Category AI Visibility Report
Motorcycle Exhaust 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
≈1,359
Est. AI queries / month
11
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 11 buyer topics in Motorcycle Exhaust across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 1,359 AI queries per month.
- Yoshimura leads the AI shelf with 18.4% of brand mentions, followed by SC-Project (12.3%) and Arrow (10.3%). The top three hold 41% combined — a concentrated shelf where challengers need a differentiated topic wedge.
- The highest-demand topic is “universal motorcycle exhaust” (top keyword “universal exhaust motorcycle”, ~320 searches/mo).
- AI answers lean on reddit.com most (44.3% 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 | Yoshimura | 542 | 18.4% |
| 2 | SC-Project | 364 | 12.3% |
| 3 | Arrow | 303 | 10.3% |
| 4 | Vance & Hines | 215 | 7.3% |
| 5 | LeoVince | 202 | 6.8% |
| 6 | Akrapovic | 144 | 4.9% |
| 7 | Two Brothers Racing | 128 | 4.3% |
| 8 | Coffman's | 104 | 3.5% |
| 9 | Bassani | 75 | 2.5% |
| 10 | Termignoni | 71 | 2.4% |
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 |
|---|---|---|---|
| universal motorcycle exhaust | ≈457 | universal exhaust motorcycle | 320 |
| motorcycle exhaust headers | ≈453 | exhaust headers motorcycle | 480 |
| short motorcycle exhaust | ≈449 | short motorcycle exhaust pipes | 140 |
| aftermarket motorcycle exhaust | — | yoshimura exhaust | 12,100 |
| motorcycle exhaust silencers | — | motorcycle exhaust mufflers | 9,900 |
| full-system motorcycle exhaust | — | exhaust systems motorcycle | 9,900 |
| performance motorcycle exhaust | — | performance motorcycle exhaust systems | 590 |
| Harley-Davidson motorcycle exhaust | — | harley davidson exhaust | 8,100 |
| slip-on motorcycle exhaust | — | slip on motorcycle exhaust | 1,600 |
| custom motorcycle exhaust | — | motorcycle custom exhaust | 590 |
| loud motorcycle exhaust | — | motorcycle loud exhaust | 260 |
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 | 237 | 44.3% |
| revzilla.com | 84 | 15.7% |
| bikenrider.com | 38 | 7.1% |
| bikesfuture.com | 35 | 6.5% |
| akrapovic.com | 21 | 3.9% |
| euromotards.com | 19 | 3.6% |
| motorcycleist.com | 16 | 3% |
| hdforums.com | 13 | 2.4% |
FAQ
Which brands do AI assistants recommend most for motorcycle exhaust?
Over the last 30 days the top brands by AI mention share are: Yoshimura (18.4%), SC-Project (12.3%), Arrow (10.3%), Vance & Hines (7.3%), LeoVince (6.8%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about motorcycle exhaust?
GEOly estimates ~1,359 AI queries per month in this category across 11 buyer topics, led by “universal motorcycle exhaust”.
Which sources do AI engines cite for motorcycle exhaust?
The most-cited domains are: reddit.com, revzilla.com, bikenrider.com, bikesfuture.com, akrapovic.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.