Category AI Visibility Report
Linen Clothing 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
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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 Linen Clothing across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 0 AI queries per month.
- Quince leads the AI shelf with 23.3% of brand mentions, followed by Eileen Fisher (4.1%) and Banana Republic (3.7%). The top three hold 31.1% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “Linen pajamas” (top keyword “linen pajamas”, ~3,600 searches/mo).
- AI answers lean on reddit.com most (32.7% 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 | Quince | 1,201 | 23.3% |
| 2 | Eileen Fisher | 210 | 4.1% |
| 3 | Banana Republic | 191 | 3.7% |
| 4 | MagicLinen | 154 | 3% |
| 5 | MATE the Label | 147 | 2.9% |
| 6 | UNIQLO | 113 | 2.2% |
| 7 | Abercrombie & Fitch | 101 | 2% |
| 8 | Faherty | 98 | 1.9% |
| 9 | Universal Standard | 90 | 1.7% |
| 10 | Gap | 81 | 1.6% |
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 |
|---|---|---|---|
| Linen pajamas | — | linen pajamas | 3,600 |
| Women's linen clothing | — | linen clothing womens | 14,800 |
| Summer linen clothing | — | summer linen clothing | 4,400 |
| Linen sets | — | linen short set | 2,900 |
| Linen compared to other fabrics | — | linen vs cotton | 5,400 |
| Linen fabric and material | — | linen fabric for clothes | 3,600 |
| 100% linen clothing | — | 100 linen clothing | 4,400 |
| Linen dresses | — | linen clothing dresses | 40,500 |
| Linen-cotton blend clothing | — | cotton linen fabric | 1,600 |
| Linen tops | — | linen shirts | 40,500 |
| Natural fiber linen clothing | — | natural fiber clothing | 6,600 |
| Plus size linen clothing | — | linen clothing for plus size | 2,900 |
| Linen clothing care and maintenance | — | pre washed linen | 1,900 |
| Men's linen clothing | — | linen shirt men's clothing | 22,200 |
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 | 260 | 32.7% |
| uniqlo.com | 69 | 8.7% |
| travelandleisure.com | 39 | 4.9% |
| thegoodtrade.com | 37 | 4.6% |
| gq.com | 35 | 4.4% |
| marieclaire.com | 31 | 3.9% |
| vogue.com | 29 | 3.6% |
| whowhatwear.com | 29 | 3.6% |
FAQ
Which brands do AI assistants recommend most for linen clothing?
Over the last 30 days the top brands by AI mention share are: Quince (23.3%), Eileen Fisher (4.1%), Banana Republic (3.7%), MagicLinen (3%), MATE the Label (2.9%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about linen clothing?
GEOly estimates ~0 AI queries per month in this category across 14 buyer topics, led by “Linen pajamas”.
Which sources do AI engines cite for linen clothing?
The most-cited domains are: reddit.com, uniqlo.com, travelandleisure.com, thegoodtrade.com, gq.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.