Category AI Visibility Report
Ar Glasses 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
≈893
Est. AI queries / month
19
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 19 buyer topics in Ar Glasses across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 893 AI queries per month.
- Xreal leads the AI shelf with 25.1% of brand mentions, followed by Viture (22.1%) and Ray-Ban (14.1%). The top three hold 61.3% combined — a concentrated shelf where challengers need a differentiated topic wedge.
- The highest-demand topic is “ar glasses for android” (top keyword “ar glasses for android”, ~210 searches/mo).
- AI answers lean on tomsguide.com most (27.8% 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 | Xreal | 4,334 | 25.1% |
| 2 | Viture | 3,817 | 22.1% |
| 3 | Ray-Ban | 2,439 | 14.1% |
| 4 | RayNeo | 1,629 | 9.4% |
| 5 | Rokid | 952 | 5.5% |
| 6 | Meta | 897 | 5.2% |
| 7 | Even Realities | 742 | 4.3% |
| 8 | Oakley | 494 | 2.9% |
| 9 | ASUS | 216 | 1.3% |
| 10 | Vuzix | 151 | 0.9% |
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 |
|---|---|---|---|
| ar glasses for android | ≈209 | ar glasses for android | 210 |
| ar glasses for steam deck | ≈209 | ar glasses for steam deck | 140 |
| ar glasses with prescription | ≈190 | meta prescription glasses | 3,600 |
| prescription ar glasses | ≈178 | meta prescription glasses | 3,600 |
| ar glasses for iphone | ≈107 | apple glasses | 33,100 |
| ai ar glasses | — | ai glasses | 60,500 |
| ar glasses with camera | — | meta glasses | 1,220,000 |
| vr ar glasses | — | virtual glasses | 6,600 |
| ar glasses for gaming | — | ar glasses for gaming | 2,900 |
| wireless ar glasses | — | wireless ar glasses | 260 |
| xr ar glasses | — | google glasses | 60,500 |
| hud ar glasses | — | halliday glasses | 2,400 |
| lightweight ar glasses | — | lightweight ar glasses | 2,400 |
| translation ar glasses | — | translation glasses | 5,400 |
| ar glasses for movies | — | 4k ar glasses | 210 |
| ar glasses for translation | — | translation glasses | 5,400 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| tomsguide.com | 847 | 27.8% |
| reddit.com | 606 | 19.9% |
| wired.com | 192 | 6.3% |
| theverge.com | 182 | 6% |
| viture.com | 180 | 5.9% |
| xreal.com | 168 | 5.5% |
| vr.org | 92 | 3% |
| techradar.com | 91 | 3% |
FAQ
Which brands do AI assistants recommend most for ar glasses?
Over the last 30 days the top brands by AI mention share are: Xreal (25.1%), Viture (22.1%), Ray-Ban (14.1%), RayNeo (9.4%), Rokid (5.5%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about ar glasses?
GEOly estimates ~893 AI queries per month in this category across 19 buyer topics, led by “ar glasses for android”.
Which sources do AI engines cite for ar glasses?
The most-cited domains are: tomsguide.com, reddit.com, wired.com, theverge.com, viture.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.