Category AI Visibility Report
Silk Robes 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
≈1,359
Est. AI queries / month
16
Buyer topics monitored
10
Brands on the AI shelf
Key insights
- Over the last 30 days, GEOly monitored 16 buyer topics in Silk Robes across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 1,359 AI queries per month.
- Quince leads the AI shelf with 15.2% of brand mentions, followed by slipintosoft (8.7%) and Mulberry Park (7.1%). The top three hold 31% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
- The highest-demand topic is “short silk robes” (top keyword “short silk robes”, ~880 searches/mo).
- AI answers lean on reddit.com most (25.3% 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 | Quince | 1,004 | 15.2% |
| 2 | slipintosoft | 573 | 8.7% |
| 3 | Mulberry Park | 465 | 7.1% |
| 4 | Tara Sartoria | 386 | 5.9% |
| 5 | KIM+ONO | 350 | 5.3% |
| 6 | Petite Plume | 325 | 4.9% |
| 7 | Jasmisilk | 292 | 4.4% |
| 8 | Lunya | 281 | 4.3% |
| 9 | SilkSilky | 238 | 3.6% |
| 10 | Blissy | 117 | 1.8% |
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 |
|---|---|---|---|
| short silk robes | ≈789 | short silk robes | 880 |
| bridesmaid silk robes | ≈570 | bridesmaid robes | 4,400 |
| plus size silk robes | — | plus size robes silk | 480 |
| Chinese silk robes | — | chinese silk robes | 320 |
| red silk robes | — | silk red robes | 880 |
| silk robes for men | — | mens silk robes | 4,400 |
| long silk robes | — | long silk robes | 1,900 |
| custom silk robes | — | customized silk robes | 210 |
| silk robes for women | — | silk robes for women | 6,600 |
| bridal silk robes | — | bridal robe | 12,100 |
| floral silk robes | — | silk floral robes | 480 |
| black silk robes | — | silk black robes | 1,600 |
| Japanese silk robes | — | japanese silk robes | 390 |
| kimono silk robes | — | kimono robe | 14,800 |
| pink silk robes | — | pink robe | 6,600 |
| white silk robes | — | silk white robes | 1,300 |
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 | 146 | 25.3% |
| theknot.com | 51 | 8.8% |
| elle.com | 42 | 7.3% |
| dreamsilken.com | 37 | 6.4% |
| kimandono.com | 32 | 5.5% |
| tarasartoria.com | 31 | 5.4% |
| silksilky.com | 25 | 4.3% |
| fashionbeans.com | 24 | 4.2% |
FAQ
Which brands do AI assistants recommend most for silk robes?
Over the last 30 days the top brands by AI mention share are: Quince (15.2%), slipintosoft (8.7%), Mulberry Park (7.1%), Tara Sartoria (5.9%), KIM+ONO (5.3%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.
How many people ask AI about silk robes?
GEOly estimates ~1,359 AI queries per month in this category across 16 buyer topics, led by “short silk robes”.
Which sources do AI engines cite for silk robes?
The most-cited domains are: reddit.com, theknot.com, elle.com, dreamsilken.com, kimandono.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.