LLM Visibility#

Track how your brand appears in AI-generated answers over time. Use this to establish a baseline, measure progress, and prioritize visibility work.

What you can interact with#

• Provider selection: switch between supported AI platforms to compare results.
• Time range: change the date range to understand short-term vs long-term changes.
• Brand scope: if you track multiple brands, choose which brand’s visibility you’re viewing.

What the data represents#

• Visibility score: a high-level indicator of how strongly your brand is represented in AI-generated answers for your selected scope (brand, market/region, language).
• Trend direction: whether the latest results are improving, declining, or stable compared to recent history.
• Time series: a timeline of scores so you can correlate changes to events (site updates, press, product launches).

How we get this data#

We analyze brand-related questions on supported AI platforms and summarize how your brand is presented. We keep results organized by your selected settings (such as language and market/region) so you can compare like with like.

How to use it (step-by-step)#

1. Choose the brand and settings you care about (market/region, language).
2. Review the latest score and the trend direction.
3. Open prior points in the timeline to see when changes started.
4. Use Brand Audit to identify what to fix (missing official pages, weak references, outdated messaging).
5. Re-check weekly after publishing improvements.

Common mistakes#

• Comparing different settings (e.g., different markets or languages) and assuming the results are equal.
• Refreshing too frequently; visibility is best interpreted as a trend.