Use case

Get cited when buyers ask AI

Buyers ask an assistant who to work with and get three names back. If yours is not one of them, the shortlist closed before you knew it existed.

The problem
What is actually happening

Our category comes up in ChatGPT, but our name never does

Most sites are written for people who already found you and for search engines that rank links. An answer engine does neither. It reads a page, decides whether the claims can be trusted, and names a handful of companies. A brand that is unreadable, unclear, or unverifiable at that moment is not ranked lower. It is left out of the sentence entirely.

How we fix it
The work

What the engagement involves

  • Test the real questions your buyers ask, across ChatGPT, Perplexity, Claude, and Google AI Overviews, and record who gets named instead of you.
  • Restructure the pages that should carry the answer so a model can extract a claim, its scope, and its evidence without guessing.
  • Add the trust signals a model looks for before it repeats a claim about a regulated or high-consideration purchase.
  • Re-test on a fixed cadence, so a change in citations can be traced to a change you made.
OUTCOME You can see which questions you are named on, which you are absent from, and what moved after each release.
Answer Engine Optimization

Find out where you stand

When a buyer asks an assistant who to work with, it names two or three companies and moves on. The audit puts the questions your buyers actually ask to all five AI platforms, scores you on the five things a model weighs before it cites anyone, and shows you which competitor is named in your place. You get the gap and the order to close it in, five business days from briefing.