How to Track Your Brand in AI Answers

The new visibility metric is the share of brand mentions in AI answers. But unlike rankings in Google, you will not find it in any standard tool – AI answers are variable and personalized. To be able to improve them, you have to set up the measurement yourself. And the good news is that the basic methodology is simple.

Build a set of queries

Choose 20–30 questions your customers really ask – including comparative ones like “the best tool for…” and “how to solve…”. This set is your measurement sample; once you have it, measuring means repeating it regularly and recording the results.

What to record

• Whether AI mentions you and in what context (positively, neutrally, as one of the options).
• Whether it lists you as a source with a link, or only by name.
• Whether the description is accurate or contains errors – those need to be addressed as a priority.
• Which competitors AI mentions instead of you – it shows you where you have a gap.

Count on variability

AI answers are not as stable as search rankings – the same query may give a slightly different answer today and tomorrow. So do not fixate on a single fluctuation. Ask repeatedly, ideally in several “fresh” sessions, and look at the pattern, not the individual result.

Regularity and trend

Measure repeatedly and at the same rhythm (say monthly) and watch the trend over time. One measurement is a snapshot, a series of measurements is a story. A rising share of mentions is the best – and often the only tangible – proof that your AIEO effort is working.