There is a method to getting cited. This is ours

When a buyer asks ChatGPT or Perplexity who to consider in your category, the engine pulls from sources it trusts and assembles an answer. Whether your brand is in that answer is not luck. It comes down to how your content is structured, which sources cite you, and how clearly the engines understand what you do. We work each of those deliberately.

First, we find out where you stand.

We map the questions your buyers ask AI when they research your category, then run them across ChatGPT, Perplexity, Gemini, and Google AI Overviews. You see which answers you appear in, which ones name a competitor instead, and which sources each engine is pulling from to build its response.

OnAdvert Sample Output
Sample audit output
Buyer query
“Best contract management software for a mid-sized legal team”
Engines run
ChatGPT Perplexity Gemini Google AI Overviews
Brands cited
Competitor A
Competitor B
Competitor C
Your brand Not mentioned
Sources pulled
G2 category listing
Two industry publications
A competitor comparison post
Run across dozens of high intent queries, this becomes a map of every answer you are missing and the specific reason you are missing it.
Then we build the position.

Closing a gap means fixing what caused it: content the engines cannot read clearly, questions your pages do not answer, or too few trusted sources pointing to you. We set the strategy for each, direct the work that gets it done, and hold the standard on accuracy and quality throughout.

Then we track what actually connects your pipeline.

You get reporting built around a buyer’s decision, not a traffic chart. We track whether you are showing up in AI answers for the queries that matter, how you compare to your competitors, and where that position is moving over time. Every number connects to one question: when a buyer researches your category, are you in the consideration set.

If you want to see which AI answers your competitors are winning and you are missing, that’s where we start.