As beauty brands scale across categories and channels, the pressure to deliver smarter, faster marketing has never been higher. As global skincare revenue is projected to hit $198.35 billion and haircare $96.82 billion by 2025 (Statista), brands are racing to keep up in a competitive market. Artificial intelligence (AI) has quickly become essential for beauty brands looking to stay ahead—helping teams cut through information overload, gain clearer visibility across product categories and move faster with data-backed decisions.
At the same time, the beauty space has become increasingly segmented. Skincare, hair care, cosmetics and fragrance each have distinct product cycles, audience expectations and storytelling needs. As brands expand across these categories, it’s no longer effective to treat all campaigns the same.
For beauty marketing and PR teams, sifting through endless media mentions to distinguish a mascara drop from a serum launch can be time-consuming, inefficient and simply exhausting. And even once the right coverage is found, evaluating its impact across fragmented channels only adds to the complexity.
Tracking brand performance at scale requires a category-specific lens: something that’s nearly impossible to manage manually. That’s where artificial intelligence makes the difference. AI helps beauty brands streamline category-level media monitoring, gain deeper consumer insights and react faster in an increasingly competitive landscape.
In this article, we’ll explore how AI is transforming the beauty industry and why it’s becoming essential for any brand looking to lead this space.
Why do beauty brands need artificial intelligence?
Within beauty brands, each category—skincare, hair care, cosmetics and fragrance—often operates as its own “mini-brand,” with dedicated teams, distinct goals and separate KPIs. This structure is essential for growth, but it introduces a clear challenge: how do you measure media coverage, campaign performance and competitor activity by category, without being overwhelmed by data?
PR and marketing teams often had to comb through media coverage and competitor benchmarks manually, just to understand how the brand is performing overall. But when an article mentions a brand like L’Oréal, Estée Lauder or Coty—without clarifying whether it’s referencing a lipstick, cleanser or conditioner—it points to a missed critical insight. That lack of specificity becomes a bottleneck, slowing decisions and clouding category-level performance.
This is where AI in the beauty industry brings structure, clarity and speed to an increasingly siloed ecosystem.
How can artificial intelligence help beauty brands be more efficient?
For brands managing multiple product categories, the volume of coverage, mentions and data points grows fast—and so does the complexity of tracking what matters. Artificial intelligence, specifically AI-powered categorization, helps solve this by doing what manual methods can’t: identifying product-specific mentions, tagging content by category and surfacing insights instantly.
Take a skincare team, for example. Instead of manually filtering through irrelevant makeup or fragrance mentions, they can access insights already categorized by product type—showing what’s performing, where, and in what context.
This level of precision is only possible when AI operates within a platform built for it. Launchmetrics, a leading Brand Performance Cloud, captures and organizes brand coverage across print, online, broadcast and social channels—tailored specifically to the needs of fashion, luxury and beauty brands. Each mention is tied to the Voice behind it—Media, Influencers, Celebrities, Owned or Partners—so teams can easily filter by product category, region or channel. AI helps categorize and structure this data at scale, reducing manual effort and enabling teams to interpret what matters, based on a dataset that’s accurate, consistent and built from a single source of truth.
Implementing AI within the beauty industry: What this looks like in practice
Within the Launchmetrics platform, two metric-focused tools in particular—Discover and Insights—bring this level of visibility to life in powerful, actionable ways. Discover helps brands monitor brand mentions, influencer content and media placements across categories in real time, while Insights transforms that data into visualized dashboards and reports that highlight what’s driving performance and how competitors stack up.
Together, they provide a clear view of what’s working, where and why, with our proprietary metric Media Impact Value® (MIV®). Using MIV, brands can track category-level performance, benchmark against competitors, monitor PR coverage more precisely and uncover emerging global trends.
Let’s see this in practice through the lens of a regional director of a large brand such as L’Oréal.
Use Case: Managing PR & Marketing Performance Between Beauty Categories and Markets
Let’s imagine a regional director at a global brand is overseeing launches across skincare and cosmetics. Their goal is to understand how each category is performing across multiple markets, platforms and Voice types.
When a renowned brand such a L’Oreal has strong global visibility, it’s not uncommon for coverage to reference the master brand without distinguishing between product lines. Naturally, this happens with a brand of this scale. What this highlights is how easily category-level visibility becomes blurred, making it difficult to track what is driving media impact within each category: a serum launch, a lipstick drop or a strategic influencer partnership.
To bring this scenario to life, we’ll use L’Oréal as an illustrative example of the world’s most influential beauty brands. With broad category reach and high media volume, this example offers a powerful lens into how complex brand performance data becomes at scale, and how AI-powered categorization helps make that data more granular and easier to interpret.
Discover: Unlocking Category-Specific Visibility
In Discover, the regional director can monitor brand coverage across global print, online and social media. AI-powered categorization automatically tags each mention by beauty category (eye makeup, skincare, fragrance and more) so teams can easily isolate insights for their specific focus.
Combined with location filters, this allows regional teams to see which product lines are performing where. Whether it’s a skincare campaign in the UK or a makeup launch in Italy, every mention is tied to the Voice behind it: Media, Influencer, Celebrity, Owned or Partner. This makes it easier to understand who’s driving impact across each market.
By layering in MIV, the team can then assign a consistent monetary value to that exposure. From there, they can benchmark categories, compare regional performance and identify which placements and Voices are delivering the most value.
These insights can then be shared through tailored newsletters, reports or coverage books filtered by category, so every stakeholder receives what’s most relevant to their role.
Insights: Benchmarking with Precision
With category-specific visibility in place, the next step is measuring how performance stacks up against competitors. In Insights, the director can benchmark L’Oreal Paris for instance, against others in the same category and region to see how their Share of Voice compares.
MIV can also be used as a KPI to track progress over time—especially useful for spotting seasonal trends or evaluating the success of time-bound initiatives like gifting campaigns, events or new product launches. This clarity enables teams to make smarter decisions around campaign timing and strategy.
And by analyzing top placements ranked by MIV, the director can identify the trends, topics and Voices generating the most media impact. Whether it’s a standout influencer, a strategic media partnership or a viral campaign, Insights makes it easy to see what’s working and replicate that success.
See How AI Can Save Your Team Time and Improve Campaign Results
In a landscape where every product launch, mention and partnership counts, AI doesn’t just save time—it sharpens strategy. For beauty brands navigating a fragmented, fast-paced space, it’s the new standard.
Whether you’re launching a new skincare line, benchmarking a fragrance campaign or tracking global brand mentions across media, Launchmetrics will help your team reduce manual work, stay focused and drive better results. To see it in action, book a demo with one of our experts.
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Book a demo with us today to see how Launchmetrics can transform the way your team tracks, monitors and benchmarks brand performance.
By Launchmetrics Content Team
