Why Is My Gym Not Showing Up in AI Recommendations?

The shift: from “gyms near me” to “ask the AI”

The fitness industry has always been intensely local. People choose gyms based on proximity, price, class schedules, and what their friends recommend. But the starting point of that journey has moved online — and it’s now moving again, from Google to AI chatbots.

80% of new gym members research online before joining, according to IHRSA’s 2025 Global Report. Google data shows that searches for “gyms near me” have increased over 300% in the past decade, and “best gym for beginners” has seen a similar surge. ClubIntel’s 2024 Fitness Industry Trends Report found that 64% of fitness consumers visit a facility’s website or social profiles before their first visit, and among Gen Z members, that figure rises to 78%.

That online-first behavior is now colliding with the AI chatbot wave.

Gartner forecast in February 2024 that traditional search engine volume will drop 25% by 2026 due to AI chatbots and virtual agents. ChatGPT surpassed 5.8 billion monthly visits by mid-2025, making it one of the top 10 most-visited sites on the planet. Perplexity AI grew to over 100 million monthly visits by Q4 2024. Pew Research Center found that 23% of US adults had used ChatGPT by early 2024 — a figure that rises to 43% among adults aged 18–29, the demographic most likely to join a gym.

The queries are changing too. Instead of typing “gyms near me” into Google and getting a map pack of local results, someone asks ChatGPT: “What’s the best gym for weight loss?” or “Compare CrossFit vs. OrangeTheory for a beginner” or “Help me find a good yoga studio in Austin.” The AI responds with a narrative answer — mentioning specific brands — and the person follows that recommendation without ever seeing your studio in a search result.

The traditional funnel — Google search → map pack → website click → free trial booking — is being bypassed entirely. And the fitness industry, which is already one of the most competitive local service categories, is particularly exposed to this shift.

McKinsey’s 2024 consumer survey found that fitness and wellness is among the top 5 categories where consumers use AI for purchase research, alongside travel, electronics, dining, and fashion. The fitness-interested demographic skews younger, more tech-savvy, and more likely to default to AI for answers. If you run a gym, studio, or wellness business, your future members are already asking AI where to go — and AI isn’t mentioning you.

Who AI actually recommends for fitness

We tested it. Across hundreds of queries to ChatGPT, Perplexity, Gemini, Claude, and Grok, using consumer-intent prompts like “What are the best gyms?” “Best fitness studio for beginners,” “Compare gym memberships,” and “What gym should I join?” — the same names appear over and over:

* Based on Metricus internal testing across ChatGPT, Perplexity, Gemini, Claude, and Grok using 200+ consumer-intent fitness queries (2026). Rates reflect how often a brand is explicitly named or recommended in AI-generated responses.

The pattern is unmistakable. Planet Fitness — publicly traded (NYSE: PLNT), with $1.07 billion in annual revenue (2024 annual report) and more media coverage than any gym brand on Earth — dominates AI responses. Equinox, with only ~110 US locations but outsized luxury lifestyle media presence, appears in nearly as many responses. OrangeTheory and CrossFit benefit from massive franchise networks and fitness community discussion volume. Peloton, despite its well-documented business struggles, maintains enormous AI visibility thanks to years of intense media coverage and millions of social media mentions.

Independent gyms and studios, which make up approximately 60–65% of all fitness facilities in the US (IBISWorld, 2024), are almost never mentioned. Nor are most regional chains, independent yoga studios, Pilates reformer studios, martial arts gyms, or specialized training facilities.

This isn’t a bug. It’s how these systems work. And for an industry where the majority of facilities are independently owned and operated, the consequences are accelerating.

Why your gym is invisible to AI

AI chatbots generate recommendations based on patterns in their training data — billions of web pages, news articles, Reddit threads, review sites, and forum discussions. The brands that appear most frequently in that data are the ones AI recommends.

Consider the math:

• Planet Fitness generates roughly 15–20 million monthly website visits (SimilarWeb, 2024), has tens of thousands of news articles, investor reports, meme-driven social media posts, and Reddit discussions across the web. The “Judgment Free Zone” brand concept alone has generated millions of social media mentions.
• Equinox generates approximately 3–5 million monthly visits and dominates luxury fitness media coverage in outlets like GQ, Vogue, New York Times, and business publications covering its premium pricing strategy.
• OrangeTheory Fitness receives approximately 8–10 million monthly visits and has one of the most active franchise communities on social media, with members routinely posting heart rate monitor results and “splat point” data.
• The average independent gym website receives 500–3,000 monthly visits, has no news coverage, and appears on perhaps 3–6 third-party sites (Google Business Profile, Yelp, maybe ClassPass or a local directory).

That’s a 5,000x–40,000x gap in web presence. And web presence is what AI systems learn from.

Three specific factors determine whether AI mentions your fitness brand:

1. Corpus frequency: How often your brand appears across the web. Planet Fitness has hundreds of thousands of mentions across news, investor analysis, fitness forums, Reddit threads (r/Fitness alone has 11 million members), and social media. A local gym might have 30–80 total web mentions across all sources.
2. Source authority: AI weights authoritative sources more heavily. Equinox gets covered in the Wall Street Journal, Forbes, GQ, and Vogue. CrossFit has its own media ecosystem with CrossFit Games coverage on ESPN. Your independent gym gets a mention in a local Facebook group — which AI can’t see.
3. Content structure: The Princeton/Georgia Tech GEO study (2023) found that content with statistical citations and clear factual claims was up to 40% more likely to be cited by generative AI systems (Aggarwal et al., “GEO: Generative Engine Optimization,” 2023). Most gym websites have unstructured marketing copy (“state-of-the-art equipment,” “motivating atmosphere”) with no data AI can extract and cite.

Most independent fitness businesses fail on all three. They have low corpus frequency, virtually no authoritative mentions, and brochure-style content with no structured data, pricing transparency, or statistical claims that AI can extract and cite. To understand these dynamics more broadly, read our guide on how brands show up in AI recommendations.

What AI gets wrong about fitness businesses

Even when AI does mention a fitness brand, there’s a significant chance it gets the facts wrong. Our testing found AI gives incorrect or outdated information in approximately 40–50% of fitness-specific queries. In an industry built on trust — people are choosing where to push their physical limits — accuracy matters. For more on this problem, see our deep dive on fixing AI hallucinations about your brand.

The most common errors we find in AI responses about fitness businesses:

Membership pricing

Gym pricing is notoriously opaque and varies by location, membership tier, and promotional cycle. IHRSA reports the average monthly gym membership in the US is $56.42 (2024), but this ranges from Planet Fitness’s $10–$24.99/month to Equinox’s $200–$375+/month to boutique studios charging $200–$350/month for unlimited classes. AI chatbots frequently cite outdated pricing, confuse tier structures (quoting a “Classic” membership price when the user’s nearest location only offers “PF Black Card”), or conflate franchise location pricing with corporate pricing. A person asking “How much does OrangeTheory cost?” might receive a figure that is $50–$100/month off from their local studio’s actual rates.

Class offerings and schedules

Boutique fitness studios live and die by their class schedules. A studio may have added hot Pilates, dropped barre, or shifted to a new instructor lineup. AI has no concept of current schedules and will describe class types that a specific location no longer offers, or attribute signature formats to the wrong brand entirely. F45 and OrangeTheory formats get conflated regularly in AI responses.

Amenities and equipment

Not every Planet Fitness has a pool (most don’t). Not every Equinox has a rooftop. Not every CrossFit box has an Olympic lifting platform. AI frequently attributes amenities to franchise locations that don’t have them, because the brand-level marketing mentions amenities that only exist at flagship or select locations. This is a particular problem for franchise brands where facility variation is significant.

Contract terms and cancellation policies

The FTC and state attorneys general have pursued enforcement actions against major gym chains over deceptive cancellation practices. The FTC fined ABC Fitness (formerly ABC Financial) $16.9 million in 2024 over billing and cancellation issues. AI almost never mentions contract commitments, annual fees, or cancellation difficulty — information that is critical to the purchase decision and a leading source of consumer complaints (Better Business Bureau data shows gym memberships among the top 10 most-complained-about service categories).

Personal training and specialized services

Personal training pricing varies enormously — from $30/session at a budget gym to $300+/session at a premium facility. AI frequently fabricates personal training rates, invents package structures, or attributes specialized programs (physical therapy, sports performance, prenatal fitness) to facilities that don’t offer them.

The $96 billion market AI is reshaping

The US fitness industry is massive — and recovering aggressively from the pandemic:

• The US health and fitness club market was valued at $35.3 billion in 2024 (IHRSA, 2025), with total fitness industry spending including home fitness, wearables, apps, and supplements reaching approximately $96 billion (IBISWorld and Global Wellness Institute combined estimates, 2024).
• The global fitness and health club market reached $96.7 billion in 2024 and is projected to grow at a 7.2% CAGR to reach $143 billion by 2030 (Grand View Research, 2024).
• Planet Fitness generated $1.07 billion in revenue in 2024 (annual report), with 19.6 million members — more than any other gym chain in the US.
• Equinox Holdings (which includes Equinox, Blink Fitness, SoulCycle, and Pure Yoga) generates an estimated $2+ billion in annual revenue (Bloomberg, 2024).
• The boutique fitness studio market alone — including brands like OrangeTheory, F45, Pure Barre, Barry’s, and SoulCycle — generates an estimated $30+ billion annually in the US (ClubIntel, 2024).
• ClassPass, acquired by Mindbody in 2021 for a reported $500 million, operates as the dominant fitness marketplace with over 30,000 studio and gym partners. It shapes consumer discovery in ways increasingly mirrored by AI recommendations.
• The connected fitness and digital workout market — Peloton, Apple Fitness+, Mirror (Lululemon), Tonal — generates approximately $7–10 billion annually (McKinsey, 2024), and is a category AI discusses extensively due to heavy media and review coverage.

Yet despite its size, the fitness industry’s digital marketing sophistication varies enormously. IHRSA’s 2024 Fitness Industry Technology Report found that 52% of independent gyms spend less than $1,000 per month on all digital marketing. Most single-location operators rely on word of mouth, Instagram posts, and Google Business Profile for new member acquisition. Many don’t have a website that’s been updated in the past year.

This creates the same dynamic we see across every local service industry: a massive market with fragmented, digitally unsophisticated operators and a handful of well-funded national brands with enormous web presence. The national brands dominate AI recommendations not because they deliver a better workout, but because they’re louder online.

You can’t buy your way into a ChatGPT recommendation. There are no ad slots. You have to earn it through web presence, authoritative content, and structured data. And right now, only 6–7 companies are earning it. For more on why this matters across industries, see why B2B SaaS brands are invisible in ChatGPT.

Wellness, recovery, and fitness apps: AI’s next blind spots

The fitness industry’s AI visibility problem extends well beyond traditional gyms and studios. Three adjacent categories face identical challenges — and in some cases, even worse ones.

Wellness and recovery

The wellness industry — encompassing cryotherapy, float tanks, infrared saunas, massage therapy, IV therapy, and recovery studios — is booming. The Global Wellness Institute valued the global wellness economy at $5.6 trillion in 2023, with the physical activity sub-sector at $828 billion. Recovery-specific concepts like Restore Hyper Wellness (with 225+ studios) and NEXT Health are growing rapidly.

But AI treats wellness and recovery inconsistently. Ask ChatGPT “Where can I get cryotherapy near me?” and you’ll likely get a generic explanation of cryotherapy benefits rather than facility recommendations. The category is too new and too fragmented for AI to have developed strong brand associations. Independent wellness providers — the cold plunge studio, the float center, the infrared sauna bar — are almost entirely invisible.

Fitness apps and digital platforms

The digital fitness space is one area where AI has more to say — but still gets it wrong. Peloton dominates AI fitness app discussions despite its well-documented subscriber decline (from 2.77 million connected fitness subscribers in Q2 2022 to approximately 2.88 million total subscribers by late 2024, according to earnings reports). Apps like Nike Training Club, Fitbod, SWEAT by Kayla Itsines, Alo Moves, and Hevy get inconsistent mention, with AI often recommending apps that have been discontinued, changed their pricing model, or shifted their feature set significantly.

Apple Fitness+ and YouTube fitness content (particularly channels like Fitness Blender, POPSUGAR Fitness, and Sydney Cummings) get mentioned frequently, but AI struggles with the curation question: which app is best for which goal? This is an area where smaller, specialized fitness apps could gain significant AI visibility by publishing data-rich content about their specific use case — an opportunity most are missing entirely.

Specialized training facilities

Sports performance centers, physical therapy clinics with fitness programs, adaptive fitness facilities, prenatal/postnatal studios, senior fitness centers, and martial arts academies all share the same visibility problem. They’re often highly rated locally but invisible to AI because they lack the web corpus frequency of major brands. A sports performance center training professional athletes — with $500/month membership fees and a three-month waitlist — can be invisible to AI while Planet Fitness’s $10/month plan dominates every response.

How people actually choose gyms — and what AI misses

Understanding what drives fitness purchase decisions reveals the depth of AI’s blind spot. IHRSA’s annual consumer research, ClubIntel’s trend reports, and Les Mills’s Global Consumer Fitness Survey consistently identify these top decision factors:

1. Location/proximity — 79% of gym members choose a facility within 15 minutes of home or work (IHRSA, 2025). AI gives national brand recommendations with no proximity filtering.
2. Price/value — 73% of consumers cite membership cost as a top-3 factor (ClubIntel, 2024). AI frequently provides inaccurate or outdated pricing.
3. Equipment and facilities — 68% want to know what equipment is available. AI provides brand-level generalizations, not location-specific details.
4. Class variety and schedule — 61% of studio members joined specifically for group fitness classes (Les Mills Global Consumer Fitness Survey, 2024). AI can’t tell you what’s on the schedule next Tuesday at 6 a.m.
5. Clean, well-maintained facility — 58% rate cleanliness as a top factor. This is inherently location-specific and impossible for AI to assess.
6. Hours of operation — 54% need specific schedule compatibility, especially 24-hour access. AI provides unreliable hours for specific locations.
7. Social/community feel — 47% of boutique studio members cite community as the primary reason they stay. This is nearly impossible for AI to evaluate or communicate.
8. Free trial or low-commitment entry — 42% want to try before committing. AI rarely mentions specific trial offers or introductory pricing that varies by location.

The fundamental mismatch: people need hyper-local, current, detailed information. AI provides national, outdated, surface-level recommendations. This is the gap your fitness business can fill — if AI knows you exist.

The gap between Google and AI recommendations for fitness is stark. On Google, a well-optimized local gym can compete — the Google Maps “3-pack” actively favors proximity and reviews. In AI chatbot responses, proximity is irrelevant. The same national brands appear whether someone is in Manhattan or rural Wyoming. Learn more about how we measure AI visibility across these channels.

What actually works: the AI visibility playbook for fitness

The good news: AI visibility is a solvable problem. And because almost no one in the fitness industry is working on it yet, early movers have a disproportionate advantage. Here’s what works, based on our research into turning AI visibility data into action.

1. Audit what AI currently says about you

Before fixing anything, you need to know what’s broken. Query ChatGPT, Perplexity, Gemini, and Claude with prompts your potential members would actually use:

• “What are the best gyms in [your city]?”
• “Tell me about [your gym/studio name]”
• “How much does a gym membership cost in [your city]?”
• “What are the best yoga studios near [your neighborhood]?”
• “Compare [your studio type] options in [your city]”
• “Best gym for [specific goal] in [your area]”

Document every mention (or absence), every error, and every competitor that appears instead of you. Or run a Metricus AI visibility report that does this across hundreds of query variations automatically. For a quick start, try our free AI visibility check.

2. Publish data-rich, citable content

AI systems cite content that contains structured claims, statistics, and authoritative data. The GEO research from Princeton/Georgia Tech found that content with statistical citations was up to 40% more likely to be cited by generative AI.

For fitness businesses, this means:

• Transparent pricing pages with specific membership tiers, not “contact us for rates.” Include month, effective date, and comparison context (“Our unlimited membership is $149/month as of March 2026, compared to the [city] average boutique studio rate of $195/month per IHRSA data”).
• Class and program detail pages with specific formats, instructor credentials, class size limits, and schedule data. Numbers AI can extract and cite.
• Equipment and facility pages that inventory specific equipment brands and counts (“22 Rogue racks, 8,500 sq ft training floor, Concept2 rowers and Assault bikes”) rather than “state-of-the-art equipment.”
• Fitness resource content: “Guide to gym membership costs in [your city]: 2026 data,” “How to choose the right gym for your goals,” “CrossFit vs. OrangeTheory vs. F45: an honest comparison.” This positions your facility as an authoritative local source AI can cite.
• Results and outcomes data: member transformation stories with specific metrics (with permission), average class attendance rates, member retention statistics. AI loves citing concrete numbers.

3. Build citations on authoritative third-party sources

AI doesn’t just read your website. It reads everything about you across the web. The sources that carry the most weight for fitness:

• Google Business Profile with complete information, photos, and active review management (aim for 100+ reviews — fitness is a high-review category)
• ClassPass / Mindbody listing with detailed, accurate information and strong ratings
• Yelp with complete profile (Yelp is heavily weighted in AI training data for local businesses)
• Reddit — genuine mentions in r/Fitness, r/xxfitness, r/CrossFit, r/yoga, or local city subreddits carry enormous weight. AI heavily indexes Reddit discussions.
• Local media and publications — “Best gym in [city]” roundups, fitness event coverage, instructor profiles in local magazines
• Industry directories — IHRSA member directory, CrossFit affiliate finder, Yoga Alliance registry
• Facebook and Instagram — while AI doesn’t directly train on social media, the ripple effects (news coverage of social content, embedded posts in articles) contribute to corpus frequency

4. Fix your structured data

Implement comprehensive schema markup on your website:

• GymOrHealthClub (or SportsActivityLocation / LocalBusiness) schema for your facility
• FAQPage schema for common member questions (cost, hours, classes, equipment, trial offers)
• Review and AggregateRating schema
• OpeningHoursSpecification for accurate hours (including holiday schedules)
• GeoCoordinates for precise location data
• Offer schema for membership pricing and promotional rates

Structured data helps AI systems understand what your business is, what you offer, and what makes you different — even when your website has less raw content than the national brands.

5. Correct errors at their source

If AI is getting your pricing, class schedule, amenities, or programs wrong, the error is coming from somewhere. Usually it’s an outdated ClassPass listing, stale Yelp information, an old “best gyms in [city]” blog post, pricing from a previous promotional period, or inconsistent data across your own web properties. Find the source, fix it, and the AI corrections will follow over time as models retrain on updated data.

6. Leverage the franchise or affiliate advantage (if applicable)

If you operate a franchise (OrangeTheory, F45, Anytime Fitness) or affiliate (CrossFit), you benefit from the brand’s visibility but need to differentiate your specific location. Publish location-specific content — local market data, community involvement, your coaching staff, your specific equipment and programming — that gives AI a reason to mention your location specifically, not just the brand generically. A CrossFit affiliate that publishes detailed programming philosophy, coach credentials with competition results, and local fitness market analysis will gain AI visibility that a generic “Welcome to CrossFit [City]” page never will.

The case for auditing your AI visibility now

The fitness market is at an inflection point. Post-pandemic recovery has driven membership back to record highs — IHRSA reports US health club membership reached 72.6 million in 2024, surpassing the pre-pandemic peak of 64.2 million in 2019. The industry isn’t just recovering; it’s growing. But the way people discover fitness facilities is changing faster than most operators realize.

McKinsey estimates generative AI could create $60–$110 billion in value across consumer services. The consulting firm’s 2024 consumer survey found that fitness is among the top categories where AI influences purchase research, alongside travel, dining, and electronics. As AI-first discovery becomes the default for the 18–34 demographic — the highest-indexing gym-joining age group — the fitness brands that are visible in AI responses will capture a disproportionate share of new members.

The fitness businesses that understand their AI visibility now — while competitors are still relying exclusively on Instagram and Google Maps — will have a structural advantage that compounds over time. Every piece of authoritative, data-rich content you publish today enters the training data that shapes AI recommendations tomorrow.

The cost of waiting is real. A single gym member represents $600–$4,200+ in annual revenue depending on facility type (Planet Fitness at $10–$24.99/month vs. a boutique studio at $200–$350/month). IHRSA data shows the average gym member lifetime value is $517 per year, with premium facilities seeing 2–4x that figure. If even 5% of prospective members are now starting their search with AI (a conservative estimate given the 43% ChatGPT adoption rate among 18–29-year-olds), and AI never mentions your facility, the lost-member math becomes significant quickly.

For a 500-member gym, that’s potentially 25 new members per year whose discovery journey starts and ends with an AI recommendation that doesn’t include you — representing $15,000–$105,000 in lost annual revenue. For a boutique studio charging $250/month with a 200-person capacity, the calculation is even more stark: 10 lost members equals $30,000/year in recurring revenue that went to the brand AI recommended instead.

Franchise and chain operators face an even larger calculation. A 200-location franchise network with 5% of member discovery shifting to AI could see the equivalent of 5,000 membership decisions influenced by AI recommendations annually — worth millions in system-wide revenue. And unlike Google Ads, you can’t spend your way to the top of an AI response. The only path is earned visibility through content, citations, and structured data.

Sources: IHRSA Global Report (2025); IHRSA Fitness Industry Technology Report (2024); IBISWorld US gym, health, and fitness club market report (2024); ClubIntel Fitness Industry Trends Report (2024); Les Mills Global Consumer Fitness Survey (2024); McKinsey consumer AI adoption survey (2024); McKinsey generative AI value creation estimate (2024); Grand View Research global fitness market (2024); Global Wellness Institute wellness economy report (2023); Planet Fitness 2024 annual report; Equinox Holdings revenue estimates (Bloomberg, 2024); Peloton quarterly earnings reports (2022–2024); FTC enforcement action against ABC Fitness (2024); Gartner search prediction (Feb 2024); Pew Research Center AI adoption survey (2024); Princeton/Georgia Tech GEO study (Aggarwal et al., 2023); SimilarWeb traffic estimates (2024); Better Business Bureau complaint data (2024). AI mention rates based on Metricus internal testing across ChatGPT, Perplexity, Gemini, Claude, and Grok (2026). Learn more about how we measure AI visibility.

Related reading

• The 5-step AI visibility action plan — the general framework for turning audit findings into fixes.
• Fixing AI hallucinations about your brand — the deep dive on correcting factual errors at their source.
• What is AI visibility? — the complete explainer on how brands appear in AI.
• Why B2B SaaS brands are invisible in ChatGPT — the same dynamic in a different industry, with transferable strategies.
• Free AI visibility check — run a quick manual check before ordering a full report.
• AI visibility scores explained — how Metricus measures and benchmarks AI visibility.