AI visibility for gyms: named for the right class, on the right terms

What does being named mean for a gym?

It means your name is in the answer to a question your gym could have answered. Our methodology records whether you were named and whether you were named first, with a note of every other business named beside you. The share of the twelve questions that name you is the visibility score, from 0 to 100, and with one answer per question it is also your mention rate for the panel.

For a gym the verdict needs its context. Someone who asked for a reformer class and got your name for your free-weights floor has not been answered. Someone told you are month to month when you sell [n]-month memberships has been answered wrongly, and finds out at the desk. So a gym's reading keeps two things beside each verdict: what the answer named you for, and every term it stated about you.

The facts a gym's pages have to carry for either to come out right are listed on the gyms and fitness studios overview. This article is about finding out whether the answers use them.

The parts of a question about where to train

A question about a gym is a short brief. Four parts recur, and sometimes a fifth:

• The class or the floor: spin, yoga, pilates, strength, boxing-style conditioning, or a floor with enough squat racks.
• The terms: no contract, month to month, a day pass, a free first class, a price per month, no joining fee.
• The time: before work, open at five, around the clock, Sunday morning, late on a weeknight.
• The place: a neighborhood, a station, near the office, somewhere with parking.
• Sometimes the person: women-only hours, a first-timer, a parent who needs the childcare room, someone back from an injury.

A question with no conditions, the best gym in the city, is a contest of reputation across every gym in town. The panel spends its lines on questions with conditions, because those are the ones a gym's own facts can settle, and where a single studio can be the exact fit.

A twelve-line panel for a gym, as a template

Our paying clients' panels run to twelve questions, each a prompt written the way a buyer types it. This one is a starting point: put your own place, classes and competitor into the brackets, and change the wording to what your front desk hears on the phone.

Weight the panel toward people who have not heard of you. The two lines with your own name in them test what is said about you, not whether a stranger hears it. Leave out questions about exercise itself, such as how often to train or which class burns more. Their answer is advice rather than a gym, and a panel holds only questions whose answer could be your name.

Wording the lines so next month compares with this one

Write the place and the hour into every line. "Near me" means wherever the phone happens to be, and "before work" is a different hour for everyone, while "in [neighborhood]" and "before 7am on a weekday" mean the same thing in March as in October. Keep the terms in your callers' words and keep them fixed: "no contract" and "month to month" are two lines, and trading one for the other halfway through the year breaks the series.

A gym may be tempted to add lines for the new-year rush. A line either stays all year or stays out, because a question asked for three months cannot show a trend. How to keep the panel file and what to record for each run is in setting up prompt monitoring; how many runs make a reading, and how to tell a real change from noise, is in how to measure AI visibility.

Reading the terms an answer gives about your gym

Copy the words each answer attaches to your name, as written: "open 24 hours", "good for beginners", "small reformer classes". Read across several months, that column shows what the answers describe you as, and whether it is the thing you want to be chosen for. If it is not, that is a decision about which page to write, which a page for each offering takes up.

Then check every term the answer states against your own prices page: the contract length, the trial, the day pass, the monthly price, the hours. Mark each right, wrong or out of date. Terms go wrong in ways of their own: a promotion that ended, a price from before the last rise, a national offer from a franchise that your location never ran. Where the answer shows its sources, write down which page the wrong term came from; when AI gets facts about your business wrong covers tracing and fixing one.

Reading the first month, pattern by pattern

The only naming figure we publish comes from the probe beside our audit of 9,483 small business websites, run in September 2026: Claude, with web retrieval on, was asked one buyer question for each of 9,240 businesses and named 14.9% of them. Where it answered with a clearly differentiated list rather than a hedge, 5,928 times, the figure was 17.7%. All 40 trades are in it and each business was asked once, so it is a direction and Claude's alone, not a rate for gyms. A first reading that names your gym for only a few lines is a starting point, not a verdict.

Each row is a page to change and a line to watch. Change one thing at a time where you can, so the next reading has one likely cause, and date each change in the panel file. Across the panel, your mentions as a share of every name given is your share of voice, and the other names are the gyms you are measured against. The first reading is your baseline; everything after it is read against that.