Use Brand Radar to analyze mentions that one or more brands, products or entities gets in AI Overviews, ChatGPT, web pages and more. Track how often they are mentioned, the domains that get cited, and the context of surrounding these mentions.

Brand Radar is available for Lite plan and higher subscribers. Certain data sources require the purchase of additional add-ons.

We currently support the following data sources:

See how often keywords that mention your brand are searched in Google over time. This is useful to see the trends of more than one keyword combined into entities and plotted on a graph. Data comes from our Keywords index

See how often new/updated web pages mention your brand over time. This mode also supports the advanced search operators that are possible with Content Explorer. Data comes from our Content index, powered by our crawler: Ahrefsbot.

See how often AI Overviews in Google search mention your brand over time. Data comes from the AI Overviews that show up in SERPs when keywords in our database are searched in Google.

See how ChatGPT's responses mention your brand . Data comes from entering in keywords in our database into ChatGPT and then recording the responses.

Data is currently being updated once a month, but we're working to update this more often.

See how ChatGPT's responses mention your brand . Data comes from entering in keywords in our database into ChatGPT and then recording the responses.

Data for AI data sources✨ is currently being updated once a month, but we're working to update this more often. You can suggest or vote for new data sources on our Canny board

Select between all locations, or any location that allows Google search engine to operate. You can use this to compare brand mentions between different locations / markets.

Select Full dataset to search the entire data source you selected earlier.

Or, you can select Filter dataset to narrow the scope to contain (or omit) mentions of specific words. Different data sources will have different options to filter this dataset. You can stack multiple rules to get the specific dataset to focus on.

This becomes your Market scope which gets plotted in the line chart below:

Here, you can enter in brands, products or services as entities. With each entity you enter in this field, Brand radar will look for mentions of it. This then gets plotted as its own dataset in the line chart below:

All mentions of the entities that you enter in creates a combined dataset called Competitive scope, which also gets plotted in the line chart below:

Different data sources allow different ways of viewing the data plotted on the chart. For example, AI data sources have the option to view mentions of Entities over time.

Whereas the Domains view shows an aggregate of all links from AI Overviews by their parent domain names.

For Domains, the line chart will show different domains depending on which page is selected:

¹Comparing against Market scope is useful to see how well a brand or entity stands out against other results that don't mention any of the entities you entered in.

You can toggle different entities to better see the trend / gap between the selected entities:

The date selector allows you to view all metrics for all entities for a specific date.

You can directly see the individual AI Overviews or Web pages and see how entities are mentioned, and their surrounding context.

Similar to adding rules to the Market scope, you can also stack multiple rules to drill down to specific results that interest you:

Note that the filter here only affects this results table, and not the line chart above.

For example, in AI Overviews, you can sort by Relevance and Search volume. If sorted by relevance, AI Overviews that contain a higher number of any of the entities entered, will be shown closer to the top.

AI data sources often (but not always) cite URLs in their responses. Use the Domains filter to filter for responses that include or exclude specific URLs:

Once a month. You can select a specific date from the chart graph to see the data collected from that month. We currently don't have a way to compare responses from different dates (yet).

Responses data don't take into account any sort of personalization between users. No previous stored data about any user is stored before we generate and store responses.

More data sources will be supported over time, prioritized based on demand. You can vote for specific data sources to get supported faster from our canny board.