Category AI Visibility Report
Outdoor Recreation 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
≈402,831
Est. AI queries / month
865
Buyer topics monitored
737
Brands on the AI shelf
94
Categories covered
Key insights
- Over the last 30 days, GEOly monitored 865 buyer topics in Outdoor Recreation across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 402,831 AI queries per month.
- Shimano leads the AI shelf with 1.9% of brand mentions, followed by Smith (1.4%) and Callaway TrueSculpt (1.3%). The top three hold 4.6% 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 (26.1% 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 | Shimano | 6,993 | 1.9% |
| 2 | Smith | 5,093 | 1.4% |
| 3 | Callaway TrueSculpt | 4,915 | 1.3% |
| 4 | Yonex | 3,963 | 1.1% |
| 5 | Giro | 3,920 | 1.1% |
| 6 | Daiwa | 3,317 | 0.9% |
| 7 | Specialized | 3,245 | 0.9% |
| 8 | Salomon | 2,697 | 0.7% |
| 9 | FootJoy | 2,307 | 0.6% |
| 10 | Black Diamond Equipment | 2,099 | 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 |
| 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 |
| Golf balls for beginners | ≈6,962 | golf balls beginners | 4,400 |
| vintage golf bags | ≈6,683 | retro golf bags | 3,600 |
| Glow in the dark golf balls | ≈6,566 | glow-in-the-dark golf balls | 5,400 |
| Golf balls for high swing speeds | ≈6,241 | golf balls for high swing speeds | 4,400 |
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 | 16,676 | 26.1% |
| outdoorlife.com | 3,153 | 4.9% |
| outdoorgearlab.com | 2,570 | 4% |
| cyclingnews.com | 1,818 | 2.8% |
| golfmonthly.com | 1,225 | 1.9% |
| fieldandstream.com | 1,190 | 1.9% |
| cyclingweekly.com | 1,075 | 1.7% |
| bikeradar.com | 1,018 | 1.6% |
Category reports inside
| Category | Est. AI queries / mo | Topics | Top brand in AI |
|---|---|---|---|
| Bicycles | ≈40,578 | 20 | Trek |
| Golf Clubs | ≈31,767 | 7 | Callaway TrueSculpt |
| Fishing Lures | ≈26,120 | 21 | Rapala |
| Golf Bags | ≈23,731 | 14 | Sun Mountain |
| Golf Shoes | ≈20,991 | 7 | FootJoy |
| Golf Balls | ≈19,769 | 10 | Titleist |
| Skis | ≈19,740 | 16 | Fischer |
| Fishing Rods | ≈19,543 | 16 | Daiwa |
| Waders | ≈10,967 | 16 | Simms |
| Rafts | ≈9,467 | 6 | AIRE |
| Fishing Reels | ≈9,149 | 15 | Shimano |
| Life Jackets | ≈8,917 | 21 | NRS |
| Roller Skates | ≈8,139 | 13 | Riedell |
| Crossbows | ≈6,507 | 10 | TenPoint |
| Bicycle Helmets | ≈6,340 | 16 | Giro |
| Canoes | ≈6,336 | 14 | WENONAH |
| Golf Club Sets | ≈6,118 | 10 | Callaway TrueSculpt |
| Sleds | ≈5,958 | 11 | Radio Flyer |
| Cycling Shoes | ≈5,206 | 12 | Shimano |
| Hand Warmers | ≈4,953 | 8 | Hot Hands |
| Wetsuits | ≈4,953 | 14 | O’Neill |
| Ski Goggles | ≈4,770 | 10 | Smith |
| Tricycles | ≈4,486 | 10 | Schwinn |
| Bicycle Tires | ≈4,452 | 11 | Schwalbe |
| Pickleball Paddles | ≈4,244 | 13 | Selkirk |
| Golf Gloves | ≈3,933 | 12 | FootJoy |
| 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 |
| Bicycle Saddles | ≈2,867 | 9 | Brooks |
| Animal Traps | ≈2,817 | 9 | Havahart |
| Fishing Flies | ≈2,803 | 14 | Umpqua |
| Snowboard Bindings | ≈2,754 | 10 | Union |
| Quivers | ≈2,513 | 6 | TightSpot |
| Inline Skates | ≈2,446 | 13 | Rollerblade |
| Stand Up Paddle Boards | ≈2,445 | 9 | BOTE |
| 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 |
| 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 |
| Longboards | ≈1,704 | 7 | Loaded Boards |
| Fishing Hooks | ≈1,585 | 12 | Gamakatsu |
| 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 |
| Bike Locks | ≈1,202 | 12 | Kryptonite |
| Fishing Lines | ≈1,160 | 10 | Seaguar |
| Camping Hammocks | ≈1,118 | 6 | Warbonnet |
| Bridles | ≈1,067 | 9 | Stübben |
| Longbows | ≈1,047 | 6 | Bear |
| Climbing Shoes | ≈1,019 | 9 | Scarpa |
| Fishing Sinkers | ≈999 | 7 | Eagle Claw |
| Bike Trainers | ≈967 | 7 | Wahoo |
| Fishing Nets | ≈941 | 9 | EGO |
| Crampons | ≈915 | 7 | Kahtoola MICROspikes |
| Skimboards | ≈784 | 8 | ZAP |
| Golf Ball Markers | ≈753 | 7 | Callaway TrueSculpt |
| Snorkels | ≈730 | 6 | Cressi |
| Skateboard Trucks | ≈576 | 7 | Independent Trading Co. |
| Badminton Rackets | ≈531 | 8 | Yonex |
| Fishing Pliers | ≈458 | 10 | Van Staal |
| Water Skis | ≈454 | 7 | O'Brien |
| Unicycles | ≈423 | 6 | ArjoHuntleigh Nimbus |
| Reins | ≈418 | 8 | Buckaroo Leather |
| Wakeboards | ≈220 | 9 | Hyperlite Mountain Gear |
| Badminton Shoes | ≈130 | 7 | Yonex |
| Disc Golf Discs | ≈106 | 6 | Innova |
| Climbing Ropes | ≈96 | 5 | Mammut |
| Water Purification Tablets | ≈80 | 5 | Aquatabs |
| Bicycle Bags And Panniers | — | 1 | Ortlieb |
| Bicycle Baskets | — | 3 | Wald |
| Bicycle Pedals | — | 11 | Shimano |
| Bike Covers | — | 3 | Formosa Covers |
| Buoyancy Compensators | — | 1 | Zeagle |
| Cinches | — | 2 | Weaver |
| Cornhole Sets | — | 4 | American Cornhole League |
| Disc Golf Sets | — | 2 | Innova |
| Diving Masks | — | 3 | Cressi |
| Live Bait | — | 2 | Eagle Claw |
| Pedal Boats | — | 3 | Pelican |
| Portable Showers | — | 3 | NEMO |
| Riding Crops | — | 1 | Dublin |
FAQ
Which brands do AI assistants recommend most for outdoor recreation?
Over the last 30 days the top brands by AI mention share are: Shimano (1.9%), Smith (1.4%), Callaway TrueSculpt (1.3%), Yonex (1.1%), Giro (1.1%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about outdoor recreation?
GEOly estimates ~402,831 AI queries per month in this category across 865 buyer topics, led by “golf clubs for distance”.
Which sources do AI engines cite for outdoor recreation?
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.