AI visibility tracking

AI visibility is the share of usable answers that name your brand. In Aivting it appears as Visibility, with its count next to it: "12 of 40 answers name your brand" is a visibility of 30%. A brand named twice in one answer still counts once.

Alongside it you get average position: the order in which your brand is first named among the brands you track. Position 1 means you came before every tracked competitor. The average is shown once at least 3 answers name you, so one lucky answer can't set the number. See how visibility is calculated and how average position works.

A rate without its sample size is a guess. Ask an AI engine the same question twice and you can get two different answers, naming different brands in a different order. So one answer is an anecdote, and 1 of 3 answers and 10 of 30 are both 33% while saying very different things.

Aivting shows the number of usable answers (n) under each figure. Answers that failed, came back empty or were blocked by a spend limit are counted separately and never as "not mentioned". If n is 0, no rate is shown at all. Read more in sample size (n).

Each engine is a separate product, and Aivting reports it on its own. Every plan collects ChatGPT, Google AI Overviews and Google AI Mode. Agency Pro adds Gemini and Perplexity. Filter by engine before you compare anything, because a brand can be named often in one engine and rarely in another.

Every figure links back to what the engine actually wrote. Click a day on the chart, then open the answers from that day. The answer view shows the exact prompt sent, the full reply with your brand and each competitor highlighted, the engine, the time of collection (UTC) and the sources cited.

That is what makes a drop explainable. If your visibility falls, you can open the answers and see whether a competitor took your place, the engine cited different sources, or the prompt started returning another kind of answer. Runs and answers explains the detail.

A run collects answers to your active prompts when you start it. The chart plots one point per day, so you can watch a metric over a week or a month and pin a short note to a day, for example "moved the comparison pages to new URLs". A note helps you read a change next to its likely cause. It doesn't prove the cause.