Category AI Visibility Report
Sporting Goods AI Visibility Report 2026: Top Brands & Buyer Topics in AI Search
Data updated 2026-08-27 · 30-day window · ChatGPT · Google AI Mode · Google AI Overviews
≈658,627
Est. AI queries / month
1,463
Buyer topics monitored
1,175
Brands on the AI shelf
165
Categories covered
Key insights
- Over the last 30 days, GEOly monitored 1,463 buyer topics in Sporting Goods across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 658,627 AI queries per month.
- Nike leads the AI shelf with 2% of brand mentions, followed by Wilson (1.3%) and Shimano (1.1%). The top three hold 4.4% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “golf clubs for distance” (top keyword “golf clubs for distance”, ~22,200 searches/mo).
- AI answers lean on reddit.com most (26.7% of citations) — earning presence on these sources is the shortest path to being recommended.
Brands AI recommends most
Share of brand mentions across AI answers in the last 30 days (Share of Model).
| # | Brand | AI mentions | Share |
|---|---|---|---|
| 1 | Nike | 12,374 | 2% |
| 2 | Wilson | 7,994 | 1.3% |
| 3 | Shimano | 6,993 | 1.1% |
| 4 | adidas | 6,267 | 1% |
| 5 | Bauer | 6,120 | 1% |
| 6 | Smith | 5,093 | 0.8% |
| 7 | Callaway TrueSculpt | 4,915 | 0.8% |
| 8 | Yonex | 4,619 | 0.7% |
| 9 | CCM | 3,951 | 0.6% |
| 10 | Rawlings | 3,948 | 0.6% |
What shoppers ask AI
Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.
| Topic | Est. AI queries / mo | Top keyword | Search volume / mo |
|---|---|---|---|
| golf clubs for distance | ≈19,798 | golf clubs for distance | 22,200 |
| Mary Jane tennis shoes | ≈18,241 | mary janes tennis shoes | 27,100 |
| dress tennis shoes | ≈14,697 | men dress tennis shoes | 18,100 |
| triathlon bicycles | ≈12,238 | triathlon bicycles | 18,100 |
| golf club sets | ≈11,969 | golf set of clubs | 368,000 |
| spiked golf shoes | ≈10,874 | spiked golf shoes | 12,100 |
| comfortable golf shoes | ≈10,117 | golf shoes comfortable | 6,600 |
| bicycles with fat tires | ≈10,080 | bicycles with fat tires | 12,100 |
| two seater bicycles | ≈10,060 | two seater bicycles | 6,600 |
| gasoline powered bicycles | ≈8,200 | gasoline powered bicycles | 6,600 |
| 12 oz boxing gloves | ≈7,773 | 12 oz boxing gloves | 5,400 |
| Mini billiard tables | ≈7,731 | mini pool table | 6,600 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| reddit.com | 27,726 | 26.7% |
| outdoorlife.com | 3,153 | 3% |
| outdoorgearlab.com | 2,924 | 2.8% |
| cyclingnews.com | 1,818 | 1.8% |
| golfmonthly.com | 1,225 | 1.2% |
| fieldandstream.com | 1,190 | 1.1% |
| cyclingweekly.com | 1,075 | 1% |
| bikeradar.com | 1,018 | 1% |
Category reports inside
| Category | Est. AI queries / mo | Topics | Top brand in AI |
|---|---|---|---|
| Bicycles | ≈40,578 | 20 | Trek |
| Tennis Shoes | ≈32,938 | 9 | Nike |
| Golf Clubs | ≈31,767 | 7 | Callaway TrueSculpt |
| Fishing Lures | ≈26,120 | 21 | Rapala |
| Golf Bags | ≈23,731 | 14 | Sun Mountain |
| Boxing Gloves | ≈21,959 | 12 | Hayabusa |
| Golf Shoes | ≈20,991 | 7 | FootJoy |
| Golf Balls | ≈19,769 | 10 | Titleist |
| Skis | ≈19,740 | 16 | Fischer |
| Fishing Rods | ≈19,543 | 16 | Daiwa |
| Billiard Tables | ≈14,042 | 11 | Brunswick |
| Baseballs | ≈11,247 | 12 | Rawlings |
| Baseball Bats | ≈11,085 | 15 | Rawlings |
| Waders | ≈10,967 | 16 | Simms |
| Basketball Hoops | ≈10,255 | 9 | Lifetime |
| Soccer Balls | ≈10,028 | 10 | adidas |
| Rafts | ≈9,467 | 6 | AIRE |
| Basketballs | ≈9,343 | 14 | Wilson |
| Fishing Reels | ≈9,149 | 15 | Shimano |
| Life Jackets | ≈8,917 | 21 | NRS |
| Bowling Balls | ≈8,416 | 14 | Storm |
| Roller Skates | ≈8,139 | 13 | Riedell |
| Ice Skates | ≈7,525 | 11 | Bauer |
| Footballs | ≈7,068 | 11 | Wilson |
| Track Spikes | ≈6,536 | 13 | Nike |
| Crossbows | ≈6,507 | 10 | TenPoint |
| Bicycle Helmets | ≈6,340 | 16 | Giro |
| Canoes | ≈6,336 | 14 | WENONAH |
| Basketball Shoes | ≈6,318 | 8 | Nike |
| Golf Club Sets | ≈6,118 | 10 | Callaway TrueSculpt |
| Sleds | ≈5,958 | 11 | Radio Flyer |
| Dance Shoes | ≈5,686 | 15 | Capezio |
| Hockey Sticks | ≈5,498 | 11 | Bauer |
| Cycling Shoes | ≈5,206 | 12 | Shimano |
| Hand Warmers | ≈4,953 | 8 | Hot Hands |
| Wetsuits | ≈4,953 | 14 | O’Neill |
| Gym Mats | ≈4,886 | 14 | ProsourceFit |
| Ski Goggles | ≈4,770 | 10 | Smith |
| Softballs | ≈4,753 | 14 | Dudley |
| Football Helmets | ≈4,551 | 9 | Schutt |
| Punching Bags | ≈4,545 | 17 | Century |
| Tricycles | ≈4,486 | 10 | Schwinn |
| Bicycle Tires | ≈4,452 | 11 | Schwalbe |
| Pickleball Paddles | ≈4,244 | 13 | Selkirk |
| Barbells | ≈4,180 | 10 | Rogue Fitness |
| Court Shoes | ≈4,059 | 8 | ASICS |
| Golf Gloves | ≈3,933 | 12 | FootJoy |
| Mouthguards | ≈3,859 | 12 | SISU |
| Batting Cages | ≈3,803 | 8 | Heater Sports |
| Softball Bats | ≈3,783 | 7 | Miken |
| Volleyballs | ≈3,728 | 7 | Molten |
| Tennis Rackets | ≈3,624 | 8 | HEAD |
| Shooting Targets | ≈3,568 | 11 | Birchwood Casey |
| Kick Scooters | ≈3,522 | 8 | Madd Gear |
| Bike Trailers | ≈3,268 | 6 | Burley |
| Snowshoes | ≈3,248 | 7 | MSR |
| Broadheads | ≈3,059 | 8 | Iron Will |
| Hunting Blinds | ≈3,046 | 17 | Barronett Blinds |
| Compound Bows | ≈3,015 | 11 | Hoyt |
| Ping Pong Tables | ≈2,911 | 11 | Stiga Autoclip |
| Bicycle Saddles | ≈2,867 | 9 | Brooks |
| Animal Traps | ≈2,817 | 9 | Havahart |
| Fishing Flies | ≈2,803 | 14 | Umpqua |
| Tennis Balls | ≈2,774 | 9 | Wilson |
| Snowboard Bindings | ≈2,754 | 10 | Union |
| Weight Plates | ≈2,740 | 9 | Rogue Fitness |
| Weightlifting Belts | ≈2,648 | 7 | Pioneer |
| Volleyball Nets | ≈2,532 | 6 | Park & Sun Sports |
| Quivers | ≈2,513 | 6 | TightSpot |
| Inline Skates | ≈2,446 | 13 | Rollerblade |
| Stand Up Paddle Boards | ≈2,445 | 9 | BOTE |
| Soccer Goals | ≈2,265 | 11 | QUICKPLAY |
| Swim Caps | ≈2,201 | 15 | TYR |
| Fishing Jigs | ≈2,041 | 10 | VMC |
| Carabiners | ≈1,996 | 11 | Nite Ize |
| Cycling Gloves | ≈1,978 | 11 | Pearl Izumi |
| Ski Helmets | ≈1,971 | 10 | Smith |
| Foam Rollers | ≈1,957 | 13 | TriggerPoint |
| Ski Poles | ≈1,955 | 11 | LEKI |
| Hydration Packs | ≈1,906 | 12 | CamelBak |
| Hunting Decoys | ≈1,885 | 8 | Avian-X |
| Ski Bindings | ≈1,866 | 10 | Salomon |
| Swim Fins | ≈1,795 | 9 | Finis |
| Horse Supplements | ≈1,794 | 10 | Mad Barn |
| Air Hockey Tables | ≈1,765 | 6 | Dynamo |
| Longboards | ≈1,704 | 7 | Loaded Boards |
| Hand Wraps | ≈1,690 | 10 | Meister |
| Fishing Hooks | ≈1,585 | 12 | Gamakatsu |
| Football Gloves | ≈1,581 | 8 | Cutter |
| Horse Boots | ≈1,502 | 16 | Scoot |
| Swimbaits | ≈1,493 | 11 | Keitech |
| Multi-Tools | ≈1,354 | 8 | Leatherman |
| Skateboard Decks | ≈1,354 | 5 | Powell Peralta |
| Recurve Bows | ≈1,320 | 9 | Galaxy |
| Hockey Helmets | ≈1,310 | 7 | Bauer |
| Power Racks | ≈1,288 | 6 | REP Fitness |
| Nunchucks | ≈1,243 | 7 | Flowtoys |
| Bike Locks | ≈1,202 | 12 | Kryptonite |
| Fishing Lines | ≈1,160 | 10 | Seaguar |
| Camping Hammocks | ≈1,118 | 6 | Warbonnet |
| Bridles | ≈1,067 | 9 | Stübben |
| Medicine Balls | ≈1,062 | 8 | Rogue Fitness |
| Longbows | ≈1,047 | 6 | Bear |
| Lacrosse Sticks | ≈1,021 | 12 | STX Dehydra |
| Climbing Shoes | ≈1,019 | 9 | Scarpa |
| Fishing Sinkers | ≈999 | 7 | Eagle Claw |
| Megaphones | ≈968 | 7 | Pyle |
| Bike Trainers | ≈967 | 7 | Wahoo |
| Foosball Tables | ≈945 | 5 | Tornado |
| Fishing Nets | ≈941 | 9 | EGO |
| Crampons | ≈915 | 7 | Kahtoola MICROspikes |
| Pitching Machines | ≈871 | 8 | JUGS |
| Ankle Weights | ≈859 | 8 | Bala |
| Wrestling Singlets | ≈858 | 7 | Cliff Keen |
| Hockey Pucks | ≈789 | 10 | Green Biscuit |
| Skimboards | ≈784 | 8 | ZAP |
| Golf Ball Markers | ≈753 | 7 | Callaway TrueSculpt |
| Snorkels | ≈730 | 6 | Cressi |
| Hockey Gloves | ≈727 | 10 | Bauer |
| Mma Gloves | ≈639 | 8 | Fairtex |
| Skateboard Trucks | ≈576 | 7 | Independent Trading Co. |
| Yoga Blocks | ≈559 | 13 | Manduka |
| Cricket Bats | ≈537 | 11 | Gray-Nicolls |
| Badminton Rackets | ≈531 | 8 | Yonex |
| Wrestling Headgear | ≈516 | 7 | Cliff Keen |
| Lacrosse Balls | ≈507 | 8 | SWAX |
| Fishing Pliers | ≈458 | 10 | Van Staal |
| Water Skis | ≈454 | 7 | O'Brien |
| Unicycles | ≈423 | 6 | ArjoHuntleigh Nimbus |
| Reins | ≈418 | 8 | Buckaroo Leather |
| Cricket Balls | ≈317 | 7 | Kookaburra |
| Soccer Shin Guards | ≈298 | 9 | Nike |
| Wakeboards | ≈220 | 9 | Hyperlite Mountain Gear |
| Baseball Batting Gloves | ≈203 | 5 | Bruce |
| Table Tennis Balls | ≈133 | 6 | DHS |
| Badminton Shoes | ≈130 | 7 | Yonex |
| Disc Golf Discs | ≈106 | 6 | Innova |
| Climbing Ropes | ≈96 | 5 | Mammut |
| Water Purification Tablets | ≈80 | 5 | Aquatabs |
| Ab Rollers | — | 3 | DMoose |
| Balance Trainers | — | 1 | BOSU |
| Bicycle Bags And Panniers | — | 1 | Ortlieb |
| Bicycle Baskets | — | 3 | Wald |
| Bicycle Pedals | — | 11 | Shimano |
| Bike Covers | — | 3 | Formosa Covers |
| Billiard Cues | — | 2 | Predator |
| Buoyancy Compensators | — | 1 | Zeagle |
| Cinches | — | 2 | Weaver |
| Cornhole Sets | — | 4 | American Cornhole League |
| Dartboards | — | 4 | Viper |
| Darts | — | 4 | Harrows |
| Disc Golf Sets | — | 2 | Innova |
| Diving Masks | — | 3 | Cressi |
| Goalkeeper Gloves | — | 4 | Reusch |
| Inversion Tables | — | 2 | Teeter FreeStep |
| Live Bait | — | 2 | Eagle Claw |
| Pedal Boats | — | 3 | Pelican |
| Pilates Reformers | — | 3 | Merrithew |
| Portable Showers | — | 3 | NEMO |
| Riding Crops | — | 1 | Dublin |
| Shuffleboard Tables | — | 4 | Hudson |
| Smith Machines | — | 4 | Force USA |
| Stopwatches | — | 4 | Ultrak |
| Suspension Trainers | — | 1 | TRX |
| Tennis Ball Machines | — | 3 | Lobster |
FAQ
Which brands do AI assistants recommend most for sporting goods?
Over the last 30 days the top brands by AI mention share are: Nike (2%), Wilson (1.3%), Shimano (1.1%), adidas (1%), Bauer (1%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about sporting goods?
GEOly estimates ~658,627 AI queries per month in this category across 1,463 buyer topics, led by “golf clubs for distance”.
Which sources do AI engines cite for sporting goods?
The most-cited domains are: reddit.com, outdoorlife.com, outdoorgearlab.com, cyclingnews.com, golfmonthly.com. Building brand presence on these sources is the most direct way to win AI recommendations.
Methodology
GEOly continuously runs category buyer prompts across ChatGPT, Google AI Mode, Google AI Overviews and records which brands are mentioned and which sources are cited. Figures aggregate a 30-day window; AI query volumes are modeled estimates from keyword demand and AI-adoption share. Data: GEOly MCP Server, updated 2026-08-27.
See your brand inside this category
GEOly tracks how ChatGPT, Google AI Mode and Google AI Overviews mention, rank and cite your brand against every competitor above — and what to fix to win the AI shelf.