Personas
In AI search tracking, a persona is a kind of customer you ask a question as, so you see the answer that person would get.
In AI search tracking, a persona is a description of a kind of customer, like a marketing manager at a mid-size company or a student on a budget. You ask your questions as that person, to see the answers they would get.
It matters because AI platforms tailor their answers to who seems to be asking. The same question from two different people can name different brands.
Why the same question gets different answers
When someone asks an AI platform for a recommendation, the words around the question carry clues: their job, their budget, the size of their company, what they care about. The platform uses those clues to pick what fits.
For example, "Which project management tool should we use?" asked by a solo freelancer might get simple, cheap tools. The same question from an operations lead at a 500-person company might get enterprise tools with permissions and reporting. If you only track the question one way, you only see half the picture.
How to choose personas
Start with the people who actually buy from you. Most businesses have two to four kinds of buyer worth tracking separately. For each one, note what makes their questions different: their role, their company, what they want and what worries them.
Avoid making a persona for every small variation. Each one multiplies the questions you track, and differences between very similar personas are hard to read.
Personas in AnswerOrbit
We call them audiences. An audience describes a kind of customer: their job title, seniority, company size, industry, age range, what they want and what bothers them. When you run a prompt as an audience, we ask it again as that person would, and you can compare their answers with everyone else's.
Each prompt run as an audience counts again toward your plan. Add audiences in your brand's Settings, then run prompts as them from Topics.