Measurement

How often should I check my AI visibility?

By Arnav Mukherjee, founder of TofuBofu · July 6, 2026

A founder messaged me, genuinely rattled. He had asked ChatGPT for the best providers in his niche, seen his company named third, and felt great. The next morning he asked again to show a colleague, and he was gone. Nothing on his site had changed overnight. He wanted to know what he had done wrong. The honest answer was: nothing. He had just watched non-determinism in action, and drawn exactly the wrong conclusion from it.

This is the trap at the center of the "how often should I check" question. AI answers wobble on their own. If you check too often, you measure the wobble instead of your actual standing, and you will make yourself miserable reacting to noise. The right cadence is built around that reality.

Why the answer moves when you did not touch anything

Three things make AI answers unstable, and none of them are about you. First, the models are non-deterministic: ask the same question twice and you can get two different answers, even with settings dialed to their most repeatable. Second, retrieval rotates: engines that pull live sources may grab slightly different pages each time, so the supporting cast in the answer shifts. Third, the models themselves get updated, sometimes quietly, and an update can reshuffle who gets named.

Put together, that means a day-to-day change in whether you appear is usually noise. It is the equivalent of judging your weight by stepping on the scale every hour. The number jumps around for reasons that have nothing to do with the trend, and if you react to each jump you will chase phantoms.

The right cadence: monthly, sampled, trend-based

For almost every B2B company, monthly is the sweet spot. AI citation patterns move more slowly than paid ad impressions but faster than organic search rankings, so a month is long enough for real change to show and short enough that you catch problems early. Inside each monthly check, sample: run every query at least three times per engine and average whether you appear. That smooths out the built-in wobble so you are comparing like with like from one month to the next.

Then judge the trend, not the dot. One month at 14 percent share of voice and the next at 12 is probably flat, within the noise. Three months running 9, 13, 17 is a real climb. The discipline is to make decisions from the line, and to treat any single reading as one data point rather than a verdict.

When to check sooner

Monthly is the baseline rhythm, not a rule against ever looking in between. There are three good reasons to run an extra check:

You shipped a fix. You added FAQ schema, rewrote a page answer-first, or earned a batch of reviews and mentions. A follow-up check confirms whether it landed. Give it a few weeks first, though, because engines need to re-crawl and recall lags.

A competitor moved. If a rival suddenly starts showing up everywhere, it is worth a look to see what changed and whether it pushed you down.

A model launched or updated. A major new model can reshuffle answers across a whole category. When one lands, a check tells you where you now stand. These are event-driven, not a reason to switch to daily monitoring.

What to do