AI visibility

What AI systems say about your brand

Customers increasingly do not search – they ask: which bank offers the most favourable loan, where the weekly shop is cheapest, which product is the best in its category. The answer comes from an AI assistant as a short recommendation with a few names. If you are not among them, the customer is not considering you at that moment.

Media Net measures the AI visibility of brands. The research shows whether AI systems recommend you, how they describe you and which sources they use to build their answers.

What we measure

Along with the findings, you receive recommendations on how to improve your AI visibility and direct your marketing budget more effectively.

How we measure

A single query gives an impression, not data. AI does not always give the same answer to the same question, and different systems read different sources. That is why we measure AI visibility as research:

Why Media Net

Research method. We have been conducting research for more than 30 years. We have applied this experience with sampling, repeatability and interpretation of results to measuring the visibility and reputation of brands in AI system answers.

Media expertise. AI builds a large part of its answers from media coverage. We have been analysing media content for more than 20 years, and together with Presscut, a member of the same group, we connect visibility in AI answers with daily media monitoring. That is why we know which sources are picked up and cited.

From findings to action. The result is not a table of figures, but a list of concrete, prioritised steps: which page to expand, what content to publish and which media to send it to.

AI influences customer choice. Brands cannot afford not to know what AI says about them.