Flarseo
When someone asks ChatGPT for a business like yours
A share of searches no longer goes through a list of links: it goes through an answer written by an assistant, which names two or three businesses and closes the matter. Flarseo works so that one of those names is yours, and shows you how often it actually happens.
Why an assistant cites one site and not another
There is no ranking to climb. There are three conditions, and all three can be worked on.
They have to find you
An assistant builds its answer from what it has read: public pages, indexed content, sources it consults at the moment of the question. If your business only exists on a social profile, or inside a site that never says what you do, there is no material to read. Public, readable content is the baseline.
They have to understand you
An assistant has to be able to state confidently who you are, what you do and where you operate. If the business name changes shape from one page to the next, if the address appears in three different versions and the services are described in jargon, the model has no clear entity to name. Clarity matters more here than volume of text.
They have to trust you
Between two businesses doing the same thing, the one that looks more solid gets cited: current content, claims backed by sources, consistency between what the site declares and what is found elsewhere. It is the same work traditional search rewards, applied to a different kind of reader.
Nobody controls an assistant's answers and nobody can guarantee you a citation. What can be done is working on the conditions that make it more likely, and measuring what happens.
Three concrete jobs, not a promise
Mentions detected
Flarseo queries the assistants regularly with the questions one of your customers would ask, and records whether you get named, how, and alongside whom.
- Questions written the way a customer would write them
- Repeated checks, not a one time snapshot
- Who gets cited instead of you on the same questions
Content machines can read
Generated pages and articles come out with structured data and a consistent heading hierarchy, so a machine understands what it is reading.
- Structured data on pages and articles
- One question per section, with the answer right below it
- Location and services written the same way across the site
Entity clarity
The least glamorous and most useful work: making it unambiguous who you are, what you offer and which area you serve.
- Name, address and services consistent everywhere
- Pages that explain the business without jargon
- Links between articles and service pages
Frequently asked questions about AI visibility
Find out whether an assistant already names you
The first measurement tells you where you are starting from. Fourteen days to try it, no lock-in.