Vertical Market Evolution
Fitness and Wellness: How Members Actually Find a Gym in a Record Year
US gym and studio membership just hit a record high, but the decision that gets someone through the door still runs through star ratings, short clips, and word of mouth, with the AI-answer layer still too new for anyone to measure.
Part of Vertical Playbooks in the Insights library.
Abstract
US fitness membership reached a record 81 million people in 2025, about a quarter of everyone age six and older, and members are staying longer with less churn than at any point on record. Underneath that growth sits a discovery funnel still anchored in reviews, local search, and short-form video, inside an industry consolidating fast enough that a handful of chains can now afford to compete on every surface at once. Whether AI-answer engines like ChatGPT and Google AI Overviews are already redirecting some of that discovery is not something anyone has independently measured for this category yet.
The US fitness category is growing and consolidating at the same time, and both facts change how contestable consumer attention actually is. The Health & Fitness Association's 2026 consumer report, built from an 18,000-respondent national survey fielded across 2025, put US membership at a record 81 million people, 26.1% of the population age six and older, with a decade-low churn rate and rising average tenure, and nearly 7 billion facility visits logged over the year. Globally, the wellness economy that fitness sits inside reached $6.8 trillion in 2024 per the Global Wellness Institute, up 7.9% year over year and on pace for roughly $9.8 trillion by 2029, having doubled in size since 2013; wellness real estate and mental wellness were the fastest-growing pieces of that economy, averaging 19.5% and 12.4% annual growth respectively from 2019 to 2024. At the same time, the operators themselves are consolidating hard: Orangetheory Fitness and Anytime Fitness's parent Self Esteem Brands merged in April 2024 to form Purpose Brands, combining more than 7,000 locations and $3.5 billion in sales; Blink Fitness filed Chapter 11 in August 2024 despite roughly 40% revenue growth over the prior two years, and the resulting auction saw PureGym win its Northeast locations for $121 million while Planet Fitness put in competing bids of $142 to $155 million for other regions; Xponential Fitness now franchises more than 3,000 boutique studios across 49 states and 31 countries; and PureGym itself has grown by acquisition to 1.9 million members across 500-plus locations in nine countries. More people are shopping for a facility than ever, and a shrinking number of operators have the scale to fight for their attention everywhere at once.
That growth and consolidation reshapes how people actually choose, and the clearest signal is how much weight reviews now carry before a purchase decision. BrightLocal's February 2026 Local Consumer Review Survey found that 97% of consumers read online reviews when researching a local business, 41% say they always do (up from 29% the year before), 74% specifically look for reviews written in the last three months, and 31% will only patronize a business rated 4.5 stars or higher, up sharply from 17% a year earlier; 85% said positive reviews make them more likely to use a business, 77% said negative ones deter them, and 49% now trust online reviews as much as a personal recommendation. That data describes general local-business behavior, not gym-specific behavior. No public survey breaks review-reading habits out by fitness category, and the Health & Fitness Association's own detailed discovery-channel data sits behind a members-only paywall, so this evidence has to be read as an inferred proxy for the category, not a fitness-specific finding. What is fitness-specific and regulatory rather than survey-based is the Federal Trade Commission's August 2024 rule, effective that October, banning fake reviews and testimonials, including reviews an AI chatbot produces, and banning the purchase of bots to inflate social-media follower or engagement counts. Layered on top of the review layer is a video layer: Pew Research Center's survey of US adults, fielded February through June 2025, found 84% use YouTube, 71% Facebook, 50% Instagram, and 32% TikTok, with usage skewing sharply younger on Instagram (80% of 18-to-29-year-olds versus 19% of those 65 and older) and TikTok (63% versus 12%). A 2026 peer-reviewed study in Frontiers in Psychology found fitness-related social media exposure predicts exercise adherence through two distinct pathways, parasocial relationships with fitness content creators and body-image pressure, and describes fitness social media as having become a primary source of exercise information and health advice for the people who consume it. Together, that means the decision to walk into a facility is increasingly pre-formed by a star rating someone half-trusts as much as a friend's word, and by a relationship with a creator someone has never met.
Read together, this is a map of where attention in the fitness category demonstrably sits right now, and where it might be migrating without anyone yet able to prove it. The strongest, best-evidenced surfaces are local and review-driven discovery, backed by both a near-universal consumer habit (even read as a cross-category proxy) and real regulatory teeth against gaming it, and short-form video and creator content, backed by both mainstream platform-usage data and emerging peer-reviewed research on how it actually works on a viewer. Those are the surfaces a facility can measure, defend, and invest in with confidence today. The frontier is the AI-answer layer. Conversational AI has become a mainstream surface in its own right, OpenAI-reported figures suggest ChatGPT went from 100 million monthly users within two months of its November 2022 launch to something on the order of 900 million weekly users by February 2026, and Google now inserts AI Overviews atop search results with no way for a user to opt out. But there is no independent, methodologically transparent measurement of how often ChatGPT, AI Overviews, or Perplexity actually surface or recommend a specific gym or studio. Generative engine optimization exists as a named discipline now, but even its practitioners have no agreed measurement standard. That gap between growing usage and absent measurement is exactly the terrain a Visibility Corpus is built to read: not to assume the AI layer is already the answer, and not to ignore it either, but to actually capture where a given local market's attention sits today, and to treat the AI-answer surface as an early frontier rather than a channel anyone can currently prove is delivering members.
The data, in one read
A Record Year for an Industry Fighting Harder for Attention
Start with the plain scale of it. The Health & Fitness Association's 2026 report, drawn from an 18,000-respondent national survey fielded throughout 2025, put US gym and studio membership at 81 million people, a record, and 26.1% of everyone age six and older. Churn hit a decade low and average member tenure is rising, meaning the industry is not just adding members, it is keeping them longer than it used to. Those members made nearly 7 billion visits to gyms, health clubs, and studios over the year. Zoom out to the wellness economy those facilities sit inside and the trajectory is the same shape: the Global Wellness Institute put the 2024 global wellness economy at $6.8 trillion, 6.12% of global GDP, up 7.9% from 2023 and projected to reach nearly $9.8 trillion by 2029. It has doubled in size since 2013. Wellness real estate and mental wellness were the fastest-growing slices of that economy over 2019 to 2024, averaging 19.5% and 12.4% annual growth respectively. None of that is a fitness-specific discovery statistic, but it sets the stakes correctly: more people are shopping for a facility, spending more on wellness broadly, and staying once they join, than at any point these organizations have on record. The prize for winning someone's attention before they choose a facility has never been larger.
A record 81 million Americans belonged to a gym, studio, or fitness facility in 2025, a quarter of the population age six and older, with a decade-low churn rate.
Consolidation Is Concentrating Who Can Afford to Compete Everywhere
At the same time the market is growing, it is consolidating into fewer, larger operators, and that changes who can afford to show up on every surface a prospective member checks. In April 2024, Orangetheory Fitness merged with Anytime Fitness's parent, Self Esteem Brands, to form Purpose Brands, a combined company with more than 7,000 locations, roughly 1,500 Orangetheory studios and 5,500 Anytime Fitness gyms, and $3.5 billion in combined sales. A few months later, Blink Fitness filed for Chapter 11 bankruptcy in August 2024, despite having grown revenue by roughly 40% over the prior two years, a reminder that even real growth doesn't guarantee survival in a capital-intensive category. The resulting auction turned competitive fast: PureGym won Blink's Northeast locations with a $121 million bid, while Planet Fitness put in competing last-minute bids of $142 to $155 million for other regions. Meanwhile boutique fitness has scaled into its own franchise empire: Xponential Fitness, the publicly traded curator behind Club Pilates, StretchLab, Pure Barre, and CycleBar, now operates more than 3,000 studios across 49 US states and 31 countries. And internationally, PureGym itself grew by acquiring LA Fitness's UK gyms in 2015 and Denmark's Fitness World in 2019 to reach 1.9 million members across more than 500 locations in nine countries. Each of these is a different flavor of the same fact: the operators with the balance sheet to buy their way to scale are also the operators with the budget to run local search, review management, and content production across every location at once, while a standalone studio has to choose its battles.
Orangetheory Fitness and Anytime Fitness's parent merged in April 2024 into a single company with more than 7,000 locations and $3.5 billion in combined sales.
The Front Door Is Now a Star Rating
The clearest, most consistent signal in this evidence is how much weight reviews carry before someone ever calls or walks in. BrightLocal's February 2026 Local Consumer Review Survey found 97% of consumers read online reviews when researching a local business, 41% say they always do, up from 29% the prior year, and 74% specifically want reviews written within the last three months. Most tellingly, 31% of consumers will now only patronize a business rated 4.5 stars or higher, nearly double the 17% who said the same the year before. Those same consumers reported real behavioral consequences: 85% said positive reviews make them more likely to use a business, 77% said negative reviews deter them, and 49% said they trust online reviews as much as a personal recommendation from someone they know. It is important to be precise about what this data actually covers: it describes general local-business behavior, not fitness or gym-specific behavior. No public survey breaks review-reading habits out by category, and the detailed discovery-channel breakdown inside the Health & Fitness Association's own 2026 report, which likely does answer this for gyms specifically, sits behind a members-only paywall we could not access. Read this as a strong, cross-category proxy for the mechanism at work, not as a gym-specific number. What is unambiguously fitness-relevant, and regulatory rather than survey-based, is the FTC's action: in August 2024 the Commission voted unanimously to finalize a rule banning marketers from using fake reviews, including reviews an AI chatbot produces, and from buying bots to inflate social-media follower or engagement counts, effective that October. A category this review-dependent is also a category with real exposure if it tries to shortcut the trust that reviews are meant to represent.
31% of consumers will now only patronize a business rated 4.5 stars or higher, nearly double the 17% who said the same a year earlier.
Short-Form Video and the Creator Layer
For a meaningful share of prospective members, especially younger ones, the discovery funnel doesn't start on a map at all. It starts on a feed. Pew Research Center's survey of US adults, fielded between February and June 2025, found 84% use YouTube, 71% use Facebook, 50% use Instagram, and 32% use TikTok, and usage skews sharply by age: 80% of 18-to-29-year-olds use Instagram versus 19% of those 65 and older, and 63% of that younger group uses TikTok versus 12% of the older one. That platform reach matters because of what happens on it. A 2026 peer-reviewed study published in Frontiers in Psychology found that fitness-related social media exposure predicts exercise adherence through two distinct pathways: parasocial relationships people form with fitness content creators, and body-image pressure the content generates. The researchers describe fitness social media as having become a primary source of exercise information and health advice for the people who consume it, not a supplementary one. That dual-pathway finding carries real weight for how a facility should think about its own content and creator partnerships. If body-image pressure is genuinely one of the two mechanisms driving engagement with fitness content, then the honesty and framing of that content isn't just a brand question, it's connected to how the audience actually experiences it.
A 2026 study found fitness content works on viewers through two pathways: the parasocial relationships they form with creators, and the body-image pressure the content generates.
The AI-Answer Layer: A Real Surface, No Category Census Yet
Conversational AI has clearly become a mainstream surface in its own right. ChatGPT reached 100 million monthly active users within two months of its November 30, 2022 public release, a figure well corroborated across 2023 press coverage, and OpenAI-reported figures cited via Wikipedia put weekly active users at approximately 900 million by February 2026. Google, meanwhile, now inserts AI Overviews atop search results with no user opt-out, a feature that has drawn criticism for reducing click-through traffic to the sites it summarizes. Generative engine optimization, structuring content so it gets cited by systems like ChatGPT, Perplexity, and AI Overviews, has emerged as a distinct discipline from traditional search optimization, and tools now exist to monitor brand citation inside AI responses. None of that adds up to proof that these engines are meaningfully redirecting fitness-facility discovery today. There is no independent, methodologically transparent measurement of AI-answer-engine citation share for fitness or gym queries specifically. The AI Overviews traffic-reduction effect is real enough to be widely reported, but it is also disputed industry-wide, which is why we tier it as contested rather than established. And GEO as a practice is new enough that no agreed-upon, independent measurement standard exists yet, for this category or any other. This is a growing surface with an unmeasured effect, not a solved channel.
There is no independent, methodologically transparent measurement of AI-answer-engine citation share for fitness or gym queries as of this research. That is the frontier, not a settled fact.
What the Evidence Adds Up To
Put the pieces together and a pattern emerges that looks less like a single discovery channel and more like a layered terrain. At the base is a fast-growing, consolidating market where the operators with real capital, the scale a Purpose Brands, an Xponential Fitness, or a PureGym has built, can afford to be present everywhere a prospective member might look. Above that sits a review layer that, even read cautiously through a general local-business proxy, appears to function as a hard gate: people are reading reviews more often, demanding fresher ones, and holding a rising 4.5-star bar, with federal regulation now backing the requirement that those reviews be real. Above that sits a video and creator layer, concentrated among younger prospects, that research suggests works through relationship and identity, not just exposure. And hovering above all of it, growing in raw usage but still unmapped for this category, is the AI-answer layer. None of these layers replace each other. A facility that wins on local search and reviews but ignores short-form video is likely under-serving its younger prospect pool; a facility chasing the AI-answer layer while neglecting review freshness is optimizing for a channel nobody can yet prove is converting, at the expense of one that demonstrably is.
A facility that wins on local search and reviews but ignores short-form video is likely under-serving its younger prospect pool.
Where This Points: Reading Your Own Market's Terrain
This is exactly the gap a Visibility Corpus is meant to close, not by assuming the answer in advance, but by actually mapping where a specific local market's attention sits today, across local search and reviews, short-form and creator content, and the still-nascent AI-answer surface, and by tracking how that mix moves. For a category this evidence-rich on the proven surfaces and this evidence-poor on the frontier one, the responsible move is to fund the proven levers first, review management and freshness, local presence, honest and well-made short-form content, while treating any investment in AI-answer visibility as early positioning rather than a channel with a demonstrated return. The operators consolidating this category can afford to do all of it at once. Most independent studios and regional chains can't, which makes knowing which surface actually carries your local market's attention the difference between a marketing budget that works and one that's guessing.
Fund the proven levers first: review management, local presence, and honest short-form content. Treat AI-answer visibility as early positioning, not a proven channel.
The evidence, in numbers
Key findings, dated and sourced
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The global wellness economy reached $6.8 trillion in 2024 (6.12% of global GDP), up 7.9% from 2023, and is projected to reach nearly $9.8 trillion by 2029 (7.6% annual growth 2024-2029); the economy has doubled in size since 2013.
established Global Wellness Institute, 2025 Global Wellness Economy Monitor (2025-11)
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Wellness real estate and mental wellness are the fastest-growing sectors within the wellness economy, averaging 19.5% and 12.4% annual growth respectively over 2019-2024.
established Global Wellness Institute, 2025 Global Wellness Economy Monitor (2025-11)
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A record 81 million Americans belonged to a gym, studio, or fitness facility in 2025, pushing membership penetration to 26.1% of the US population ages 6 and older, alongside a decade-low industry churn rate and rising average tenure; findings are based on an 18,000-respondent annual national online survey fielded throughout 2025.
established Health & Fitness Association (HFA, formerly IHRSA), 2026 US Health & Fitness Consumer Report: Headline Trends (2026-04-09)
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Americans made nearly 7 billion visits to gyms, health clubs, and studios in 2025, per the same HFA industry reporting cycle.
established Health & Fitness Association (HFA, formerly IHRSA), HFA press release / 2026 US Health & Fitness Consumer Report cycle (2026-04-09)
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97% of consumers read online reviews when researching local businesses; 41% say they always read reviews (up from 29% the prior year); 74% specifically seek reviews written within the last three months; and 31% will only patronize a business rated 4.5 stars or higher (up from 17% the prior year). This is general local-business behavior, not fitness/gym-specific.
emerging BrightLocal, Local Consumer Review Survey 2026 (2026-02-11)
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85% of consumers say they are more likely to use a business after reading positive reviews, 77% are deterred by negative reviews, and 49% trust online reviews as much as personal recommendations from people they know. This is general local-business behavior, not fitness/gym-specific.
emerging BrightLocal, Local Consumer Review Survey 2026 (2026-02-11)
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In August 2024 the FTC voted unanimously to finalize a rule banning marketers from using fake reviews (including reviews an AI chatbot produces) and from buying bots to inflate social-media follower/engagement counts; the rule took effect in October 2024.
established Federal Trade Commission, FTC final rule on fake reviews and testimonials (as documented on Wikipedia, citing CNBC, Aug 14 2024) (2024-08-14)
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ChatGPT reached 100 million monthly active users within two months of its November 30, 2022 public release, and OpenAI-reported figures cited via Wikipedia put weekly active users at approximately 900 million by February 2026, illustrating the scale of the conversational-AI surface now sitting alongside search and social in the consumer attention terrain.
emerging Wikipedia "ChatGPT" (synthesizing OpenAI-reported figures) (2026-02)
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Google's AI Overviews feature inserts synthesized summaries atop Search results with no user opt-out, and has drawn criticism for reducing click-through traffic to the websites it summarizes; independent, category-specific data quantifying this effect for fitness/gym queries is not yet publicly available.
contested Google, Wikipedia "AI Overviews" (2026)
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Generative engine optimization (GEO), structuring content to be cited by AI systems such as ChatGPT, Perplexity, and Google AI Overviews, has emerged as a distinct discipline from traditional SEO, with tools now used to monitor brand citation in AI responses; the practice remains new enough that no agreed-upon, independent measurement standard yet exists.
emerging General industry practice, Wikipedia "Generative engine optimization" (2026)
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A 2026 peer-reviewed study found fitness-related social media exposure is associated with exercise adherence through two distinct pathways, parasocial relationships with fitness content creators and body-image pressure, and describes fitness social media as having emerged as a primary source of exercise information and health advice.
emerging Li C; Shi Y, "Associations between fitness social media exposure and exercise adherence: dual pathways via parasocial relationships and body image pressure," Frontiers in Psychology, DOI 10.3389/fpsyg.2026.1860956
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Fitness-industry consolidation accelerated in 2024: Orangetheory Fitness merged with Anytime Fitness's parent Self Esteem Brands (completed April 2024) to form Purpose Brands, combining more than 7,000 locations (roughly 1,500 Orangetheory + 5,500 Anytime Fitness) and $3.5 billion in combined sales.
established Purpose Brands (Orangetheory Fitness / Self Esteem Brands / Anytime Fitness), Wikipedia "Orangetheory Fitness" (2024-04)
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Blink Fitness's August 2024 Chapter 11 bankruptcy (despite reporting ~40% revenue growth over the prior two years) triggered a competitive acquisition auction: PureGym won Blink's Northeast (NY/NJ) locations with a $121 million bid in late October 2024, while Planet Fitness submitted competing last-minute bids of $142-155 million for other regions.
emerging PureGym / Planet Fitness / Blink Fitness, "Planet Fitness Makes Play for Blink Fitness in Last-Minute Bid," Athletech News (2024-11-06)
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Xponential Fitness, a publicly traded curator/franchisor of boutique fitness brands (e.g., Club Pilates, StretchLab, Pure Barre, CycleBar), now operates more than 3,000 studios across 49 US states and 31 countries, illustrating boutique fitness's scale-up from single-studio origins into national/international franchise networks.
established Wikipedia "Xponential Fitness" (2026)
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As of a Pew Research Center survey fielded February 5-June 18, 2025 (n=5,022 US adults), platform usage among US adults was: YouTube 84%, Facebook 71%, Instagram 50%, TikTok 32%; usage skews sharply younger for Instagram (80% of 18-29-year-olds vs. 19% of those 65 and older) and TikTok (63% vs. 12%).
established Pew Research Center, Social Media Fact Sheet (2025-06-18)
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PureGym, Britain's largest gym chain, grew via acquisition (LA Fitness's UK gyms in 2015; Denmark's Fitness World in 2019) to over 1.9 million members and 500+ locations across 9 countries as of December 2024, with about 66% of revenue from UK operations.
established Wikipedia "PureGym" (2024-12)
Learning outcomes
What this study teaches
- Treat a fresh, 4.5-star-plus review profile as a threshold, not a nice-to-have. Consumer tolerance for older or lower-rated listings is dropping fast, and the FTC is actively enforcing against faking your way past it.
- Short-form video and real creator or trainer relationships now function as a primary discovery layer for younger prospects, not a side channel, and the research linking it to body-image pressure means the honesty of that content carries real weight.
- Consolidation is concentrating marketing budgets. If you're an independent studio or a regional chain, assume the largest operators can afford to compete on every surface at once, and choose your strongest lever rather than spreading thin.
- Don't assume AI-answer engines like ChatGPT or Google AI Overviews are already sending you members. No independent, category-specific measurement of that exists yet, so treat it as an early position to stake out, not a proven channel to fund heavily.
- Read your own local market's attention terrain before allocating budget rather than assuming national survey data applies one-for-one to your category or your city.
Honest limits
What this does not yet settle
- No public survey, BrightLocal or otherwise, breaks out review-reading and trust behavior specifically for gyms or fitness studios; only general local-business figures are publicly available, and category-specific behavior has to be inferred from that proxy rather than measured directly.
- No independent, methodologically transparent measurement of AI-answer-engine (ChatGPT, Google AI Overviews, Perplexity) citation share for fitness or gym-related queries exists publicly as of this research. This is the primary-capture gap a Visibility Corpus is built to fill for this vertical, not a settled fact this study can report.
- The Health & Fitness Association's detailed 2026 US Health & Fitness Consumer Report, which likely contains the actual discovery-channel breakdown between search, social, referral, and review-driven discovery, sits behind a members-only paywall; only headline penetration, membership, and visit figures are publicly retrievable.
- No public, dated dollar figure for the physical-activity or fitness subsector specifically, as distinct from the aggregate $6.8 trillion wellness economy, was retrievable from Global Wellness Institute's public pages.
- Peer-reviewed literature on gym or studio-specific discovery-channel choice, search versus social versus word of mouth as a purchase decision, is thin. Available recent research addresses fitness-content consumption and exercise adherence rather than the facility-selection decision itself.
- The Blink Fitness bidding-war figures rest on a single trade-press outlet (Athletech News), and its late-October win versus November 6 last-minute bid framing is worth re-verifying against a primary bankruptcy-court or press-release source before being treated as final.
This is a synthesis of dated, attributed evidence, not a census. The AI-answer layer in particular has no independent, Nielsen-grade measurement yet, so readings of it are directional and named as a frontier, never presented as settled.
Straight answers
Frequently asked questions
Is the fitness industry actually growing, or is that just marketing talk?
It's growing on the record. The Health & Fitness Association's 2026 report, built from an 18,000-respondent national survey fielded across 2025, put US gym and studio membership at a record 81 million people, 26.1% of everyone age six and older, with a decade-low churn rate and rising average member tenure. Those members logged nearly 7 billion facility visits over the year, and the broader wellness economy those facilities sit inside reached $6.8 trillion globally in 2024, up 7.9% year over year, per the Global Wellness Institute.
How much do online reviews really matter for getting someone through the gym door?
A lot, though the strongest number here is a proxy rather than a gym-specific figure. BrightLocal's February 2026 Local Consumer Review Survey found 97% of consumers read online reviews when researching a local business, 41% always do, and 31% will now only patronize a business rated 4.5 stars or higher, up sharply from 17% a year earlier. That data describes general local-business behavior, not fitness-specific behavior, since no public survey breaks review habits out by category, but the FTC's 2024 rule banning fake and AI-chatbot-generated reviews confirms regulators treat review integrity as a real, enforceable issue in this space.
Is short-form video like TikTok actually driving gym signups?
The evidence supports video as a real discovery layer, especially for younger prospects, but it's platform reach plus a mechanism study, not a direct signup-attribution number. Pew Research Center found 84% of US adults use YouTube and 32% use TikTok, with usage skewing much younger on Instagram and TikTok specifically. A 2026 peer-reviewed study in Frontiers in Psychology found fitness-related social media exposure predicts exercise adherence through two pathways, parasocial relationships with creators and body-image pressure, and describes fitness social media as a primary source of exercise information for the people who consume it.
Are ChatGPT and Google AI Overviews already sending people to gyms?
Nobody can prove that yet. Conversational AI has become a mainstream surface, with OpenAI-reported figures putting ChatGPT at roughly 900 million weekly users by February 2026, and Google now inserts AI Overviews atop search results with no opt-out. But the study is explicit that there is no independent, methodologically transparent measurement of how often ChatGPT, AI Overviews, or Perplexity actually surface or recommend a specific gym or studio, and generative engine optimization as a discipline has no agreed measurement standard yet. Treat it as a growing, unmeasured frontier, not a proven channel.
If I run an independent studio, where should I actually put my marketing budget?
Fund the proven levers first. The study recommends review management and freshness, a strong local presence, and honest, well-made short-form content, since those are the surfaces backed by real consumer behavior data and, in the case of reviews, active FTC enforcement against faking them. It also flags that the operators driving industry consolidation, like Purpose Brands, Xponential Fitness, and PureGym, can afford to compete on every surface at once, so an independent studio should pick its strongest lever rather than spreading thin, and treat any AI-answer-visibility spend as early positioning rather than a channel with a demonstrated return.
Provenance
References
- Global Wellness Institute, "2025 Global Wellness Economy Monitor" https://globalwellnessinstitute.org/press-room/statistics-and-facts/
- Health & Fitness Association (HFA), "2026 US Health & Fitness Consumer Report: Headline Trends" https://www.healthandfitness.org/2026-us-health-fitness-consumer-report-headline-trends/
- Health & Fitness Association (HFA), press releases / media center https://www.healthandfitness.org/about/media-center/press-releases/
- BrightLocal, "Local Consumer Review Survey 2026" https://www.brightlocal.com/research/local-consumer-review-survey/
- Federal Trade Commission, final rule on fake reviews and testimonials (via Wikipedia, "User review") https://en.wikipedia.org/wiki/User_review
- Wikipedia, "ChatGPT" (synthesizing OpenAI-reported figures) https://en.wikipedia.org/wiki/ChatGPT
- Wikipedia, "AI Overviews" https://en.wikipedia.org/wiki/AI_Overviews
- Wikipedia, "Generative engine optimization" https://en.wikipedia.org/wiki/Generative_engine_optimization
- Li C, Shi Y, "Associations between fitness social media exposure and exercise adherence: dual pathways via parasocial relationships and body image pressure," Frontiers in Psychology https://pubmed.ncbi.nlm.nih.gov/42488059/
- Wikipedia, "Orangetheory Fitness" https://en.wikipedia.org/wiki/Orangetheory_Fitness
- Athletech News, "Planet Fitness Makes Play for Blink Fitness in Last-Minute Bid" https://www.athletechnews.com/planet-fitness-makes-play-for-blink-fitness-in-last-minute-bid/
- Wikipedia, "Xponential Fitness" https://en.wikipedia.org/wiki/Xponential_Fitness
- Pew Research Center, "Social Media Fact Sheet" https://www.pewresearch.org/internet/fact-sheet/social-media/
- Wikipedia, "PureGym" https://en.wikipedia.org/wiki/PureGym
Every measured figure is dated to its capture and tagged with an evidence tier. Every cited work is real and locatable. Where an engine could not be captured this round, it is named as uncaptured, not estimated. Small-sample readings are labelled as directional.