How do people ask AI to pick a gym?
Fitness queries are comparison-shaped: best gym for beginners in Plano, is CrossFit worth it versus a regular gym, yoga studios with childcare, gyms with a pool under fifty dollars a month, 24-hour gyms near the airport. The engine compares — which means it needs comparable facts: prices, hours, amenities, class types, contract terms. Gyms that hide pricing force the engine to answer from aggregator lists and old Reddit threads; gyms that publish pricing shape the answer. Intent is high and local: the person asking is usually ready to visit within a week.
Google Business Profile, reviews and NAP consistency
GBP category precision matters: Gym, Fitness Center, CrossFit Gym, Yoga Studio, Pilates Studio — the category is how engines route best-yoga-studio queries. Attributes: 24-hour access, childcare, sauna, pool, classes. Keep the class schedule somewhere text-readable — on your site, linked from GBP — because engines answer schedule questions (does this gym have 6am classes) and cannot read a PDF image. Review texture decides fit answers: reviews mentioning welcoming to beginners, coaches who fix your form, always clean, never crowded at 6am are exactly the phrases quoted when someone asks whether a gym suits them. NAP is usually simple for single locations; franchises must keep location pages distinct and unmerged.
Local schema: LocalBusiness, Service and FAQ
Use ExerciseGym or the closest subtype (HealthClub) with openingHoursSpecification — including genuine 24-hour markup if staffed or key-fob access — plus amenityFeature for pool, sauna, childcare, and sameAs to class-booking profiles. Mark memberships and class packs with Offer or Service markup including price; engines assembling gym-cost answers quote structured prices preferentially. FAQPage on the questions prospects actually ask: is there a contract or month-to-month, what is the cancellation policy, do you offer a trial, is it beginner-friendly, when is it crowded.
Pricing pages: the forfeited advantage
The fitness industry norm — hide the price, force the tour — is a GEO own-goal. Pricing queries (gym membership cost in a city, is a hundred-dollar gym worth it) are answered from whoever publishes. Publish membership tiers, initiation fees, class-pack prices and cancellation terms plainly. You do not need to be cheapest; you need to be quotable. Pair pricing with per-audience pages — beginners, powerlifters, postpartum return-to-fitness, seniors — because fit queries are audience-shaped and the engine names the gym that explicitly addresses the asker.
The four-dimension measurement loop
Fix a monthly question set: five comparison queries, three pricing queries, two fit queries for your niche. Score Visibility, Citation Rate, Semantic Coverage and Brand Perception (0-100), screenshots archived. The most common finding: high Visibility, low Citation Rate — the engine mentions you from aggregator data but cites nothing of yours because pricing and schedule are not text-published. That is a two-week fix. Protocol: the measurement standard.
Pitfalls
- Hidden pricing. Cedes every cost query to aggregators and review-site roundups.
- Image schedules. Class timetables as graphics are invisible to retrieval.
- Franchise template pages. Identical location pages with swapped city names read as doorway content.
First-month checklist
- Pricing and cancellation terms published as text.
- ExerciseGym + Offer + FAQ schema live.
- Class schedule as crawlable text, linked from GBP.
- Two per-audience pages for your core member types.
- Review cadence encouraging community-and-cleanliness texture.