Category AI Visibility Report
Guitars 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
≈75,241
Est. AI queries / month
14
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 14 buyer topics in Guitars across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 75,241 AI queries per month.
- Yamaha leads the AI shelf with 17.2% of brand mentions, followed by Martin (8.8%) and Fender (7.8%). The top three hold 33.8% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “resonator guitars” (top keyword “resonator guitar”, ~18,100 searches/mo).
- AI answers lean on guitarworld.com most (33.3% 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 | Yamaha | 1,426 | 17.2% |
| 2 | Martin | 730 | 8.8% |
| 3 | Fender | 647 | 7.8% |
| 4 | Ibanez | 632 | 7.6% |
| 5 | PRS | 499 | 6% |
| 6 | Gibson | 395 | 4.8% |
| 7 | Guild | 303 | 3.7% |
| 8 | Gretsch | 258 | 3.1% |
| 9 | ESP LTD | 252 | 3% |
| 10 | Squier | 238 | 2.9% |
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 |
|---|---|---|---|
| resonator guitars | ≈23,792 | resonator guitar | 18,100 |
| semi-hollow electric guitars | ≈20,000 | semi hollow electric guitar | 14,800 |
| dreadnought acoustic guitars | ≈18,374 | dreadnought acoustic guitar | 14,800 |
| left-handed guitars | ≈13,075 | left handed guitar | 14,800 |
| acoustic-electric guitars | — | acoustic electric guitar | 60,500 |
| 12-string guitars | — | 12 string guitar | 27,100 |
| baritone guitars | — | baritone guitar | 14,800 |
| electric guitars | — | electric guitar | 246,000 |
| acoustic guitars for beginners | — | acoustic guitar for beginners | 60,500 |
| electric guitars for beginners | — | beginner electric guitar | 33,100 |
| lap steel guitars | — | steel guitar | 27,100 |
| acoustic guitars | — | acoustic guitar | 201,000 |
| solid body electric guitars | — | solid body electric guitar | 27,100 |
| classical guitars | — | classical guitar | 33,100 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| guitarworld.com | 364 | 33.3% |
| reddit.com | 322 | 29.4% |
| musicradar.com | 111 | 10.1% |
| sweetwater.com | 44 | 4% |
| taylorguitars.com | 43 | 3.9% |
| fender.com | 38 | 3.5% |
| findmyguitar.com | 17 | 1.6% |
| premierguitar.com | 17 | 1.6% |
Related category reports
FAQ
Which brands do AI assistants recommend most for guitars?
Over the last 30 days the top brands by AI mention share are: Yamaha (17.2%), Martin (8.8%), Fender (7.8%), Ibanez (7.6%), PRS (6%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about guitars?
GEOly estimates ~75,241 AI queries per month in this category across 14 buyer topics, led by “resonator guitars”.
Which sources do AI engines cite for guitars?
The most-cited domains are: guitarworld.com, reddit.com, musicradar.com, sweetwater.com, taylorguitars.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.