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Reports/Setting Powder

Category AI Visibility Report

Setting Powder 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

≈7,178

Est. AI queries / month

24

Buyer topics monitored

10

Brands on the AI shelf

Key insights

  • Over the last 30 days, GEOly monitored 24 buyer topics in Setting Powder across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 7,178 AI queries per month.
  • Laura Mercier leads the AI shelf with 18.1% of brand mentions, followed by Hourglass Cosmetics (9.9%) and Maybelline (5.1%). The top three hold 33.1% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
  • The highest-demand topic is “setting powder vs face powder” (top keyword “setting powder vs face powder”, ~880 searches/mo).
  • AI answers lean on allure.com most (27.7% 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).

#BrandAI mentionsShare
1Laura Mercier2,18318.1%
2Hourglass Cosmetics1,1959.9%
3Maybelline6145.1%
4Kosas5834.8%
5Huda Beauty5204.3%
6Charlotte Tilbury5134.3%
7NARS4733.9%
8Fenty Beauty3843.2%
9bareMinerals3833.2%
10Wet n Wild3492.9%

What shoppers ask AI

Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.

TopicEst. AI queries / moTop keywordSearch volume / mo
setting powder vs face powder≈1,236setting powder vs face powder880
under eye setting powder≈1,234undereye setting powder1,000
Setting powder for under eyes≈1,188undereye setting powder1,000
setting powder for dry skin≈1,180best setting powder for dry skin1,000
setting powder for foundation≈1,172setting powder for foundation1,000
Setting powder for concealer≈1,168setting powder concealer880
banana setting powder—banana powder setting powder1,300
setting powder for mature skin—best setting powder mature skin1,900
talc-free setting powder—talc-free setting powder6,600
setting powder vs setting spray—setting spray versus setting powder2,400
blurring setting powder—blur setting powder1,300
translucent setting powder—laura mercier's translucent loose setting powder49,500
setting powder for oily skin—oily skin setting powder9,900
setting powder vs finishing powder—finishing powder vs setting powder2,900
Setting powder for under eye—undereye setting powder1,000
Affordable setting powder—inexpensive setting powder1,000

Sources AI cites in this category

Root domains AI engines cited most when answering category queries in the last 30 days.

DomainCitationsShare
allure.com61327.7%
reddit.com57426%
glamour.com1848.3%
marieclaire.com1315.9%
lorealparisusa.com1024.6%
lauramercier.com954.3%
whowhatwear.com934.2%
makeup.com391.8%

FAQ

Which brands do AI assistants recommend most for setting powder?

Over the last 30 days the top brands by AI mention share are: Laura Mercier (18.1%), Hourglass Cosmetics (9.9%), Maybelline (5.1%), Kosas (4.8%), Huda Beauty (4.3%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.

How many people ask AI about setting powder?

GEOly estimates ~7,178 AI queries per month in this category across 24 buyer topics, led by “setting powder vs face powder”.

Which sources do AI engines cite for setting powder?

The most-cited domains are: allure.com, reddit.com, glamour.com, marieclaire.com, lorealparisusa.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.

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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.

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