Illustrative still life of unbranded lipsticks, powder compact and swatches
Beauty GEO · Makeup

GEO for makeup brands: be the shade AI recommends

Makeup prompts are about shades, finish and wear — "long-wearing foundation for deep skin tones", "mascara that doesn't smudge on oily lids". BeautyGEO turns shade ranges and wear tests into facts AI can read, and keeps them identical on every retailer.

What shoppers ask AI about makeup

> Long-wearing foundation for deep skin tones
> Clean mascara that doesn't smudge on oily lids
> Concealer for dark circles on olive skin
> Transfer-proof lipstick that isn't drying
> Best setting powder for oily skin

What AI checks before it recommends a makeup product

What the AI needsWhy it mattersWhat we do
Shade range and undertones"For deep skin" or "olive undertones" decides the answerShade count, depth and undertone data in text, not only swatch images
Finish and coverageMatte, dewy, sheer, fullStated consistently across site and listings
Wear and transfer claimsRepeated by AI — and challenged by reviewersTest type and duration stated next to each claim
Ingredient filters"Fragrance-free", "vegan", "cruelty-free"Only with certification or substantiation, named precisely
Identical facts on every shelfShade names and counts drift between retailersOne canonical shade list pushed everywhere

Claims watch

  • US: colour additives must be approved for their intended use — some are not permitted around the eyes. "Clean" has no regulatory definition, so say what you mean.
  • EU and UK: claims follow Regulation (EU) No 655/2013. The EU restriction on intentionally added microplastics (Regulation (EU) 2023/2055) phases in for cosmetics, with the longest transition for make-up.
  • Wear claims: "24-hour" or "waterproof" claims need test support; AI repeats them word for word.
  • For AI: a precise shade-range statement ("40 shades, 14 deep, warm/neutral/cool") is far more quotable than "for every skin tone".

Regulatory points are general background, not legal or regulatory advice; final claims and labelling decisions stay with you and your regulatory adviser.

How a makeup GEO programme runs

01

Baseline

Makeup prompts by product type, skin tone, finish and concern.

02

Product facts

Shade lists, undertones, finish, wear tests and ingredients in one record per product.

03

Claims review

Wear, transfer and "clean" wording checked for support.

04

Answer pages

Shade-matching and finish guides written answer-first.

05

Shelf consistency

Retailer shade names and counts aligned with your site.

06

Independent trail

Makeup-artist and editorial sources — earned.

07

Re-test

The same prompts every month on ChatGPT, Gemini and AI Overviews, Perplexity, Claude, Copilot and Grok — raw answers, not just a score.

Pricing

  • Free AI snapshot — 3–5 of your shoppers' prompts on four engines, unedited answers in 3 business days.
  • Brand GEO — $1,500/month (3-month minimum) — 50 prompts, up to 20 products, claims review, retailer consistency.
  • Brand GEO + Digital PR — $3,000/month — adds digital PR, a third-party source map and category exclusivity.

Full pricing → · All brand categories → · What is Beauty GEO? →

See which makeup products AI recommends today in your category: free AI snapshot.

Frequently asked questions

Can AI read our swatch images?
Sometimes, but not reliably. We add shade, undertone and depth data as text and structured data so it does not depend on image reading.
Do you work with indie makeup brands?
Yes — especially brands with strong shade ranges or wear performance that AI answers do not yet reflect.
Can you guarantee ChatGPT will recommend our product?
No. AI answers change with wording, model version and time. We commit to the work and to transparent measurement with the raw answers.
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When people ask AI what to buy, be the beauty name it recommends.

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