37% of Beauty Shoppers Use AI Over Google—Adapt Now

AI's Rapid Takeover in Beauty Searches Demands New Optimization

Beauty and cosmetics, a $450B industry, sees 37% of consumers already using AI platforms like ChatGPT, Gemini, Perplexity, and Claude for product searches—far higher than expected for early adoption. Another 27% of UK shoppers complete purchases via AI agents. This shift stems from 80% abandoning traditional Google searches due to irrelevant, generic results. Personalization is the killer app: consumers upload skin photos to ChatGPT for tailored regimens or use quizzes from brands like The Ordinary (skincare matcher for acne, dry skin, aging) and Only Curls (curl pattern quizzes). Charlie Marchant, CEO of Exposure Ninja, notes, "ChatGPT is basically my Bible when it comes to everything in this sector," highlighting how AI delivers what generic SERPs can't.

The opportunity cost of inaction is huge: ignoring AI leaves 37% of the top-of-funnel untapped. Referral traffic from AI platforms is real but requires structured content that ranks in recommendations. Brands must decide between building owned personalization tools or chasing AI visibility—doing both is ideal but resource-dependent.

Personalization Tradeoffs: Owned Quizzes vs. AI Recommendations

Smart brands preempted AI with tools like regimen builders, which funnel users through overwhelming catalogs (hundreds of SKUs). The Ordinary's quiz segments by skin type, concerns (e.g., SPF, anti-aging), yielding personalized stacks plus email nurturing for subscriptions (e.g., retinol top-ups, seasonal SPF pushes). Only Curls mirrors this for hair, matching curl types, oiliness, and dryness.

Decision Framework: For large catalogs (e.g., competing with The Ordinary), invest in owned quizzes—they guarantee brand exposure, reduce overwhelm, and enable segmentation for repeat revenue. Mid-market brands with 5-6 hero products? Skip the quiz; focus on clear navigation and AI optimization. "If you're not in the recommendations, you're not pushing any traffic through from those sites. You're not getting referral traffic from ChatGPT or Gemini, and you're not covering that part of the top of the funnel—of those 37%, that's for now," warns Marchant.

Tradeoffs are stark: Owned tools build loyalty but demand dev resources and traffic to shine. AI recs scale reach cheaply but compete with trusted names (Nivea, The Ordinary); unrecognized brands lose out. Hybrid wins: Structure sites for post-AI conversion (easy product navigation) and layer email automation.

AI Overviews Reshape Google Traffic—Prioritize High-Intent Queries

Google's AI Overviews appear on 36% of beauty queries, often above organic results with product images for comparisons (e.g., retinols, regimens). 45% of beauty marketers report traffic gains post-inclusion, countering SEO debates. Unlike pure AI chatbots, overviews pull from top-10 organics, so existing rankings boost inclusion odds.

Optimization Path: Audit queries for AI Overviews (top/mid/bottom-funnel), prioritize commercial intent (e.g., "best retinol for dry skin"). It's a distinct SEO project: target overview-prone terms where you're top-10, emphasize structured data for images/text. Marchant emphasizes, "If you're in the one to 10 already, you are much more likely to be able to own a position in the AI overview."

This matters for omnichannel: Beauty blends online research with in-store buys (Boots/Superdrug overwhelm with 100+ brands). 20% skip online due to confusing descriptions; 29% visit stores just to read labels. Clear, question-answering PDPs convert online and inform store trips, slashing friction.

Economic Resilience Amplifies AI Priority

The "lipstick effect" keeps beauty recession-proof: UK spend hits £324 avg in 2025 (up from £291 in 2024). Agentic AI (autonomous shoppers) could claim 10-20% of US e-comm by 2030, forcing structural changes now—structured content, PR for authority, omnichannel alignment.

Actionable Steps to Capture AI Traffic

Track AI Sources: Segment Google Analytics for ChatGPT/Gemini/Perplexity referrals.
Prioritize Categories: Niche down (e.g., curl care) over broad plays.
Leverage PR: Third-party mentions (articles, influencers) boost AI rec authority over self-promotion.
Content Structure: Answer specifics (skin/hair types, combos) with images, FAQs; avoid generic fluff.
Omnichannel Fix: Bullet-proof PDPs to cut store-only research (29% waste).

Exposure Ninja's report details sector data; download at exposureninja.com/beauty-ai-search-report.

"Personalization has always been pretty large in this sector... AI is kind of the next level of that because now we can do things like just take a photo of our skin and upload it into ChatGPT and ask for recommendations." —Charlie Marchant, on why AI accelerates existing trends.

"Imagine going into a store... Almost 30% of the people to read the label on the bottle on a shelf instead. What a waste of time." —Marchant, exposing a massive PDP gap driving omnichannel inefficiency.

"The ultimate answer is you want to do all of it. Ideally, you want to be able to build something like that that's a content asset... But if you are competing with a brand like The Ordinary... you're more likely to do well optimizing for AI searches." —Marchant, balancing owned vs. earned visibility.

Key Takeaways

Audit for AI Overviews on 36% of beauty queries; leverage top-10 organics for 45% traffic uplift potential.
Build regimen quizzes only for large catalogs; mid-brands prioritize AI recs via niche content and PR.
Fix PDPs: Clear descriptions cut 29% store-only trips and 20% online abandonment.
Track AI referrals in GA; ignore them and miss 37% of searches, 27% of UK agent buys.
Bet on personalization—uploadable photos/quizzes win; structure sites for post-AI conversion.
Use PR for authority in AI recs; self-links flop.
Omni-channel reality: Online research drives store buys—align SEO/AI with in-store ease.
Prioritize recession-resilient spend (£324 UK avg 2025) via top-funnel AI coverage.
Future-proof: Prep for 10-20% agentic e-comm by 2030 with structured, answer-first content.