Category AI Visibility Report
Sweaters 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
≈54,161
Est. AI queries / month
30
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 30 buyer topics in Sweaters across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 54,161 AI queries per month.
- Quince leads the AI shelf with 18.9% of brand mentions, followed by L.L.Bean (4.1%) and Naadam (3.2%). The top three hold 26.2% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “Polo Sweaters” (top keyword “polo sweater”, ~33,100 searches/mo).
- AI answers lean on reddit.com most (28.9% 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 | Quince | 2,339 | 18.9% |
| 2 | L.L.Bean | 512 | 4.1% |
| 3 | Naadam | 401 | 3.2% |
| 4 | Abercrombie & Fitch | 369 | 3% |
| 5 | Banana Republic | 337 | 2.7% |
| 6 | Nordstrom | 277 | 2.2% |
| 7 | UNIQLO | 208 | 1.7% |
| 8 | Gap | 202 | 1.6% |
| 9 | J.Crew | 202 | 1.6% |
| 10 | Lands' End | 193 | 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 |
|---|---|---|---|
| Polo Sweaters | ≈29,002 | polo sweater | 33,100 |
| Oversized Sweaters | ≈25,159 | oversized sweater | 33,100 |
| Black Sweaters | — | black sweater | 27,100 |
| Men’s Sweaters and Cardigans | — | mens cardigan | 49,500 |
| Christmas Sweaters for Women | — | christmas women sweaters | 49,500 |
| Cashmere Sweaters | — | cashmere sweater | 74,000 |
| Dog Sweaters | — | sweaters with dogs | 40,500 |
| Christmas Sweaters for Ladies | — | ladies christmas sweaters | 49,500 |
| Knit Sweaters | — | knits sweaters | 33,100 |
| Sweater Dresses | — | dress sweaters | 74,000 |
| Sweaters for Dogs | — | sweaters for dogs | 40,500 |
| Merino Wool Sweaters | — | marino sweaters | 33,100 |
| White Sweaters | — | cardigan sweaters white | 27,100 |
| Wool Sweaters | — | sweaters woolen | 33,100 |
| Christmas Sweaters for Men | — | men ugly xmas sweaters | 18,100 |
| Colored Sweaters | — | black sweater | 27,100 |
Sources AI cites in this category
Root domains AI engines cited most when answering category queries in the last 30 days.
| Domain | Citations | Share |
|---|---|---|
| reddit.com | 277 | 28.9% |
| forbes.com | 76 | 7.9% |
| travelandleisure.com | 74 | 7.7% |
| menshealth.com | 67 | 7% |
| whowhatwear.com | 66 | 6.9% |
| gq.com | 58 | 6.1% |
| aran.com | 38 | 4% |
| target.com | 22 | 2.3% |
FAQ
Which brands do AI assistants recommend most for sweaters?
Over the last 30 days the top brands by AI mention share are: Quince (18.9%), L.L.Bean (4.1%), Naadam (3.2%), Abercrombie & Fitch (3%), Banana Republic (2.7%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about sweaters?
GEOly estimates ~54,161 AI queries per month in this category across 30 buyer topics, led by “Polo Sweaters”.
Which sources do AI engines cite for sweaters?
The most-cited domains are: reddit.com, forbes.com, travelandleisure.com, menshealth.com, whowhatwear.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.