Beauty and personal care: who actually wins organic shopping visibility
We tracked 5,000 UK search terms and 300 ChatGPT buying prompts across 11 beauty categories. Google and ChatGPT pick the same winning retailer less than half the time.
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Contents Key findings
Executive summary
Re:signal tracked who wins Google’s organic shopping grids across 5,000 UK beauty search terms and 937 sellers (August 2026), then ran 300 UK buying prompts through ChatGPT (6 to 14 August 2026).
Google is fragmented: no seller holds more than 20% of any category. ChatGPT agrees with Google on the winning retailer only 43.1% of the time, and the brands it recommends rarely make the sale.
- Amazon and Boots hold the top organic spot in 79% of 103 subcategories.
- 94 brands sell direct in ChatGPT with no presence in Google’s organic product tiles.
- Moroccanoil and Olaplex were recommended 831 times but were the merchant 4 times.
Part 1
The state of Google organic shopping
The category leader holds under 20% everywhere, and under 10% in four of 11 categories. Everything is to play for, whatever your size.
Why is this happening?
Most likely, product data. When feeds and structured data are incomplete or don’t match the site, even big retailers miss searches they should win. The same gap costs them in ChatGPT.
The coverage gap: not every beauty search is shoppable
90.8% of searches return at least one shoppable listing, but coverage depends on how often Google can match a search to products.
Key finding
1 in 8 hair searches show no organic product listings. Almost every feminine care (98.0%) and suncare (97.1%) search does.
Share of search volume with an organic shopping result
| Category | Searches with a shopping result |
|---|---|
| Hair | |
| Deodorant | |
| Makeup | |
| Shaving and hair removal | |
| Beauty accessories | |
| Oral care | |
| Skincare | |
| Fragrance | |
| Bath and body | |
| Suncare | |
| Feminine care |
Concentration vs fragmentation: which categories are up for grabs
The top 5 sellers hold 38.0% of visibility and the top 10 hold 54.5%. Over 900 sellers share the rest.
Leading seller by category
| Category | Leading seller | Leader share | Top 3 combined |
|---|---|---|---|
Key finding
Makeup and suncare are the most locked down: the top 3 hold over a third of each. Shaving and hair removal is wide open: Argos leads with under 9%.
Generalists vs specialists
Generalists take more than half of all visibility. Specialists win in their own category.
The generalists: present everywhere
| Seller | Overall share | Present in |
|---|---|---|
| Amazon Marketplace | All 11 categories | |
| Boots.com | All 11 categories | |
| Superdrug.com | All 11 categories | |
| Amazon.co.uk | All 11 categories | |
| John Lewis and Partners | All 11 categories | |
| PriceRunner | All 11 categories |
The specialists: punching above their weight
| Seller | Overall share | Category | Share in category | Category vs overall |
|---|---|---|---|---|
| The Perfume Shop | 1.2% | Fragrance | 8.2% | 6.8× |
| Fragrance Revolution Boutique | 0.7% | Fragrance | 4.8% | 6.9× |
| The Fragrance Shop | 0.4% | Fragrance | 2.9% | 7.3× |
| M&S | 0.4% | Beauty accessories | 3.0% | 7.5× |
| Accessorize | 0.7% | Hair | 2.6% | 3.7× |
Key finding
The Perfume Shop holds 1.2% of visibility overall but 8.2% in fragrance, nearly seven times its overall weight.
Part 2
What changes once ChatGPT enters the picture
We ran 300 real UK buying prompts through ChatGPT via Peec.ai, across the same categories, over 9 days.
Three ways to measure visibility
The difference between a merchant and a brand is the key to everything that follows.
Measured with Productrise
Organic shopping grid
The seller shown in Google’s top organic shopping tile.
Measured with Peec.ai
ChatGPT merchant
Who sells the product in a ChatGPT answer. Who gets the sale.
Measured with Peec.ai
ChatGPT brand
Whose product is recommended. Dior sold by Boots counts for Dior; the sale goes to Boots.
How ChatGPT finds products to recommend
ChatGPT runs two searches in parallel for every shopping question:
- A web search for editorial contentEditorial articles and reviews that shape its answer.
- A rewritten Google Shopping queryIts own product search, which decides the cards and merchant shown.
of ChatGPT product cards come from live merchant feeds. The rest come from ChatGPT’s own index and Google’s commercial signals.
Profound analysed over 200,000 ChatGPT shopping prompts and around 812,000 product cards. Breaking down how ChatGPT Shopping works, July 2026.
Why this matters
Every ChatGPT recommendation is a roll of the dice, but you can weight it. Boots and Amazon have, through feed quality, pricing and coverage.
Where Google and ChatGPT are similar
ChatGPT queries Google Shopping, so feed quality counts on both. The same retailer wins both 43.1% of the time.
Where they differ
ChatGPT uses wider signals. Google winners can miss out in ChatGPT, and the reverse.
Two retailers own organic. ChatGPT hardens it.
Amazon and Boots hold the top organic spot in 79% of 103 subcategories. Presence isn’t winning: Superdrug appears in 102 but tops only 3.
Who wins the #1 organic spot across 103 subcategories
| Retailer | Appears in | Wins #1 in | Win rate when present |
|---|---|---|---|
| Amazon | 103 | 50 | |
| Boots | 103 | 31 | |
| Superdrug | 102 | 3 | |
| John Lewis & Partners | 92 | 5 | |
| Lookfantastic | 87 | 1 |
Key finding
Only 13 of 102 subcategories are won organically outside Amazon, Boots, Superdrug and John Lewis. Just 3 carry through to ChatGPT (23%), such as M&S for socks and tights.
When Google and ChatGPT disagree on who wins
Google and ChatGPT pick the same retailer in 43.1% of 102 subcategories. When they differ, ChatGPT most often picks Amazon.
Where the organic winner and the ChatGPT winner differ
| Subcategory | Organic winner | Organic share | ChatGPT winner | ChatGPT share |
|---|---|---|---|---|
| Face rollers / gua sha | Amazon | 28.9% | Beautylish | 13.3% |
| Hair extensions | Amazon | 27.1% | Cliphair | 26.1% |
| Tools | Amazon | 26.8% | Lookfantastic | 13.8% |
| Eyes | Amazon | 20.9% | Boots | 14.5% |
| Suncare, other | Boots | 20.0% | Amazon | 33.0% |
| Exfoliating / scrub | Amazon | 19.9% | Lookfantastic | 20.2% |
| Makeup gift sets | Amazon | 17.5% | Charlotte Tilbury | 23.9% |
| Palettes | Amazon | 17.3% | Boots | 15.9% |
Amazon’s breadth of listings wins from ChatGPT’s wider shopping pool. Winning Google gives you a weighted coin flip in ChatGPT, not a guarantee.
ChatGPT recommends brands whose Google feed isn’t pulling its weight
The opposite of what we expected: 94 brands sell direct in ChatGPT with no matching presence in Google’s organic product tiles.
Brands selling direct in ChatGPT with no organic tile presence
| Subcategory | Brand selling direct | ChatGPT merchant share | Organic tile presence |
|---|---|---|---|
| Sunscreen stick | Beauty of Joseon | None found | |
| Styling tools | GHD Hair | None found | |
| Dry shampoo | Living Proof | None found | |
| Fragrance, other | YSL Beauty | None found | |
| Fragrance, other | Chanel | None found | |
| Cheeks | NARS Cosmetics | None found | |
| Cheeks | YSL Beauty | None found | |
| Eyelash curlers | Charlotte Tilbury | None found |
What this means
The strongest have cult followings, like The Ordinary, YSL Beauty and Chanel, so reputation likely carries them. A stronger Google feed is upside they’re leaving on the table.
Recommended is not paid: only 2 in 100 brands win both
Only 2 of the 98 brands ChatGPT recommends first are also the top merchant: Charlotte Tilbury and La Roche-Posay. ChatGPT says your name; someone else gets paid.
ChatGPT’s #1 recommended brand vs who makes the sale
| Subcategory | #1 recommended brand | Brand mentions | Also #1 merchant? | Merchant at all? |
|---|---|---|---|---|
| Makeup gift sets | Charlotte Tilbury | 150 | Yes | Yes, rank 1 |
| Expert skincare | La Roche-Posay | 31 | Yes | Yes, rank 1 |
| Nails | Essie | 106 | No | No |
| Oral care, other | Oral-B | 86 | No | No |
| Sanitary pads | Always | 80 | No | No |
| Skin type | CeraVe | 51 | No | No |
| Mouthwash | Colgate | 33 | No | No |
| Soap | Dove | 25 | No | No |
Where the sale goes for ChatGPT’s 98 top-recommended brands
- 2 win the recommendation and the sale
- 41 (41.8%) appear as a merchant, but never first
- 55 (56.1%) don’t appear as a merchant at all
Moroccanoil
brand mentions : times it was the merchant
The most recommended haircare brand. Buyers likely complete on Amazon.
The Ordinary
brand mentions : times it was the merchant
Room to capture far more of the demand it creates.
Charlotte Tilbury
recommended brand and merchant
The exception. ChatGPT sends buyers to its own site.
What this means
Without merchant presence, ChatGPT visibility drives sales for your retail partners, not you.
The haircare opportunity
Times Moroccanoil and Olaplex were recommended by ChatGPT, vs times either was the merchant.
The widest gap between recommended and paid. These are household names, so it isn’t awareness. Product data and merchant setup are the likely causes, and both can be fixed.
Haircare is also weakest on Google, where 1 in 8 searches show no shopping results.
“For me, the opportunity is to understand not just where the final transaction happens, but how digital discovery across search, content, social, retailers and increasingly AI contributes to that conversion journey.”
Part 3
One fix, two shelves
You don’t need two strategies. Fix product data once, in this order.
- Optimise your Google Shopping feedAccurate, complete, well-structured product data.
- Mark up on-site contentSo ChatGPT can retrieve and understand it correctly.
- Audit your visibility in ChatGPTAs a brand and as a merchant, not just in traditional search.
The same broken product data costs a seller the sale twice: once on the shopping tile Google shows, and once on the shelf ChatGPT invents.
“Over the next year, the priority shouldn’t be ‘how do we rank in AI?’ but rather ‘how do we make our brand the most relevant answer?’. The brands that connect product data, content, brand authority and commerce will be the ones best placed to turn AI recommendation into commercial value – be that for market cut through or those all important sales.”
What this means for you
Brands selling direct
Fix merchant presence so ChatGPT recommendations convert on your site. Charlotte Tilbury shows it can be done.
Brands selling through retailers
Give retail partners the best product data and pricing. They’re who ChatGPT sends buyers to.
Retailers
Only 23% of specialist wins on Google carry through to ChatGPT. Measure both shelves.
Conclusion
Google and ChatGPT share one foundation: strong product data. Winning one doesn’t mean winning the other, but with visibility this fragmented, smaller and niche brands have a real opening, especially in haircare.
Frequently asked questions
How often do Google and ChatGPT pick the same retailer for beauty products?
Less than half the time. Across 102 UK beauty and personal care subcategories, the same retailer won both the Google organic shopping tile and the ChatGPT merchant slot 43.1% of the time, according to Re:signal’s Beauty and Personal Care Product Discovery Report (August 2026 data).
If ChatGPT recommends my brand, do I get the sale?
Usually not. Of the 98 brands ChatGPT recommended first, only 2 were also the top merchant, and 55 (56.1%) did not appear as a merchant at all, according to Re:signal’s Beauty and Personal Care Product Discovery Report. The sale typically goes to a retailer such as Amazon, Boots or Superdrug.
Which beauty categories are most open in Google organic shopping?
Shaving and hair removal is the least concentrated: the leading seller, Argos, holds 8.9% of visibility and the top three hold 23.4%. Makeup and suncare are the most concentrated, with the top three holding 37.1% and 35.2%, according to Re:signal’s Beauty and Personal Care Product Discovery Report.
Why do some beauty searches show no organic shopping results?
Google shows organic product listings only when it can match a search to products. In Re:signal’s Beauty and Personal Care Product Discovery Report, 9.2% of 5,000 UK search terms returned no listings, and hair had the lowest coverage at 87.4%. Incomplete product data and more informational search intent are the likely causes.
How does ChatGPT choose which products to show?
ChatGPT rewrites a shopper’s question into its own product search, sometimes adding brand names the shopper never typed, and queries Google Shopping alongside its web search. Profound’s analysis of over 200,000 ChatGPT shopping prompts found only about 25% of product cards come from live merchant feeds.
How can a beauty brand improve its visibility in both Google and ChatGPT?
Fix product data once and it helps on both: optimise the Google Shopping feed, mark up on-site content so ChatGPT can retrieve it, and audit visibility in ChatGPT as both a brand and a merchant. Re:signal’s Beauty and Personal Care Product Discovery Report calls this one fix, two shelves.
Methodology and data sources
Data sources
Google: Productrise, run against Re:signal’s 5,000-keyword UK beauty and personal care set, August 2026. ChatGPT: Peec.ai, 300 UK buying prompts in ChatGPT only, 6 to 14 August 2026.
How figures are calculated
Share of voice is weighted by search volume. 460 keywords (9.2%) with no listings are excluded from share of voice but counted in coverage. Price comparison sites are excluded from Part 2 rankings.
Why 102 subcategories, not 103
Razors and blades was excluded because Google’s results were led by Razer.com, a gaming hardware brand.
Full methodology and caveats are in the downloadable report.
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