Be the brand ChatGPT recommends
Skincare shoppers ask ChatGPT, Perplexity, and Claude to build their routines before they ever land on a brand site. AEO makes you the answer when someone asks for the best vitamin C serum for sensitive skin, a retinol that won't flake them, or which moisturizer dermatologists actually rate.
Trusted by Leading Brands Across Industries
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Skincare discovery is now a conversation
People used to scroll Sephora and watch Hyram on YouTube. Now they tell an AI assistant their skin type, what irritated them last time, and what their budget is. The brands that get named in those answers are the brands that grow.
What is breaking the funnel
Routine Building Moved to AI
Shoppers describe their skin, budget, and concerns to ChatGPT and let it pick the products. If your SKU is not in that answer, your conversion funnel never starts.
Ingredient Vetting Happens Pre-Visit
People paste your INCI list into Claude and ask "is this safe for rosacea." If the model has bad data about your formula, you lose the sale before the product page loads.
Google AI Overviews Eat Your Clicks
Beauty queries trigger AI Overviews more than almost any other category. When the answer lives in the SERP itself, only the cited brands get the visit.
Most Brands Have No Plan
The big legacy labels still chase Sephora keyword rank. The indie brands optimizing for AI right now are the ones models will keep naming for years.
What AEO actually does
Get named in the answer
We restructure your product copy, build the citation surface area models read, fix the data they currently get wrong, and track which prompts mention you across ChatGPT, Perplexity, Claude, and Gemini.
The window is open right now
Most legacy beauty brands are still treating AI like a Sephora ad slot. The indie labels and clean skincare players who do this work now will be cited in models for years to come.
How AEO works for skincare brands
What Answer Engine Optimization means for beauty
AEO is the work that gets your serums, moisturizers, and SPFs named when someone asks an AI assistant for a recommendation. It is the difference between being a SKU on Sephora and being the product an LLM brings up by name when a shopper describes their skin.
What the models are reading about you
LLMs pull from Reddit threads, Substack newsletters, dermatologist blogs, INCI databases, EWG ratings, and beauty editorial coverage. We map the citation graph for your category and make sure your brand shows up cleanly across every source models actually trust.
Routine-building prompts
"Build me a PM routine for combination skin with retinol" is the new product browse. We structure your product pages and editorial content so models can pull your SKU into the right step of the right routine for the right skin type.
Fixing what AI already says about you
A lot of beauty brands have wrong ingredient info, outdated pricing, or stale dupe comparisons sitting in LLM training data. We find what the models currently say about your brand, and we ship the source-of-truth content that overwrites the bad answers.
Beauty AI Search Stats
Skincare is one of the highest-volume conversational AI verticals. Routine building, ingredient screening, and dupe research are exactly the long-form questions models are built to answer.
Best vitamin C serum for sensitive, dry skin under $50? Fragrance free please.
For sensitive, dry skin and a fragrance-free formula under $50, the most recommended pick across r/SkincareAddiction, derm-led reviews, and INCI screens is:
Your Brand — 10% THD Ascorbate Serum
Stable, oil-soluble vitamin C derivative. No essential oils, no fragrance. Cited in Allure's Best of Beauty 2025 and recommended on r/30PlusSkinCare for reactive skin. $38.
2. Another Brand — budget option, less stable formula
3. Drugstore SKU — cheaper, contains fragrance
This is what you could look like in an AI answer
When a shopper asks ChatGPT to pick their next serum, build a routine, or compare two retinols, your brand should be the one named first. That is the work AEO does.
ChatGPT & Claude Picks
Get named when shoppers describe their skin and ask the model to choose products
Perplexity Citations
Be the source link Perplexity attaches to its skincare answers
Google AI Overviews
Appear in the AI summary that sits above the Sephora and Ulta listings
Routine Recommendations
Show up at the right step when AI builds AM and PM routines
Why skincare brands need Answer Engine Optimization
Beauty shoppers describe their skin to AI before they describe it to a brand. AEO puts you in that conversation.
Cited in AI Overviews
Google AI Overviews trigger on roughly half of skincare queries now. We work to get your brand cited inside the summary so shoppers click your site, not Sephora.
Named by ChatGPT
Be the product ChatGPT brings up when shoppers describe their skin type and budget. Skincare is one of the highest-volume verticals in chatbot conversations.
Right Ingredients, Right Routine
Models read INCI lists, EWG ratings, and SkinSafe data. We make sure the AI knows your formula is fragrance-free, retinoid-friendly, or whatever your category needs.
Reddit & Substack Citation
r/SkincareAddiction and beauty newsletters from Hyram, Susan Yara, and Ava Lee are heavy training inputs. We help your brand show up in the places models actually trust.
Future-Proof for Model Refreshes
New OpenAI and Anthropic releases reshuffle which brands get named. We build the persistent authority that survives a model refresh instead of dropping out.
No Per-Click Cost
Influencer fees and Meta ads are getting more expensive every quarter. AEO citations keep working without an ongoing CPM. Once a model is recommending you, the meter stops.
The full beauty AEO stack
Everything a skincare or cosmetics brand needs to become AI's default recommendation, from schema and ingredient data to citation tracking.
Product & Brand Schema
Structured data that tells AI exactly what your serum is, what is in it, and who it is for. Product, Brand, Organization, and Review schema across every SKU.
- Product schema with full INCI list
- Brand schema with founder credentials
- Review and aggregateRating markup
- FAQ schema on every PDP
LLM-Friendly Product Copy
We rewrite product pages so an LLM can extract skin type, concerns, key actives, percentages, and contraindications in one read.
- Skin type and concern mapping
- Active ingredient breakdowns
- Plain-language formulation notes
- Pairing and routine guidance
llms.txt for Beauty Brands
A clean llms.txt at your root that points models to your most authoritative pages, ingredient docs, and routine guides.
- Hand-curated source pages
- Ingredient deep-dive index
- Routine library mapping
- Press and editorial citations
Reddit & Newsletter Surface Area
r/SkincareAddiction, r/30PlusSkinCare, and beauty Substacks are heavy LLM training inputs. We help your brand earn legitimate mentions where models read.
- Reddit citation strategy
- Substack newsletter pitching
- Beauty editor outreach
- Dermatologist write-ups
Ingredient Database Alignment
INCI, EWG, SkinSafe, and Yuka are data sources models pull from. We make sure your formulations are listed cleanly with correct categorization.
- INCI submission cleanup
- EWG profile optimization
- SkinSafe allergen tagging
- Yuka rating recovery
AI Citation Tracking
We run 200+ realistic shopper prompts every month across ChatGPT, Perplexity, Claude, and Gemini and report exactly where you appear.
- Monthly prompt-set testing
- Citation-share dashboard
- Competitor benchmarking
- Wrong-answer fix queue
The beauty AEO partner founders trust
AI optimization built for ecommerce, run by people who know the difference between a niacinamide and a tranexamic acid product.
We Speak Skincare
INCI lists, percentages, pH, comedogenic ratings, double cleansing, retinoid sandwich. We know the lexicon your shoppers and the models both use.
AEO Since 2023
We started testing AI citation work the week GPT-4 shipped. Our beauty prompt sets and tracking dashboards predate most agencies even using the word AEO.
You See the Prompts
You get the actual prompt set we test against, the model outputs, and a citation-share chart. No black box, no vanity metrics.
Dedicated AEO Pod
A senior strategist plus a writer who handles editorial seeding plus a technical SEO who owns schema and llms.txt. Three people on your account, not one.
Plays Nice With Your Stack
Klaviyo, Shopify, Yotpo, Skio, Recharge, your Sephora wholesale ops. Our work overlays on what you already have instead of asking you to swap platforms.
Model-Refresh Resilient
When the next GPT or Claude lands and rankings reshuffle, our authority work keeps you in the answer instead of getting wiped out by a new training cutoff.
of skincare searches now trigger an AI Overview before organic results
How beauty shoppers actually search:
of Gen Z asks AI to pick their next serum or moisturizer
paste ingredient lists into ChatGPT before buying
in annual revenue typically left on the table by indie beauty brands invisible to ChatGPT
Right now, AI is recommending a competitor instead of you
Every day shoppers ask ChatGPT "best retinol for beginners" or "cleansers safe for rosacea." If your SKU is not in the answer, you do not even get to compete on price or formulation. The sale is over before it starts.
See exactly which prompts mention your brand and which name your competitors. No contract needed.
How we get beauty brands cited in AI
A repeatable six-stage system. No quarterly black-box reports, no vague "authority building." You see the prompts, the citations, and the dashboard.
AI Visibility Audit
Week 1We run a custom prompt set against ChatGPT, Claude, Perplexity, and Gemini using the queries your shoppers actually ask. You see where you appear, where competitors win, and what the models currently get wrong about your formulas.
Schema & llms.txt
Week 2We ship Product, Brand, and Organization schema across every SKU and category page, then publish an llms.txt at root so models have a clean map of your most authoritative content.
PDP Rewrites
Week 3-4Product pages get restructured so an LLM can extract skin type, concerns, key actives, percentages, contraindications, and pairing notes in a single read. Plain-language sections that models can quote.
Authority Seeding
Month 2We pitch beauty editors, place your brand into dermatologist write-ups, earn legitimate Reddit and Substack mentions, and fix your INCI, EWG, and SkinSafe entries so the citation graph models read all points back to you.
Prompt Tracking
Month 2+Every month we re-run the prompt set against fresh model sessions and ship a dashboard showing exactly where your brand was named, where competitors took the slot, and which model behaviors changed.
Model Refresh Recovery
OngoingWhen OpenAI ships a new model or Google updates AI Overviews, rankings shift. We watch for those swings, retest the prompt set, and shore up the citation surface before you lose your spot.
Be the brand AI assistants name first
We optimize and track your brand across every major AI platform so you become the go-to recommendation when shoppers ask for skincare picks.
ChatGPT
Perplexity
Claude
Gemini
Grok
Microsoft Copilot
Show up everywhere AI picks products
Routine builders, dupe comparisons, ingredient screens, voice picks. Every surface where AI answers a beauty question is a surface we optimize.
ChatGPT Routine Picks
Be the brand ChatGPT names when shoppers ask it to build an AM or PM routine for their skin type and budget.
Google AI Overviews
Get cited in the AI summary that sits above Sephora, Ulta, and Amazon listings for "best of" beauty queries.
Perplexity Source Links
Earn the cited source slot Perplexity attaches to its answers. Citation drives traffic and trust at the same time.
Ingredient Comparison Answers
Own the answer when shoppers ask AI to compare your serum against a competitor on actives, percentages, and skin compatibility.
Voice & Visual Search
From "Hey Siri, what serum should I use tonight" to AI camera-based shade and swatch matching, your brand stays in the answer surface.
AI Platform Visibility
GrowingChatGPT
Routine recommendations
Perplexity
Source citations
Google AI Overviews
Above organic results
Real AEO results from real businesses
See how our answer-engine work has helped real businesses get cited and recommended by AI search. The same playbook ports cleanly to beauty and skincare ecommerce.
115+ Phone Calls Monthly from SEO
Canadian Cell Phone Repair Business Dominates Local Search with $35K+ Revenue
90+ Monthly Seller Calls from Organic Search
Missouri Home Buying Company Generates $70K+ Business Through Strategic SEO
Doctor Becomes Best in Dubai with SEO
UAE Sexologist Gets 130+ Monthly Calls with 1,519% Organic Traffic Growth
See more case studies from across the agency
View All Case StudiesReady to grow your beauty ecommerce business?
Schedule a free consultation to discover how we can achieve similar results for your business.
Get Free ConsultationWhat to expect from beauty AEO
AEO is not a one-month spike. It is an asset that compounds through every model refresh. Here is what the first 24 months usually look like.
Audit and groundwork
We test a full prompt set across ChatGPT, Claude, Perplexity, and Gemini using the queries your shoppers actually ask. Then we ship schema, llms.txt, and the first PDP rewrites.
First citations land
New PDPs and ingredient pages start getting picked up. Perplexity is usually the fastest mover, with first source-link citations landing in week 5 to 8 for most beauty brands.
Citation share compounds
ChatGPT and Claude catch up as their indexes refresh. The brand becomes a regular answer to routine-building and ingredient-screening prompts in its category.
Category authority
You become the brand AI brings up by name in your concern category. Model refreshes do not knock you out because the authority signals are deep and consistent.
Citations compound, ad spend resets
Once a model is recommending your brand, the next training cycle tends to keep doing it. Compare that to a Meta budget that hits zero the moment you pause the campaign.
Trusted by businesses across industries
Don't just take our word for it. See what our clients say about partnering with KeyGrow for their Google Ads campaigns.
Based on 50+ client reviews
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"I really like working with KeyGrow team, professional and polite and is extremely responsive. I'm glad that I chose them out of all of the other listings. They have a very good understanding of real estate PPC campaigns."
Mallie
Home Buyer Company
"KeyGrow has been a great help in managing our Google ads account for two businesses that we own. He always responds quickly and is a pleasure to work with!"
Michael Belmont
Energy Provider
"Very responsive, delivered work with a high quality standard. Already completed multiple projects together"
Marcel
B2B Product
"KeyGrow's expertise and dedication in managing our Google Ads PPC campaigns helped us achieve impressive ROI. Highly recommended professional!!"
Jones
Legal Services Firm
"Very good communication and understood business so was able to add some value insights."
Drew Deleon
Realtor
"Great company to work with!!"
Michaella Grassi
Real Estate Agent
"KeyGrow has been working on google ads for my website and he has done a fantastic job it has increased my revenue to roof. Thank you"
Sam
Ecommerce Store
"As always KeyGrow is amazing to work with!"
Grace Kouassi
Real Estate Home Buyer
"KeyGrow's communication and fresh ideas stood out. Junaid is the best Google Ads expert we've worked with, boosting our business."
Jessica
Car Detailer
"KeyGrow fixed my Google Ads quickly and professionally. Their patience and effectiveness impressed me. Very happy with the results."
Rob Wetmore
Martial Arts Instructor
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The prompts we optimize for beauty brands
We map the actual queries skincare shoppers type into ChatGPT, Perplexity, Claude, and Gemini, then build the citation surface that gets your brand named in the answer.
Best-of by Skin Type
The most common beauty prompt shape across every LLM
Routine Building
AM and PM routines built around the shopper's skin
Ingredient Education
Shoppers asking AI to teach them before they buy
Brand Comparison
Direct head-to-head queries shoppers ask before checkout
Allergy and Concern
Screening prompts where ingredient data wins
Your custom prompt set
Every brand we work with gets a tailored set of skincare prompts mapped to skin types, concerns, and price tiers in your specific category. You see the prompts, the model outputs, and the share-of-citation chart.
Frequently asked questions
The questions beauty founders ask us before they sign on for AEO work.
Perplexity is usually first. Source-link citations for niche prompts often land in week 5 to 8 once the new content and schema are indexed. ChatGPT and Claude lag because their indexes refresh slower, so consistent name-drops in routine-building or best-of prompts typically show up in month 3 to 5. Google AI Overviews sit in between and tend to move once enough authority signals are in place.
Still have questions?
Talk to Our TeamReady to be the brand AI names? Start with a real audit.
A free citation audit that shows exactly where your brand appears (and where it does not) in ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. You see the prompts, the outputs, and the gaps.
Citation Snapshot
Where AI names your brand right now, and where it does not
Competitor Gap
Which beauty brands win the prompts you should own
Custom 90-Day Plan
The exact moves to flip the prompts in your favor