PickScore AI visibility check العربية

How PickScore measures

Methodology versions p1 (free preview) and m1 (Full PickScore). Last updated: 21 September 2026.

PickScore checks how a local business appears when people ask an AI assistant. There are two separate things: a free AI presence preview, and a paid measurement called the Full PickScore. They use different questions and different evidence, and nothing measured for one is ever reused as evidence for the other.

The one thing to know first

PickScore measures whether an AI assistant named a business in its answer. It does not measure whether the assistant recommended, picked, preferred or ranked that business. An answer that mentions a business in passing, or even unfavourably, still counts as naming it. Every page that shows a result says so.

The free AI presence preview (methodology p1)

The preview is a lightweight presence check. It makes at most two requests to an AI assistant with live web search, and returns four signals in words. It never returns a number, a score, the name of another business, a source, a rank or an order.

What the preview cannot tell you

It does not measure how often AI names or recommends a business. One sample observation does not establish recommendation performance: being named once is not being recommended, and not being named once is not being ignored. A business gets one fresh preview every 30 days; inside that time the saved preview is shown again, with the date it was checked and the date the next free refresh is available.

The Full PickScore (methodology m1)

The paid measurement starts only after a payment has been verified. It does not use anything from the preview.

How fresh the evidence is

What PickScore does not measure

Review and delivery

Every paid report is read by a person before it is released. Reports are delivered at a private link within 24 hours of payment, not instantly. Report pages are private and are not meant to be indexed; the public sample is made from a real check with every business name removed.

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