Class schedule, prices, equipment: the data an AI needs to recommend your gym

Why AI answer engines ask different questions than Google

Your members stopped typing "gym near me" a while ago. Now they ask ChatGPT, Gemini or the Google AI overview full sentences: "Is there a studio near me with a sauna that's open on Sundays?" or "Where can I train without signing a contract and fit in a class before work?" These aren't keywords anymore — they're specific needs. The AI can only answer with your studio if it actually holds the matching facts about you.

The difference matters. Google used to hand back ten blue links and let you click around. An AI answer engine gives one finished answer with a small handful of recommendations, and the sources it pulls from often aren't the same pages that rank on Google — one analysis found the large majority of links cited by ChatGPT don't even appear in Google's top 100 results for the same query. If you're not named in that answer, there's no second page to fall back to. Being findable "somewhere" isn't enough anymore — your data has to be precise enough that the AI can confidently serve your gym as the answer.

Here's the upside: AI models favor structured, unambiguous information. A studio that documents its classes, prices, and equipment cleanly has a real edge over the competitor still running an outdated site with a class schedule buried in a flyer graphic. That's what Generative Engine Optimization is about — getting the right facts in front of the model in a form it can actually use.

The class schedule is your most important data object

No dataset matters more to a gym, and none gets neglected more often, than the class schedule. Many studios publish it as a PDF or as an image exported from a design tool. To an AI, both are close to worthless — it can't reliably read an image, and it only extracts a PDF's contents with difficulty. When someone asks "When's the next yoga class?", the answer needs to live in your website's actual text, as a real schedule entry: class name, time, day of the week, instructor.

Concretely, that means every class needs a specific name ("Vinyasa Yoga," not just "Yoga"), a day, a start and end time, a level (beginner, advanced), and ideally the instructor's name. Whether booking is required and how many spots are available also helps the AI answer precisely. If you run a class-booking platform, check whether it publishes this as a readable HTML schedule or as structured data (Schema.org, using Event markup).

A practical example: if someone asks "Which studio in Cologne has HIIT classes after 7pm?", the AI can only name your studio if it can find, somewhere in machine-readable form, that you run a HIIT class on Tuesdays and Thursdays at 7:30pm. If that detail only lives inside a weekly-grid image, you stay invisible. The class schedule isn't decoration — it's your most important source of data.

Prices and contract models: honesty beats hiding

The fitness industry has a habit of only naming prices in a sales conversation. For AI visibility that's a real liability. More people are asking directly: "What does a gym membership cost without a long contract?" or "Is there a studio near me under a certain price per month?" If your prices aren't published anywhere, the AI has nothing to recommend you with on exactly these ready-to-buy questions.

You don't need to publish every discount, but a transparent price structure helps enormously: list your main plans with the monthly price, the term (month-to-month, 12-month, 24-month), any sign-up fee, and what's included — classes, sauna, drinks, coaching. Details like a student rate, a day pass price, or a free trial session are also worth stating, because people ask for exactly those.

A realistic scenario: someone new to the city asks the AI for "a studio with a flexible monthly contract and a wellness area, around fifty euros." Whoever states those three facts — price, flexible term, wellness — clearly on their page gets recommended. Whoever only writes "prices on request" drops out of the answer, even if their offer would have been a perfect fit.

Describe equipment the way people search for it

Your equipment is a real decision factor, and people ask about it in surprisingly specific terms: "Which studio has a proper free-weights area?", "Is there a women's training zone here?", "Where's a studio with a functional area and a sled?" The AI can only answer questions like these if you name your machines and areas explicitly, instead of describing everything as "state-of-the-art equipment."

Lists work well here. Be concrete: a strength area with brands like Hammer Strength or Technogym, a cardio area with the number of treadmills and rowing ergometers, a free-weights area with dumbbells up to a stated weight, a functional zone, sauna, steam room, tanning, childcare, showers, and changing rooms. Soft factors count too — step-free access, parking, free Wi-Fi, or a training app. The more concrete the description, the more precisely the AI can match you to a specific query.

Think in terms of needs, not a feature list. A parent is looking for childcare, a strength athlete is looking for heavy dumbbells and a power rack, someone returning to training is looking for coaching and a manageable studio. Describe your equipment around these groups and their needs, and you'll naturally end up using the language people actually type into the AI.

Maintain opening hours, location and accessibility cleanly

It sounds trivial, but it's one of the most common mistakes: outdated or conflicting opening hours. If your website lists different times than Google or a directory, the AI can't be confident and will leave you out rather than guess. For gyms especially, hours are a make-or-break detail — "Which studio is open at 6am?" or "Where can I train on Sundays?" are extremely common questions.

So keep your hours identical everywhere: on your site, your Google Business Profile, and in directories. If you're a 24-hour studio, or have card access outside staffed hours, say so explicitly, including when staff are actually on site. Holiday hours and differing school-break schedules belong here too, because that's exactly when people ask.

Location is more than an address. Name the neighborhood, nearby transit stops, parking options, and recognizable landmarks. If someone asks "gym near the train station with parking," the AI connects those details directly. Consistent name, address, and phone number across every platform is the foundation everything else builds on.

Contradictory data is worse than missing data

This is an easy problem to underestimate: when your information differs across places, that does more damage than a gap would. If your website says "24-month term," your flyer says "12 months," and Instagram says "cancel anytime," the AI has no way to know which is true — and it will choose a studio with clear, consistent details instead. Trust comes from consistency, and AI models weigh that reliability directly.

It applies to small things too. A class that's still listed on your schedule but hasn't run in months leads to wrong AI answers and disappointed visitors, who then leave bad reviews — and those reviews get read and weighted by the AI in turn. A single outdated detail can set off a whole chain of negative signals.

Set yourself a fixed cadence: once a quarter, go through your class schedule, prices, instructor list, and hours, and update all of them everywhere at the same time. Better still, keep one central source that feeds every channel. The effort is small, but it's what decides whether the AI treats you as reliable or not.

Instructors, reviews and the human side

Fitness is a trust business, and that shows up in what people ask the AI: "Where's good personal coaching for beginners?" or "Which studio has qualified instructors for rehab training?" To show up here, make your team visible — names, qualifications, and specialties like personal training, nutrition coaching, back care, or competition prep.

Reviews are an important data source for the AI too. It reads what people say about your studio and picks up on patterns: is the cleanliness praised, the atmosphere, the coaching? Encourage happy members to leave honest reviews, and respond professionally to criticism. Recurring phrases like "feels like family," "great coaching," or "never overcrowded" get picked up by the AI and folded into its recommendations.

Tell your story in plain language too: what does your studio stand for, which kind of member feels at home there, what sets you apart from the discount chain down the road? That positioning helps the AI match you to the right query instead of lumping you in with every other studio in town.

How to proceed concretely: your data roadmap

Start with an honest audit. Ask your own studio the questions your members would ask the AI, and check whether the answers exist as readable text on your site. Type the typical questions into ChatGPT or Gemini yourself and see whether — and how — your studio shows up. That's the fastest way to find your gaps.

Then work through the data fields in order. The following sequence has held up well and can be done in a few weeks, without rebuilding the whole website.

• Publish the class schedule as real text or a structured calendar, not an image or PDF — name, time, level, and instructor for every class.
• List prices and contract terms transparently, including any trial session and flexible options.
• Describe equipment concretely, organized by need: strength, cardio, functional, wellness, coaching, accessibility.
• Keep hours and location details identical everywhere, including holidays and staffed hours.
• Add instructor profiles with qualifications and specialties.
• Actively ask for reviews, and respond to them professionally.
• Check everything quarterly and resolve any conflicts between your website, Google profile, and social media.