From AI search to traditional search – discover the complete sportswear landscape
Sportswear & Activewear Market Intelligence
Updated weekly, explore the latest activewear & sportsware dashboard across AI and traditional search, alongside weekly insights highlighting the biggest market movements, emerging trends and standout performers.
Sportswear & Activewear Sector Intelligence methodology
Pi’s Sportswear & Activewear Sector Intelligence uses a representative dataset of sportswear searches and AI conversations to show how consumers discover, compare and evaluate brands and products.
The dataset covers informational, comparative and transactional questions across sportswear, activewear and footwear. It is designed to reflect the directions a consumer’s research can take rather than relying on a small collection of isolated keywords or prompts.
- Markets: UK & US
- Search environments: Google Search and Google AI Mode
- Categories analyzed: Womenswear | Menswear | Kidswear | Non-gender-specific Sportswear | Shoes & Trainers | Accessories
- Search dataset: Long-tail informational and transactional queries reflecting sportswear discovery, product comparison and purchase behavior
- Conversation dataset: Questions covering products, sports, activities, performance requirements, brand comparisons and recommendations
- Dashboard refresh frequency: Weekly
- Market insights publication: Weekly
Want to know how your brand performs?
Explore how your brand ranks across traditional search, AI visibility and brand health signals within the sportswear sector, alongside your key competitors inside the Pi platform.
Explore market leaders by industryExplore market leaders across related industries to understand how brands perform across different sectors and where new opportunities are emerging.
Explore market leaders across related industries to understand how brands perform across different sectors and where new opportunities are emerging.
Sportswear industry reports and market analysis
Alongside live sportswear market trends and sportswear market share data, we publish detailed sportswear industry reports exploring demand shifts, competitive positioning and AI search visibility.
These reports provide structured insight into sportswear brands market share and performance, helping brands, retailers and analysts understand the competitive landscape.
Explore all sector and market analysis reports →
Sports brand insights across the discovery journey
Sportswear discovery happens across search results, shopping features, images, videos, publishers, social platforms and AI-generated conversations.
A consumer might begin with a sport, activity or personal goal, compare products, investigate performance features and then ask an AI platform which brand or product best meets their requirements.
Pi connects traditional search performance with AI search intelligence so sportswear teams can understand where their brand appears, which competitors are gaining attention and which sources influence purchasing decisions.
Benchmark sportswear and activewear market leaders
Pi’s sportswear and activewear leaderboards reveal which brands, retailers and publishers capture search visibility across different product categories and audience needs.
Teams can use traditional search Share of Voice to compare market position and weekly movement, then examine whether the same brands are present in Google AI Mode, ChatGPT, Perplexity and other supported AI platforms.
This shows whether established search leaders retain their position in AI discovery or whether emerging sports and lifestyle brands are entering the conversation.
Map the conversations shaping sportswear purchases
Sportswear consumers rarely make decisions from a single search or prompt. A broad question can develop into a detailed conversation about activity, performance, fit, materials, comfort, sustainability and price.
A journey might develop as follows:
Identify a need → explore products → compare brands → evaluate performance → validate the choice → purchase
Pi’s Conversation Mapping helps sportswear teams understand where their brand enters, remains present or drops out of these journeys.
This can reveal whether a brand appears during initial product discovery but disappears when consumers ask about specific activities, performance requirements, fit, durability or alternatives to a competitor.
Identify the sportswear prompts worth monitoring
Effective AI measurement should begin with the consumer’s need and the wider conversation it creates, not an arbitrary list of product prompts.
Pi’s AI Prompt and Keyword Research helps teams build representative conversation sets around sports, activities, product requirements, audiences, competitor comparisons and purchase decisions.
These sets can combine traditional search demand with the follow-up questions generated within AI conversations.
Read our guide to choosing which prompts and conversations to track.
Turn sportswear search trends into competitive intelligence
Historical search-demand data shows how interest changes across activewear, trainers, sports clothing and accessories.
Combining this demand data with weekly Share of Voice and competitor movement helps teams understand:
- Which sportswear categories and consumer needs are attracting interest
- Which brands and retailers are benefiting from changing demand
- Where competitors are gaining or conceding visibility
- How sportswear search behavior differs between the UK and US
- Where changing demand creates content and category opportunities
This gives marketing, ecommerce, SEO and market-research teams a shared view of how consumer interest connects with competitive search performance.
Understand the sources shaping sportswear recommendations
AI-generated recommendations can be influenced by brand websites, retailers, specialist sports publishers, review sites, communities, creators and videos.
Pi reveals which domains and pages are cited, what information they contribute and whether those sources support your brand or a competitor.
These citation doorways can show whether a team needs to improve product information, explain performance benefits more clearly, publish stronger expert content or establish visibility through an influential third-party source.
Monitor sportswear brand mentions and sentiment
Appearing in an answer does not show how a sportswear brand is represented.
Pi’s AI Brand Monitoring and Sentiment enables teams to compare individual brands, measure positive, neutral and negative mentions, and investigate the sources influencing each narrative.
This reveals whether a brand is associated with the sports, audiences and performance attributes it wants to own, or whether inaccurate and outdated information is shaping its representation.
Track the assets contributing to sportswear visibility
Sportswear visibility is not created by the brand website alone. Product listings, shopping results, retailers, publishers, images, videos and social content can all become entry points into discovery.
Pi’s SERP Feature Tracking shows where shopping results, images, videos, AI Overviews and other features appear and which brands or websites hold them.
Teams can also use Pi’s YouTube Rank Tracker to understand how branded and third-party video content performs for important sportswear searches.
Create a sportswear dataset around your market
The public dashboard provides a cross-market view of the sportswear sector. Inside Pi, teams can create datasets around their own commercial priorities.
- Sportswear, activewear and footwear brands
- Priority products and category hierarchies
- Sports, activities and audience requirements
- Direct competitors, retailers and emerging brands
- Traditional search terms and AI conversation groups
- Google, ChatGPT, Perplexity and other supported search environments
- Brand mentions, citations, sentiment and source influence
- Shopping results, images, videos, AI Overviews and other SERP features
The result is a clearer view of sportswear performance throughout discovery, comparison and purchase.
Understand your sportswear brand’s performance
Compare your brand with sportswear and activewear competitors across traditional and AI search. Identify changes in consumer demand, product visibility and the sources influencing purchasing decisions.
