Still Have Questions?
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.