As the number of users asking ChatGPT for software recommendations before ever coming to G2 has grown, we take a peek inside AURALIS to see how any AI describes your product, your category and your competitors. And what you can do about it if the answer is not to your liking.
All this software shortlisting is now happening within language models. I entered "best CRM for 50 people" into Perplexity and was presented with 4 short pitches from 4 different software products, one line per product. Unless your product is one of the 4 lines of output then all those never seen deal cycles are gone for good. AURALIS is intended to plug this particular gap.
The tool does Daily prompt sweeps on every relevant buyer question relating to the product, citation share against top 5 competitors, sentiment per AI engine, slot position on comparison queries, drift alerts on when another competitor steals a citation and content engine that produces the right press, blog, and forum content to close the gap.
The average AuraScore change for a SaaS company over a 30 day period is 8-15 points. These moves are typically driven by a number of factors including improved FAQ schema on the top product pages, 3-5 strategic citations in the relevant review sites, and 1 quality thought leadership article that gets included in the comparison answer.
Other SEO tools track Google Rank but fail to follow the threads of conversations that are carried out within AI tools like Claude, ChatGPT, Gemini, and Perplexity. AURALIS however can provide citation, sentiment, and verbatim AI answers that typical SEO tools cannot.
Webhook-level integration is available on Scale plan. Native bi-directional sync is coming in next quarter.
DevRel teams use AURALIS to track how AI engines describe their documentation, code samples and their SDKs.