What is a good AI pick rate?

By the Pickgap team · Updated Oct 15, 2026 · 2 min read

There's no universal good number; it depends on your category, your city and how many strong competitors you have. The useful comparison is with the business AI names most for your questions: the distance between you is your gap. A pick rate is also only meaningful with its sample size and noise range, so you can tell a real change from chance.

Why there's no single benchmark

In a small town with three plumbers, the leader might be named in 80% of answers. In a big city with hundreds of dentists, even the best-known practice might be named in 30%. A 15% pick rate is weak in the first case and decent in the second.

Compare with the leader

The most useful comparison is with the business AI names most often for the same questions, in the same place:

Harbor Family Dental is picked in 64% of answers. You're at 12%. Your gap is 52 points.

That gap is concrete: it tells you how far you are from being the default choice, and it shrinks as your fixes work.

Read the noise range

A pick rate from a small sample is uncertain. 3 of 10 answers is 30%, but the true rate could easily be 10% or 50%. 75 of 250 answers is also 30%, with a much tighter range. Always look at:

• The sample: how many answers the rate is based on.
• The noise range: the band your rate would likely fall in if the test were repeated.

Pickgap reports every pick rate this way, for example "12% ±4 · 30 of 250 answers". See how we measure.

Look per surface

Your overall rate can hide big differences. You might be named in 40% of Google AI Mode answers and 2% of ChatGPT's. The weak surface tells you where to work: ChatGPT and Perplexity lean on third-party sites; Google's surfaces lean on your Google profile.

What to aim for

Aim to close the gap to the leader on the surfaces and question types that matter most to your business, and to see your rate rise beyond the noise range between tests.