From AI search to traditional search – discover the complete beauty landscape
Beauty & Personal Care Market Intelligence
Updated weekly, explore the latest beauty dashboard across AI and traditional search, alongside weekly insights highlighting the biggest market movements, emerging trends and standout performers.
Beauty and Personal Care Sector Intelligence methodology
Pi’s Beauty and Personal Care Sector Intelligence uses a representative dataset of beauty searches and AI conversations to show how consumers discover, compare and evaluate brands and products.
The dataset covers informational, comparative and transactional questions across major beauty categories. It is designed to reflect the directions a consumer’s research can take rather than relying on a small collection of isolated keywords or prompts.
- Markets: UK & US
- Search environments: Google Search and Google AI Mode
- Categories analyzed: Eyes | Face | General, Accessories & Gifts | Lips | Nails
- Search dataset: Long-tail informational and transactional queries reflecting beauty discovery, product comparison and purchase behavior
- Conversation dataset: Questions covering products, ingredients, routines, individual needs, brand comparisons and recommendations
- Dashboard refresh frequency: Weekly
- Market insights publication: Weekly
Want to know how your brand performs?
Explore how your brand ranks across traditional search, AI visibility and brand health signals within the beauty and personal care sector, alongside your key competitors inside the Pi platform.
Explore market leaders by industryExplore market leaders across related industries to understand how brands perform across different sectors and where new opportunities are emerging.
Explore market leaders across related industries to understand how brands perform across different sectors and where new opportunities are emerging.
Beauty industry reports and market analysis
Alongside live beauty industry statistics and personal care statistics, we publish detailed beauty industry reports exploring demand trends, competitive positioning and AI search visibility shifts.
These reports provide structured insight into beauty industry trends and market dynamics, helping brands, agencies and analysts understand performance across the beauty and personal care sector.
Explore all sector and market analysis reports →
Beauty insights across the product-discovery journey
Beauty discovery happens across search results, shopping features, publishers, creators, social platforms, videos and AI-generated conversations.
A consumer might begin with a concern or desired outcome, investigate ingredients and routines, compare products and brands, look for trusted reviews and then ask an AI platform for a recommendation.
Pi connects traditional search performance with AI search intelligence so beauty teams can understand where their brand appears, which competitors are gaining attention and which sources influence purchasing decisions.
Connect traditional search with beauty AI visibility
Traditional search remains an important foundation for beauty discovery. Product, category and educational content must be accessible, relevant and trustworthy before it can perform consistently across the wider search landscape.
However, a beauty brand with strong Google visibility may not receive the same level of attention within an AI-generated answer.
Pi helps beauty teams compare:
- Traditional search Share of Voice and market position
- Presence in Google AI Mode and AI Overviews
- Mentions and recommendations in ChatGPT, Perplexity and other supported AI platforms
- The retailers, publishers, communities and creators cited as sources
- Brand sentiment across AI-generated answers
- Competitive visibility across different stages of beauty discovery
This reveals whether established search leaders retain their position in AI discovery or whether digitally native and emerging beauty brands are gaining greater conversational presence.
Map the conversations shaping beauty purchases
Beauty consumers rarely ask one question in isolation. A broad question about a concern or product can develop into a detailed conversation about ingredients, suitability, routines, results, ethics and price.
A journey might develop as follows:
Identify a need → understand the options → compare products → evaluate brands → validate the choice → purchase
Pi’s Conversation Mapping helps beauty teams identify the questions surrounding these journeys and understand where their brand remains present or drops out.
This can reveal whether a brand appears during early product research but disappears when consumers ask about ingredients, skin types, expected results, sustainability, value or alternatives to a competitor.
Identify the beauty prompts worth monitoring
Effective AI measurement should begin with the consumer’s need and the wider conversation it creates, not an arbitrary list of product prompts.
Pi’s AI Prompt and Keyword Research helps teams build representative conversation sets around concerns, routines, products, ingredients, audience requirements, brand comparisons and purchase decisions.
These sets can combine traditional search demand with the follow-up questions generated within AI conversations.
Read our guide to choosing which prompts and conversations to track.
Turn beauty search trends into competitive intelligence
Historical search-demand data shows how interest changes across beauty products, concerns, routines and categories.
Combining this demand data with weekly Share of Voice and competitor movement helps beauty teams understand:
- Which product categories and consumer needs are attracting interest
- Which brands and retailers are benefiting from changing demand
- Where competitors are gaining or conceding visibility
- How beauty search behavior differs between the UK and US
- Where changing demand creates content and category opportunities
This gives marketing, ecommerce, SEO and consumer-insight teams a shared view of how demand connects with competitive search performance.
Measure beauty brand trust, mentions and sentiment
A beauty brand can appear frequently in AI-generated answers but still be associated with a weak, mixed or inaccurate narrative.
Pi’s AI Brand Monitoring and Sentiment enables teams to select their own brand or individual competitors, compare positive, neutral and negative mentions, and investigate the cited sources influencing each narrative.
This helps reveal whether a brand is associated with the products, benefits and values it wants to own and where stronger evidence or clearer information may be needed.
Understand how AI chooses beauty brands and sources
AI systems draw on information available across a wider source ecosystem. For beauty discovery, this can include brand websites, retailers, publishers, reviews, communities, creators and videos.
Pi reveals which domains and pages are cited, what information they contribute and whether those sources support your brand or a competitor.
These citation doorways help teams determine whether they need to improve product information, explain ingredients more clearly, strengthen expert content or earn visibility through an influential third-party source.
Track beauty products across the evolving search results
Beauty visibility is not created by standard organic results alone. Shopping features, images, videos, AI Overviews and other search experiences influence which brands and products consumers discover.
Pi’s SERP Feature Tracking shows where these features appear, which brands and domains hold them and where opportunities exist beyond a standard organic listing.
Teams can also use Pi’s YouTube Rank Tracker to monitor branded and third-party videos across important beauty searches.
Create beauty intelligence around your market
The public dashboard provides a cross-market view of selected beauty categories. Inside Pi, teams can create datasets around their own commercial priorities.
- Beauty, cosmetics, skincare and personal care brands
- Product ranges, concerns, ingredients and category hierarchies
- Makeup, skincare, haircare, fragrance, personal care and beauty technology
- Direct competitors, retailers and emerging brands
- Traditional search terms and AI conversation groups
- Google, ChatGPT, Perplexity and other supported search environments
- Brand mentions, citations, sentiment and source influence
- Shopping results, images, videos, AI Overviews and other SERP features
The result is a clearer view of beauty performance throughout research, comparison, recommendation and purchase.
Explore the Pi platform
Understand your beauty brand’s performance
Compare your brand with beauty and personal care competitors across traditional and AI search. Identify changes in consumer demand, product visibility, brand sentiment and the sources influencing beauty discovery.
