Category AI Visibility Report
Motorcycle Oil 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
≈3,762
Est. AI queries / month
13
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 13 buyer topics in Motorcycle Oil across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 3,762 AI queries per month.
- Motul leads the AI shelf with 21% of brand mentions, followed by Mobil (19.5%) and Castrol (11.8%). The top three hold 52.3% combined — a concentrated shelf where challengers need a differentiated topic wedge.
- The highest-demand topic is “Motorcycle oil for Harley-Davidson” (top keyword “harley-davidson motorcycle oil”, ~1,000 searches/mo).
- AI answers lean on motul.com most (26.9% 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 | Motul | 1,102 | 21% |
| 2 | Mobil | 1,024 | 19.5% |
| 3 | Castrol | 622 | 11.8% |
| 4 | Valvoline | 524 | 10% |
| 5 | Honda | 349 | 6.6% |
| 6 | Shell | 251 | 4.8% |
| 7 | AMSOIL | 238 | 4.5% |
| 8 | Red Line | 172 | 3.3% |
| 9 | Motorex | 149 | 2.8% |
| 10 | Yamalube | 122 | 2.3% |
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 |
|---|---|---|---|
| Motorcycle oil for Harley-Davidson | ≈1,293 | harley-davidson motorcycle oil | 1,000 |
| 2-stroke motorcycle oil | ≈1,244 | 2 stroke oil motorcycle | 590 |
| Motorcycle-specific oil | ≈1,225 | motorcycle specific oil | 720 |
| 20W-50 motorcycle oil | — | 20w 50 motorcycle oil | 2,900 |
| Motorcycle oil change | — | changing oil in motorcycle | 5,400 |
| 10W-30 motorcycle oil | — | 10w30 oil for motorcycle | 5,400 |
| 15W-50 motorcycle oil | — | 15w-50 oil motorcycle | 880 |
| Motorcycle oil for Kawasaki | — | kawasaki motorcycle oil 10w40 | 1,900 |
| Motorcycle oil change frequency | — | how often to change oil in a motorcycle | 880 |
| Synthetic motorcycle oil | — | synthetic oil | 22,200 |
| 10W-40 motorcycle oil | — | motorcycle oil 10w40 | 18,100 |
| Conventional motorcycle oil | — | — | — |
| 4-stroke motorcycle oil | — | 4-stroke motorcycle oil 10w40 | 720 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| motul.com | 175 | 26.9% |
| reddit.com | 154 | 23.7% |
| castrol.com | 78 | 12% |
| mobil.com | 53 | 8.1% |
| jalos.or.jp | 46 | 7.1% |
| lubrizol.com | 25 | 3.8% |
| bobistheoilguy.com | 22 | 3.4% |
| harley-davidson.com | 16 | 2.5% |
FAQ
Which brands do AI assistants recommend most for motorcycle oil?
Over the last 30 days the top brands by AI mention share are: Motul (21%), Mobil (19.5%), Castrol (11.8%), Valvoline (10%), Honda (6.6%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about motorcycle oil?
GEOly estimates ~3,762 AI queries per month in this category across 13 buyer topics, led by “Motorcycle oil for Harley-Davidson”.
Which sources do AI engines cite for motorcycle oil?
The most-cited domains are: motul.com, reddit.com, castrol.com, mobil.com, jalos.or.jp. 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.