When AI models answer questions about your industry, they don't just list brand names. They talk about specific topics like sentiment analysis, real-time alerts, competitor benchmarking, or reporting features. Topics Analysis shows you exactly which contexts dominate in AI responses and how often your brand appears within each one.

You can find the Topics Analysis table at the bottom of the Context tab.

Topic is the name of the context or theme identified in AI responses.

Description explains what that topic covers.

Occurrences shows how many times that topic appeared across all AI responses to your project's prompts.

Topic Share (%) shows what percentage of all topic mentions this particular topic accounts for. The higher the number, the more dominant that context is in AI conversations about your industry.

Brand Mentioned shows how many times your tracked brand was mentioned within that topic. A green number means your brand is present in those conversations. "No" means your brand was not mentioned in that context at all, which can signal a gap worth addressing.

Brand share by topic (%) shows what percentage of mentions within that specific topic included your brand. This helps you understand not just whether your brand appears, but how strongly it's associated with that particular context compared to competitors.

Topics Analysis helps you see beyond rankings and into the narrative. You might rank well overall, but if AI models never associate your brand with a high-occurrence topic like "Competitor Benchmarking" or "Trend Detection," that's a blind spot. On the other hand, a high Brand share by topic on a dominant topic means AI models strongly connect your brand to that context, which is exactly what you want.

As with other views in the Context tab, you can filter by a specific AI model using the dropdown in the top right corner.

For more on how AI models describe your brand, see our article on Sentiment Over Time and Narrative Drivers. If you have any questions, don't hesitate to contact us.