Multi-Location AI Visibility

Location by location

A brand does not have one AI visibility. These pages are what actually varies between locations, why the brand average hides it, and what a report has to contain to be worth reading.

What varies, and why

Why two identical branches are described differently
Five things vary per location and none of them is the website.

What local corroboration is, and how it accumulates
The largest component, the slowest to build, and the one head office cannot produce.

Comparing locations in different markets
A location scoring lower than its sibling may be performing better.

Why a new branch is not a failing branch
The most common misdiagnosis in a first report, and what it costs.

The problems that hide

Entity confusion: when a system merges two of your locations
The most damaging finding and the least visible.

The retired address that never went away
The most common cause, the cheapest fix, and the one nobody owns.

What a franchise structure does to AI visibility
Four predictable problems the franchisor cannot fix by improving the main site.

The head office blind spot
Everything the centre controls is shared. Everything that varies is invisible from it.

Reading it properly

What a per-location report should contain
Six things, and a ranked list of scores is none of them.

What Multi-Location AI Visibility means