A fair comparison
Keep the prompt set, geography, collection period and engine mix consistent across every brand in the view.
Put your brand’s visibility in context with a consistent view of the alternatives customers consider.
A competitor may appear often because your sample over-represents its strongest topic. Compare brands across the same questions and markets, then break the result down by intent. The aggregate is a starting point, not the whole story.
Look for useful patterns: where another brand is described more clearly, where an independent review is cited, and which customer needs have weak answers. Use that evidence to improve your own explanation, rather than imitate a competitor’s language.
Keep the prompt set, geography, collection period and engine mix consistent across every brand in the view.
Break visibility into the questions customers actually ask. A strong category average may hide an important gap.
Connect a difference in visibility to evidence worth reviewing. Record a hypothesis before making a change.
AI search visibility describes how often and in what context a brand appears in a defined set of AI-generated answers. A useful report shows the exact prompts, engines, time period, mentions and citations behind the score.
No. AI responses can change between runs, models, markets and users. The aim is to build useful content and credible evidence, then measure changes using a consistent sample. A visibility score is an observation, not a placement guarantee.
The interactive workspace on this website is a demonstration with fictional brands and illustrative data. It shows the intended Glinty experience; it does not query an AI engine or audit your website.