We will test AURALIS against you and 5 other competing brands on the exact same set of prompts. You will get a scorecard which shows your relative performance to the competing brands, and for each prompt also the individual answers which made your brand better (or worse) than the others.
When a buyer searches for the best alternatives to X or compares Y vs. Z in natural language, AURALIS AI can quickly generate a few paragraphs of content that list 2-4 brands per paragraph. The problem is until your brand is listed in one of the paragraphs and you find out why you lost that deal, it is lost forever without knowing the reason. AURALIS competitor benchmarking shows you who is listed in relevant paragraphs for your brand, how frequently they are listed and what they did to achieve that.
You see a score for each of their answers across Visibility, Citation Share, Sentiment and Position in the answer. A week by week timeline of how they are doing against you. A drill down into the losing prompts and the winning prompts. Each row of the table links to the full answer for the corresponding call.
From there, you can use that intelligence to close the gap between your competitor's citations and map out all of the specific citations that your competitor holds across review sites, press, and forums. Surface the gaps in your footprint and using the Content Engine, you have a fix list for the next sprint of content.
Yes. The default report is five but the Scale tier allows up to twenty.
Both. We initially floor at the mention count to calculate the AuraScore. Then we weight by sentiment and answer position.