📋 Overview
LLM Visibility in Search Atlas tracks how often your brand or website appears in AI-generated responses across large language models. Because this data requires significant backend processing, it updates on a monthly schedule rather than continuously like keyword data. This article explains how the update cycle works and what to expect.
🔄 How Often Does LLM Visibility Data Update?
LLM Visibility data updates once per month. This means the data you see reflects a snapshot from the previous month's processing run.
For example, if today is January 27th and the data displayed shows January 10–11, this is expected behavior. The next data refresh will occur at the start of the following month and will then appear in your dashboard shortly after.
⚙️ Who Controls the Update Schedule?
LLM Visibility updates are managed by the Search Atlas development team on a monthly basis, not by automated daily or weekly pipelines. This is intentional — querying large language models at scale requires careful coordination to ensure data accuracy and platform stability.
As a result:
- You cannot trigger a manual refresh of LLM Visibility data from within the platform.
- There are no settings or buttons to request an on-demand update.
- The data will update once the development team runs the next scheduled monthly refresh.
📊 How Is This Different from Keyword Data?
Keyword rank tracking and LLM Visibility operate on completely separate update cycles:
- Keyword data can be refreshed more frequently and is driven by automated crawling processes.
- LLM Visibility data is updated monthly by the development team due to the complexity of querying AI language models at scale.
This difference is by design. Do not expect LLM Visibility to reflect real-time or weekly changes the way keyword rankings might.
🗺️ Where to Find LLM Visibility in the Platform
LLM Visibility data is accessible within Search Atlas. Look for LLM Visibility or AI Visibility sections in your platform navigation. If you are unsure where to find the relevant section for your account, the support team can point you to the correct location.
✅ What You Should Do While Waiting for New Data
Since data refreshes monthly, here is how to make the most of the current data while waiting for the next update:
- Review trends over time: Monthly snapshots are still valuable for identifying directional trends in your brand's AI visibility. Compare month-over-month results rather than looking for daily changes.
- Document your current standings: Note which queries your brand currently appears in (or is absent from) so you have a clear baseline to compare against when new data arrives.
- Focus on content improvements: Use the current data to identify gaps in your brand's AI presence and make content or authority-building improvements in the meantime.
- Set expectations with your team: Communicate to stakeholders that LLM Visibility data is a monthly metric, not a real-time signal, so reporting cycles are aligned accordingly.
- Check back at the start of next month: New data is released on a monthly cycle, so plan your review cadence around the beginning of each calendar month.
If you are seeing data that appears significantly outdated beyond a full month, or if you have questions about your specific LLM Visibility readings, please reach out for support. When contacting support, have your project name and the date range currently shown in your LLM Visibility report ready so the team can investigate efficiently.
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.