AI brand monitoring
AI brand monitoring is the regular collection of answers to chosen prompts in order to track how your brand, your competitors and their information sources appear. Repeated measurements help you tell a trend from a one-off answer.
What a measurement includes
A measurement is a set of prompts sent to selected AI services. Heuriso saves the text of each answer and the citations it can read, then analyzes which brands appear, in what position and how they are presented.
A missing Google AI Overview is a separate observation. It isn’t the same as a failed fetch, and it doesn’t mean AI doesn’t know your company.
How to read changes
Compare a similar set of prompts, engines and data range. An outage at one service or a small number of samples can change the picture.
An improvement after you complete a task is a signal worth checking, but timing alone doesn’t prove that this particular task caused the increase.
Why answer history matters
A single answer can be random, and an aggregate metric can hide differences between topics. History shows whether a problem keeps coming back and which part of your offer it affects. Before you commission a fix, look at several results for the same customer need. Pay attention to the recommended companies, the cited sources and the arguments AI uses. Those give you the context to act.
In Heuriso, current Visibility Score and Share of Voice use a window of up to the last five samples for each prompt and engine pair, none older than fourteen days. Five samples don’t have to mean five consecutive days. A new answer replaces only part of the data, so the metric can respond gradually. Interpret changes more cautiously when the history is short.
Keep a missing mention separate from a failed fetch. The first describes how AI behaves; the second, the quality of the measurement. Before you interpret a sudden drop, check that the full answers are available and that you’re comparing a similar number of successfully collected results.
Common mistake: crediting every change to your latest fix
At the same time, a competitor may have published new material, a chatbot may have changed its sources and some measurements may have failed. Record the date and scope of each change and the prompts it was meant to affect. Then compare exactly that scope over the following measurements. That gives you a better basis for judgment than watching the average for the whole brand.
Example
For several measurements, AI leaves your brand out of answers about migrating an online store. After you add that information to your website, you watch the same prompts and check whether the change holds in later answers.
Key takeaway
Monitoring is valuable because it is comparable and continuous. Several measurements on one day don’t replace observation over a longer period.
Sources and methodology
The five-sample window, the fourteen-day limit and the separation of measurements are specific to Heuriso. The Google documentation below explains how instructions and context affect an answer, not how we calculate our metrics.