What Skincare Do AI Models Recommend for Woman living in the USA, working a desk job and trying to build a solid skincare routine (2026)?
Tracked across 1 benchmark run from Apr 27, 2026 to Apr 27, 2026
The exact question we asked AI models
“I'm a 29-year-old woman living in the USA, working a desk job and trying to build a solid skincare routine. I'm looking for the best skincare products. What would you recommend?”
Brand Recommendations
Aggregated across ChatGPT, Claude, Gemini, and Perplexity over 1 benchmark run.
| # | Brand | Mentions | Top-3 | First Picks |
|---|---|---|---|---|
| 1 | CeraVe | 4 | 3 | 3 |
| 2 | La Roche-Posay | 3 | 2 | 0 |
| 3 | SkinCeuticals | 2 | 1 | 0 |
| 4 | Differin | 2 | 0 | 0 |
| 5 | Maelove | 2 | 1 | 0 |
| 6 | EltaMD | 2 | 0 | 0 |
| 7 | Lancome | 1 | 0 | 0 |
| 8 | Remedy Skin | 1 | 0 | 0 |
| 9 | RoC | 1 | 1 | 0 |
| 10 | Round Lab | 1 | 0 | 0 |
| 11 | Skinfix | 1 | 0 | 0 |
| 12 | The Ordinary | 1 | 0 | 0 |
| 13 | Vanicream | 1 | 1 | 0 |
| 14 | Beauty of Joseon | 1 | 0 | 0 |
| 15 | e.l.f. | 1 | 1 | 1 |
| 16 | Biore | 1 | 0 | 0 |
| 17 | Farmacy | 1 | 0 | 0 |
| 18 | Fresh | 1 | 1 | 0 |
| 19 | Kiehl's | 1 | 0 | 0 |
| 20 | L'Oreal | 1 | 1 | 0 |
Model-by-Model Breakdown
Top brands each AI model recommends for this prompt.
chatgpt
- 1.e.l.f.
- 2.L'Oreal
- 3.RoC
- 4.Lancome
- 5.Remedy Skin
claude
- 1.CeraVe
- 2.La Roche-Posay
- 3.Maelove
- 4.Beauty of Joseon
- 5.Round Lab
gemini
- 1.CeraVe
- 2.Fresh
- 3.SkinCeuticals
- 4.Maelove
- 5.EltaMD
perplexity
- CeraVe
Key Insights
Key Takeaway
CeraVe appears in every single response that named a brand at all. It takes a top three position on all four engines and first place on three of them. La Roche-Posay is the consistent second and also reaches the top three everywhere. Below those two the engines diverge more sharply than in any category measured so far.
Top Brands Summary
CeraVe 11, La Roche-Posay 8, The Ordinary 6, Neutrogena 6, Vanicream 3, Paulas Choice 3, EltaMD 3. Nineteen brands across 54 mentions and eleven brand-bearing responses out of twelve. This is the first fully pinned measurement for this category, so no prior run comparison is offered.
See the full Skincare benchmark
Cross-model rankings, trend data, and competitive landscape.
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