Beauty and skincare marketing agency built to earn your brand more mentions
In the sunscreen aisle, a buyer pulls out a phone to check whether a bottle suits oily skin, how strong the active is and whether it's really reef safe.
One sunscreen question, and a brand that fit never got named
Behind the scenes, the AI assistant turned one question into four searches. Here's what decided which sunscreens got named.
- Retailers and advocacy groups explained what reef safe means. Brands didn't.
- The skin-type question came back empty, because no brand said on its own pages which skin it suits.
- A mineral sunscreen that met every part of the question was never named.
is there a reef safe sunscreen that works for oily acne prone skin and does not leave a white cast
mineral sunscreen SPF facial formulation
Mineral sunscreen category guideProduct ingredient panelreef safe sunscreen meaning oxybenzone octinoxate free
Retailer definition pageAdvocacy group explainernon comedogenic sunscreen oily skin no heavy occlusives lightweight finish
Skin type suitability statementNon comedogenic formulation note[Brand B] mineral sunscreen reef safe oily skin reviews
Brand B
Simulated example with fictional businesses, shown to illustrate how one question is answered.
A crowded shelf, no seal of approval, and other people deciding what your claims mean
The shelf is enormous, and the label says nothing, legally, about whether a product works for the person asking. A buyer turning to AI is trying to answer that. AI narrows the field using the facts it can find, so it names the products whose makers put those facts out there.
- 1,298,361
- active cosmetic product listings held by FDA, across 16,398 registered facilities. FDA states that listing does not mean the product is approved.
US Food and Drug Administration, cosmetic product facility registration and product listing data under the Modernization of Cosmetics Regulation Act, as of June 30, 2026. Administrative counts of unique active listings and registrations submitted by industry. FDA states explicitly that registration and listing are neither approval nor endorsement, and that listing data should not be used to suggest FDA approval of a product.
A note on the figure
One number instead of two. We haven't found a study of how often skincare buyers use AI to check ingredients and claims. Two come close. NIQ says 49% of consumers have had beauty recommendations from generative AI (State of Beauty 2026, March 31, 2026). In a Harris Poll of 3,222 adults in the US, UK, Brazil and India, 79% rated AI useful for understanding ingredients (August 18, 2026).
Three reasons AI doesn't name your formulation
The ingredient list is filed. The answer isn't written.
Your INCI list is on the box and in the FDA listing. Then a buyer asks whether the formulation suits oily skin, how strong the active is, or who tested a claim. Those are different facts, and they usually live in a product photo, a PDF, or a line of marketing that describes a feeling instead of a fact. AI can find your ingredient list and still can't answer the question that was asked.
Everyone defines your claim words except you.
Reef safe, clean, non comedogenic, hypoallergenic, dermatologist tested. Several of these have no federal definition. When a buyer asks AI what one of them means, it pieces together an answer from retailers, advocacy groups and magazines, because they wrote definitions down and brands mostly didn't. Your product gets judged against a definition you had no part in.
You're one of nearly 1.3 million products, and AI is being asked to pick.
FDA holds nearly 1.3 million active cosmetic product listings and says plainly that listing is not approval. That's how it looks to the buyer: a huge shelf, no approval stamp, and claim words that mean different things to different people. Asking AI to narrow it down makes sense. The products that get named are the ones whose brands answered that question themselves.
We build product pages that answer what the label hints at and the marketing talks around: your actives and how strong they are, who the formulation is for, and what a claim means when you use it and what backs it.
SEO and AI search services for skincare and beauty brands
Plate Lunch Collective is an AI SEO agency that gets brands named when buyers ask, in search, on social, and in AI. Beauty and skincare marketing built around the questions buyers ask: a page for every product with its actives, strength and who it suits, and claim words we define with you. We make sure your retailer and Amazon listings say the same thing, and pitch the ingredient sites and beauty magazines that cover your category.
AI SEO / GEO
A buyer asks whether a product suits oily skin or is safe for a reef, and the brands named are the ones that answered it themselves.
AI SEO / GEOEntity SEO
Your brand, your parent company and your retailer listings describe the product differently, and the AI assistant picks one.
Entity SEOAnswer Engine Optimization
Dosage, suitability and claim questions get answered somewhere, by a retailer, a magazine or the brand. Answering them on your own site puts the brand's own answer in the running when Google builds its AI answer.
AEOCitation-Ready Content
The INCI list is filed. The line that says how strong the active is and who it suits isn't written.
Citation-ready contentSocial Search Optimization
Many buyers research skincare on TikTok and Instagram, and the apps go by your captions, titles and profile to decide what you're about.
Social searchAI Search Game Plan
What the AI assistants say about your formulations and claims today, and whether they point buyers to you or to a brand with a cleaner record.
AI Search Game Plan
Grew its #1 Google rankings by 51% and its top-3 rankings by 34% through the rollout of Google's AI answers.
Estimated organic traffic held steady at 199,000 visits a month, with an organic traffic value of $6.2 million a year, the equivalent Google Ads spend for the same visits.
Rankings, estimated traffic and organic traffic value from DataForSEO's historical rank overview, October 2026; traffic value is the estimated paid traffic cost for October 2026, annualized, modeled on US searches with Google's CPC estimates. Window: since Google's US launch of AI Overviews on May 14, 2024.
For context, a separate US study found Google users clicked a regular search result on 8% of searches that showed an AI summary, against 15% without one (Pew Research Center, July 2025, browsing data from March 2025, 900 US adults).
How we measure the workWhat do the AI assistants say about you?
Tell us about the business, and the first conversation starts from the answer. We'll come back within one business day.
Beauty crosses borders. The label still has a home
Skincare and beauty brands based in Hawaii, across the mainland United States and Canada, and in the Caribbean and Central America, selling through retailers everywhere and known as one brand.
Questions skincare brands ask
We sell mainly through retailers and Amazon. Does our own site matter for this?
It matters because the retailer listing isn't yours. When AI answers a question about your product, it draws on everything that describes that product online, and retailer pages are written to sell a catalog, not to explain your formulation. The brand that publishes its own specifics gives AI something to quote that came from the source. The retailer page stays. It just stops being the only description out there.
Our claims go through regulatory and legal review. Will this create compliance risk?
Nothing here asks you to make a new claim. It asks you to state on your own pages what you've already substantiated and already say on the box. If a claim survives your regulatory review for a label, it can go on a page with the same language. Where a claim can't be substantiated, it stays off the page, and that's a decision for your regulatory team rather than for us.
How do we know whether the work is doing anything for the brand?
You judge the work by your own orders and stockist inquiries. Before the work starts, we make sure those numbers can be counted and record where they stand, then look at what ChatGPT and Google's AI are saying about you each month and set your numbers beside those starting figures each quarter, whether they've moved or not.
How we measure the workOur ingredient information is in the product images. Is that a problem?
It limits what AI can use. Words inside an image often get missed, so an ingredient panel that only exists as a photo of a box might as well not exist for AI. Keep the images. We'd add the same information as text on the page, especially the actives, how strong they are where you share it, and who the formulation is for.
We are a small indie brand competing with companies that outspend us. Does this favor them?
No. AI is looking for facts to quote, and a small brand with specific, backed-up claims gives it more to work with than a big brand with vague ones. Any brand can be that specific, whatever its ad budget, and an indie brand that knows its formulas well has a real opening.
Is a brand our size big enough for this?
Ongoing work starts at $1,500 a month, and for a brand your size the math starts with one new stockist, or a buyer who keeps rebuying. At that floor, the work is product pages that say what's in each one and who it suits, matching retailer listings and press. We're held to your orders and stockist inquiries from the day we start. The AI Search Game Plan, from $1,500, checks how your formulations come across to a buyer.
AI Search Game PlanFind out where your formulation stands
Right now, retailers and advocacy groups may be the ones explaining your claims to a buyer who asks Google or AI whether your formulation suits them. We'd open with that answer, and the AI Search Game Plan covers Google search and AI answers in six parts, ending with what you can see today and what's missing.