Measure your visibility in AI search
Stead asks AI the questions your customers bring to it, separately in every country where you want to win customers. We built it that way on purpose: depending on language and location, AI draws on different sources and gives different answers. You track your brand mentions in AI chatbots, see which areas your competitors take, and whether AI knows your company and describes it correctly. For every area, Stead also shows how well your website performs, from "hardly" to "very well", and where you can improve your brand visibility.
How to get your company mentioned in AI answers
For every area where your company is missing, Stead suggests an action. Whether a new page works usually shows weeks after it goes live, and because AI answers differ every time, even then the result is uncertain. With Stead, you simulate every draft first and see right away how well it performs in AI search. A draft is all it takes, written by you or together with Stead's assistant. You publish only the version that works. And because Stead asks every question twice a day across three models, you'll also see sooner whether it holds up to what the simulation showed.
Numbers you can rely on
Stead asks every question twice a day across three models. That was a deliberate choice: AI answers the same question differently every time. In our measurements, two answers to the same question share only about a quarter of the companies they name. Twice the answers make your numbers more reliable and show the effect of a change sooner. That matters, because the market keeps moving: competitors take action of their own, new models come out. The sooner you see the effect, the more certain it is that it comes from your change.
Why AI recommends a competitor
Getting mentioned puts your company on the shortlist. Getting chosen means AI recommends you. That's why Stead finds out, in every area, who AI recommends and why, and which objections it has against your company. You see what convinces AI about your competitors and what picture it paints of you. Simulation takes you one step further: try changes as often as you like and see which ones influence AI recommendations in your favor.