Category AI Visibility Report
Jackets 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
37
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 37 buyer topics in Jackets across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 0 AI queries per month.
- Patagonia leads the AI shelf with 11.7% of brand mentions, followed by RAB (7.5%) and Arc'teryx (6.5%). The top three hold 25.7% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “Rain jackets” (top keyword “rain jacket”, ~49,500 searches/mo).
- AI answers lean on reddit.com most (24.5% 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 | Patagonia | 2,092 | 11.7% |
| 2 | RAB | 1,349 | 7.5% |
| 3 | Arc'teryx | 1,165 | 6.5% |
| 4 | Quince | 964 | 5.4% |
| 5 | The North Face | 851 | 4.7% |
| 6 | Outdoor Research | 588 | 3.3% |
| 7 | REI | 566 | 3.2% |
| 8 | Mountain Hardwear | 547 | 3% |
| 9 | L.L.Bean | 485 | 2.7% |
| 10 | Feathered Friends | 456 | 2.5% |
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 |
|---|---|---|---|
| Rain jackets | — | rain jacket | 49,500 |
| Women's jackets | — | womens jackets | 49,500 |
| Patagonia jackets | — | patagonia jacket | 90,500 |
| Accessible brand down jackets | — | uniqlo down jackets | 3,600 |
| Waterproof down jackets | — | waterproof down jackets | 1,900 |
| Men's jackets | — | mens jackets | 60,500 |
| Varsity jackets | — | letterman jacket | 74,000 |
| Puffer jackets | — | lightweight packable puffer jacket | 135,000 |
| Lightweight down jackets | — | lightest down jackets | 5,400 |
| Long down jackets | — | down jackets and parkas | 2,400 |
| Denim jackets | — | jean jacket | 60,500 |
| Winter down jackets | — | down jackets winter | 6,600 |
| North Face jackets | — | north face jacket | 165,000 |
| Arc'teryx jackets | — | tech jacket | 60,500 |
| Down jackets with hood | — | women's down jackets with hood | 1,600 |
| Premium brand down jackets | — | north face jackets down | 3,600 |
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 | 486 | 24.5% |
| outdoorgearlab.com | 468 | 23.6% |
| rei.com | 201 | 10.1% |
| cleverhiker.com | 126 | 6.4% |
| travelandleisure.com | 90 | 4.5% |
| patagonia.com | 71 | 3.6% |
| gearjunkie.com | 60 | 3% |
| outdoorlife.com | 52 | 2.6% |
FAQ
Which brands do AI assistants recommend most for jackets?
Over the last 30 days the top brands by AI mention share are: Patagonia (11.7%), RAB (7.5%), Arc'teryx (6.5%), Quince (5.4%), The North Face (4.7%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about jackets?
GEOly estimates ~0 AI queries per month in this category across 37 buyer topics, led by “Rain jackets”.
Which sources do AI engines cite for jackets?
The most-cited domains are: reddit.com, outdoorgearlab.com, rei.com, cleverhiker.com, travelandleisure.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.