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ItalianoWhich facial skincare brands
AI recommends in Australia
Brands ranked by mention rate on ChatGPT, Gemini and Google AI Mode
- Brands
- 341
- Questions
- 800
- Answers
- 2,400
- AI engines
- 3
01 · Brand leader
Top 10 brands by mention rate
No single brand runs away with the category.
Several brands compete for the top places.
| # | Brand | Mention rate Share of Google AI Mode’s answers in this market that name the brand | Share of voice The brand’s share of all brand mentions in the engine’s answers | 95% range The interval the true mention rate most likely falls in | In top 20 of The brand’s place inside each engine’s own top 20 |
|---|---|---|---|---|---|
| 11 | La Roche-Posay | 35.4% | 7.9% | 32.1–38.7 | ChatGPT1Gemini1Google AI Mode1 |
| 22 | CeraVe | 23.8% | 5.4% | 20.8–26.7 | ChatGPT2Gemini2Google AI Mode2 |
| 33–9 | Avène | 14.8% | 3.0% | 12.3–17.2 | ChatGPT3Gemini3Google AI Mode3 |
| 43–11 | Go-To Skincare | 11.9% | 2.3% | 9.6–14.1 | Gemini18Google AI Mode4 |
| 53–11 | COSRX | 11.5% | 2.7% | 9.3–13.7 | ChatGPT9Gemini4Google AI Mode5 |
| 63–11 | Paula's Choice | 11.5% | 2.7% | 9.3–13.7 | ChatGPT8Gemini10Google AI Mode6 |
| 73–13 | Clinique | 10.6% | 2.3% | 8.5–12.8 | ChatGPT5Gemini8Google AI Mode7 |
| 83–14 | Alpha-H | 10.4% | 2.2% | 8.3–12.5 | ChatGPT12Google AI Mode8 |
| 93–14 | Medik8 | 10.3% | 2.2% | 8.1–12.4 | ChatGPT4Gemini9Google AI Mode9 |
| 104–18 | LANEIGE | 8.5% | 1.9% | 6.8–10.6 | ChatGPT10Gemini5Google AI Mode10 |
| 114–18 | Ultra Violette | 7.9% | 1.8% | 6.2–9.9 | ChatGPT16Google AI Mode11 |
| 127–20 | Dermalogica | 7.1% | 1.5% | 5.5–9.1 | ChatGPT14Gemini11Google AI Mode12 |
| 137–20 | MECCA COSMETICA | 6.6% | 1.5% | 5.1–8.6 | Google AI Mode13 |
| 148–20 | Kiehl's | 6.4% | 1.3% | 4.9–8.3 | Google AI Mode14 |
| 1510–20 | Neutrogena | 6.1% | 1.4% | 4.7–8.0 | ChatGPT7Gemini14Google AI Mode15 |
| 1610–20 | SkinCeuticals | 5.9% | 1.3% | 4.4–7.7 | ChatGPT13Gemini12Google AI Mode16 |
| 1710–20 | Garnier | 5.3% | 1.3% | 3.9–7.0 | ChatGPT18Gemini20Google AI Mode17 |
| 1810–20 | Bioderma | 5.1% | 1.2% | 3.8–6.9 | ChatGPT6Gemini7Google AI Mode18 |
| 1912–20 | Skin1004 | 4.4% | 1.1% | 3.2–6.0 | Gemini6Google AI Mode19 |
| 2012–20 | Beauty of Joseon | 4.3% | 0.9% | 3.1–5.9 | ChatGPT17Gemini16Google AI Mode20 |
02 · Engine consensus
Where each brand ranks
inside every engine’s top 10
There is no single AI top 10.
Only 8 of 13 brands rank in the top 10 of all 3 engines.
| Brand | ChatGPT | Gemini | Google AI Mode | In top 10 of |
|---|---|---|---|---|
| La Roche-Posay | 1 | 1 | 1 | ChatGPTGeminiGoogle AI Mode |
| CeraVe | 2 | 2 | 2 | ChatGPTGeminiGoogle AI Mode |
| Avène | 3 | 3 | 3 | ChatGPTGeminiGoogle AI Mode |
| COSRX | 9 | 4 | 5 | ChatGPTGeminiGoogle AI Mode |
| Clinique | 5 | 8 | 7 | ChatGPTGeminiGoogle AI Mode |
| Medik8 | 4 | 9 | 9 | ChatGPTGeminiGoogle AI Mode |
| Paula's Choice | 8 | 10 | 6 | ChatGPTGeminiGoogle AI Mode |
| LANEIGE | 10 | 5 | 10 | ChatGPTGeminiGoogle AI Mode |
| Bioderma | 6 | 7 | – | ChatGPTGemini |
| Go-To Skincare | – | – | 4 | Google AI Mode |
| Skin1004 | – | 6 | – | Gemini |
| Neutrogena | 7 | – | – | ChatGPT |
| Alpha-H | – | – | 8 | Google AI Mode |
Rank inside each engine’s own top 10 · a dash means the brand is not in that engine’s top 10.
The rest depend on which engine the buyer opens — so a rank from a single engine is not a market position.
Source: Findrix's research. Where each brand ranks inside every engine's top 10, facial skincare, Australia.
03 · Most cited domains
Which sites each engine cites, and
how much of its answers they carry
| Domain | ChatGPT | Gemini | Google AI Mode |
|---|---|---|---|
| google.com | 0.2% | – | 60.6% |
| adorebeauty.com.au | 10.8% | 6.5% | 5.7% |
| glow.com.au | 1.1% | 9.6% | 0.8% |
| sephora.com.au | 2.8% | 7.4% | 1.2% |
| chemistwarehouse.com.au | 6.6% | 2.9% | 4.4% |
| reddit.com | 6.6% | 1.7% | 3.7% |
| mecca.com | 3.6% | 3.4% | 1.3% |
| laroche-posay.com.au | 3.5% | 1.5% | 0.5% |
| nestpath.com.au | – | 2.4% | 0.1% |
| beautyheaven.com.au | 0.1% | 2.3% | 1.9% |
| forbes.com | <0.1% | 2.2% | 0.2% |
| news.com.au | 2.1% | – | 0.8% |
04 · The questions we asked
800 buyer questions, each
asked once per engine
General requests and requests with a specific use case, audience, selection criterion or problem.
| Question type | Questions |
|---|---|
| General questions | 120 |
| Use case | 288 |
| Audience | 150 |
| Selection criteria | 150 |
| Problem to solve | 92 |
By question type
Examples · General questions
“what are the best skincare brands in Australia?”
“what are the best facial sunscreens in Australia?”
Examples · Use case
“which brands make the best cleansing oils for removing waterproof mascara in Australia?”
“which skincare brands are most recommended for pre-wedding bridal skincare routines in Australia?”
Examples · Audience
“which barrier creams are best for people with sensitive skin in Australia?”
“which skincare brands are most popular with women over 50 with sun damage and dryness in Australia?”
Examples · Selection criteria
“which tinted sunscreens should I choose if shade range inclusivity matters most in Australia?”
“how do skincare brands compare on millilitre for millilitre value in Australia?”
Examples · Problem to solve
“I'm dealing with face burning when applying basic moisturiser in Australia. Which skincare brands should I look at?”
“Which skincare brands should I compare for a routine that includes vitamin C and AHA/BHA exfoliants in Australia?”
Source: Findrix research. 800 buyer questions by question type, facial skincare, Australia.
05 · Product types
Which products the questions cover
Select a product type to see example questions from this market.
By product type
Examples · Daily Facial Sunscreens
“what are the best facial sunscreens in Australia?”
Examples · Tinted Facial Sunscreens
“which tinted sunscreens should I choose if shade range inclusivity matters most in Australia?”
Examples · Cleansing Oils
“which brands make the best cleansing oils for removing waterproof mascara in Australia?”
Examples · Skin Barrier Repair Balms
“which barrier creams are best for people with sensitive skin in Australia?”
Examples · No product type assigned
“what are the best skincare brands in Australia?”
“I'm dealing with face burning when applying basic moisturiser in Australia. Which skincare brands should I look at?”
“which skincare brands are most recommended for pre-wedding bridal skincare routines in Australia?”
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Frequently asked questions
What does this Facial Skincare AI Search report measure?
Which facial skincare brands ChatGPT, Gemini and Google AI Mode name when buyers in Australia ask them for advice. We asked 800 buyer questions, each once to each engine, and counted how often every brand appears and which websites the engines cite. Measured Oct 2026.
What does “mention rate” mean?
The share of an engine’s answers to this market’s buyer questions that name the brand. A 10% mention rate means the brand came up in about one answer in ten. Every rate carries a 95% range: the interval the true value most likely falls in.
How are the top Facial Skincare brands ranked?
By mention rate, separately for each engine — pick the engine above the table. When two brands’ 95% ranges overlap, their order is not really different — tick “Only distinguishable places” to see the ranks the data can actually separate.
Why does a brand rank differently across AI engines?
Each engine retrieves from different sources and weighs them differently, so the brands it knows best differ too. Only 8 of 13 brands make the top 10 of every engine here; the rest depend on which engine the buyer opens.
What counts as a citation?
A link or source an engine shows alongside its answer. We record every cited domain, whether it appears inline or in the source list.
Why can AI mention a brand without citing its website?
Engines learn brand names from reviews, expert sites, retailers and forums, then cite those sources rather than the brand’s own pages. A brand can be named often while its own site is rarely among the sources.
What does “share of citations” mean?
Of all the citations one engine gave across our questions, the share that went to a given domain. The shares of one engine add up to 100%.
Will I get the same answers if I ask these questions myself?
Not word for word. AI answers vary between runs, accounts and locations, which is why we ask every question once to each engine and report a 95% range instead of a single answer.