Class schedule, prices, equipment: which data the AI needs from your gym

Why the AI asks different questions than Google

Your customers have long stopped searching just for "gym Munich Schwabing". They ask ChatGPT, Gemini or the Google AI overview in whole sentences: "Is there a studio here with a sauna that's also open on Sundays?" or "Where can I train without a contract commitment and take a class in the morning before work?". These aren't keywords any more, they're concrete needs. And the AI only answers them if it knows the matching facts about your gym.

The difference is decisive: Google used to show a list of ten blue links, and the user clicked through. The AI, by contrast, gives a single, finished answer with one to three recommendations. Whoever isn't named there gets no second glance. For you as a studio operator that means: it's no longer enough to be findable somewhere. Your data has to be so precise that the AI can serve up your gym as an answer with a clear conscience.

The good part: AI models prefer structured, unambiguous information. A studio that cleanly documents its classes, prices and equipment has a real advantage over the competitor with the outdated Flash website. That's exactly what Generative Engine Optimization is about: feeding the AI the right, machine-readable facts.

The class schedule is your most important data object

No data set is as valuable for a gym and at the same time as often neglected as the class schedule. Many studios upload it as a PDF or show it as an image from a design tool. To the AI both are almost worthless: it can't read an image reliably, and a PDF only laboriously. When a user asks "When is the next yoga class?", the answer has to be in the text of your website, as a real time entry, with class name, time, weekday and instructor.

Concretely that means: every class needs a clear name ("Vinyasa Yoga", not just "Yoga"), a weekday, a start and end time, the level (beginner, advanced) and ideally the instructor's name. Whether registration is required and how many spots there are also helps the AI answer precisely. If you use a class booking system, check whether it outputs this data as a readable HTML calendar or via structured data (Schema.org, event markup).

A practical example: if someone asks "Which studio in Cologne offers HIIT classes in the evening after 7 pm?", the AI can only name your studio if it says somewhere in machine-readable form that you offer a HIIT class on Tuesdays and Thursdays at 7:30 pm. If that's only in a weekly-grid image, you stay invisible. The class schedule is thus not a decorative element but your most important data source.

Prices and contract models: honesty beats hiding

In the fitness industry it's a tradition to name prices only in a sales consultation. For AI visibility that's a massive problem. More and more people ask directly: "What does a month at the gym cost without a long contract commitment?" or "Is there a studio near me under 30 euros a month?". If your prices aren't anywhere, the AI can't recommend you for exactly these ready-to-buy queries.

You don't have to disclose every discount, but a transparent price structure helps enormously: name your main plans with monthly price, term (for example flexible monthly, 12 months, 24 months), sign-up fee and what's included (classes, sauna, drinks, coaching). Details like "student discount", "day pass for 15 euros" or "free trial session" are also valuable, because many users ask for exactly those.

A realistic case: a person moves to the city newly and asks the AI for a "studio with a fair monthly contract and wellness area for around 50 euros". Whoever documents these three facts – price, flexible term, wellness – clearly on their page gets recommended. Whoever only writes "prices on request" drops out of the answer, even though the offer might have fit perfectly.

Describe equipment the way people search for it

Your equipment is a central decision criterion, and users ask about it astonishingly concretely. "Which studio has a proper free-weights area?", "Is there a women's training zone here?", "Where do I find a studio with a functional area and a sled?". The AI can only answer such questions if you name your machines and areas explicitly, instead of just speaking generally of "state-of-the-art equipment".

Lists are your friend here. Describe concretely: strength area with brands like Hammer Strength or Technogym, cardio area with the number of treadmills and rowing ergometers, free-weights area with dumbbells up to 50 kilos, functional zone, sauna, steam bath, solarium, childcare, showers and changing rooms. Soft factors count too: barrier-free access, parking, free Wi-Fi or a training app. The more tangible, the better the AI can assign you to a concrete query.

Think in terms of needs, not feature lists. A young mother looks for childcare, a strength athlete looks for heavy dumbbells and a power rack, a returner looks for coaching and a manageable studio. If you make these target groups and their needs visible in your equipment description, you hit exactly the language in which people ask the AI.

Maintain opening hours, location and accessibility cleanly

Sounds banal, but it's one of the most common mistakes: outdated or contradictory opening hours. If your website shows different times than Google and a business directory, the AI becomes unsure and leaves you out when in doubt. With gyms especially, opening hours are a knockout criterion: "Which studio is open at 6 in the morning?" or "Where can I train on Sundays?" are extremely common queries.

So maintain your opening hours identically everywhere: on the website, in the Google Business Profile, in directories. If you're a 24-hour studio or have card-based access outside service times, write that explicitly, including the times when staff are on site. Holiday arrangements and differing school-break times belong here too, because users ask precisely in these moments.

The location involves more than the address. Name the district, nearby stops, parking options and prominent landmarks. If someone asks "gym near the main station with parking", the AI links these details directly. Consistent NAP data (name, address, phone) across all platforms is the foundation on which everything else builds.

Contradictory data is worse than missing data

An often underestimated problem: if your information differs in various places, that harms more than a gap. If the website says "24-month term", the flyer "12 months" and Instagram "cancellable flexibly", the AI doesn't know what's true and would rather choose a studio with clear details. Trust emerges from consistency, and AI models rate exactly this reliability.

This also concerns small things. A class that's still in the schedule on the website but hasn't taken place for months leads to wrong AI answers and disappointed visitors who then leave bad reviews. These reviews in turn are read and weighted by the AI. A single outdated data point can thus trigger a whole chain of negative signals.

So set yourself a fixed rhythm: once a quarter, go through class schedule, prices, instructor list and opening hours and update them everywhere at the same time. Best of all, keep a central source from which all channels are fed. This effort is manageable, but it decides whether the AI classifies you as reliable or unreliable.

Instructors, reviews and the human side

Fitness is a business of trust and relationships, and that's reflected in the questions asked of the AI: "Where is there good personal coaching for beginners?" or "Which studio has qualified instructors for rehab sports?". To appear here, you should make your team visible: names, qualifications, specialties like personal training, nutrition coaching, back school or competition preparation.

Reviews are an important data source for the AI too. It reads what people write about your studio and recognises patterns: is the cleanliness praised, the atmosphere, the advice? Encourage satisfied members to leave honest reviews and reply professionally to criticism. Recurring positive terms like "family-like", "great coaching" or "never overcrowded" are picked up by the AI and translated into recommendations.

Also tell your story in clear words: what does your studio stand for, which target group feels at home, what distinguishes you from the discounter around the corner? This positioning helps the AI assign you to the right query instead of throwing you into an interchangeable pot with everyone else.

How to proceed concretely: your data roadmap

Start with an honest review. Ask your own studio the questions your customers would ask the AI, and check whether the answers can be found as readable text on your website. Even type the typical queries into ChatGPT or Gemini yourself and see whether and how your studio shows up. That's the fastest way to spot your gaps.

Then work through the data fields systematically. The following sequence has proven itself and can be implemented in a few weeks without rebuilding the whole website.

• Provide the class schedule as real text or a structured calendar, not as an image or PDF, with name, time, level and instructor per class.
• List prices and terms transparently, including trial session and flexible options.
• Name equipment concretely, thought of in terms of needs: strength, cardio, functional, wellness, coaching, accessibility.
• Maintain opening hours and location data identically everywhere, including holidays and staff times.
• Add instructor profiles with qualifications and specialties.
• Actively promote reviews and answer them professionally.
• Check all details quarterly and eliminate contradictions between website, Google profile and social media.