What counts as a good AI Presence Score — and how to read your measurement

You take the questions a real customer would ask, run them across several models, and count in how many answers you appear. That percentage is the score.

Because models don't give the same answer every time, a single test tells you nothing. What matters is the pattern across enough questions and models.

It's the normal starting point for the vast majority of businesses, especially outside the very large brands. It simply means the models don't have enough signals to connect you with your category.

The useful takeaway isn't “I'm at zero”, it's “who appears in my place, and why”.

Consistent presence at 20-30% on your core questions is already a strong position for a small or mid-sized business — it means one in four relevant questions puts your name in front of the customer.

100% is neither realistic nor a sensible goal: answers hold few names and vary with phrasing.

The score is the last thing to move, because it depends on models refreshing. What moves first are the signals: pages that answer real questions, structured data, reviews, third-party mentions.

If those are improving and the score is flat for a month, the work is on track — it just hasn't surfaced yet.

• Look first at which questions you're missing — that's where the work is.
• See which competitors appear in your place, and what they have that you don't.
• Check whether what AI says about you is accurate.
• Compare with last month as a trend, not as a grade.