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A “paws” for thought: why beauty brands are investing more into pet care

Pet grooming has historically sat in its own ‘lane’, often associated with vets or smelly pet shops, and being a fairly practical and utilitarian affair. However, something has changed in the last few years, pet grooming, with a focus on dogs in particular, has become an area we’re seeing more and more well known beauty or fashion houses expand into – and frankly, we’re not actually that surprised.

Beauty is famous for category creeping

Over the last decade, beauty brands have been category creeping, taking over almost every adjacent space that could be considered relevant – from wellness categories like supplements to homeware fragrance, it was only a matter of time before brands noticed this untapped category and realised their demographic are also pet owners and looking for more luxurious alternatives to make their pets smell and look as good as they do.

Over the last few years we’ve seen a surprising amount of well-known brands, across a range of budget and brand ethos’ enter the pet/dog grooming space. From designer brand Dolce & Gabbana, haircare specialists OUAI, fragrance specialists Jo Malone London and sustainability focused brands like Green People and Faith in Nature all offering some kind of elevated dog grooming shampoo, conditioners or perfumes.

And it would be amiss not to mention the retailers stocking these products too- online beauty retailers Lookfantastic, Cult Beauty (both THG-owned) and Feelunique all added pet care to their lifestyle offering, and this also proved to be a success for these brands. Taking Lookfantastic as an example, who led the way with this offering, they saw dog shampoo searches jump 38% over three months after entering the category in 2021.

Rituals dog spa collection

Some beauty brands brands taking the dog grooming leap

OUAI, the trailblazer here with its Fur Bébé dog shampoo, on the more luxury end of the price spectrum priced at £28 per bottle, launched as a limited-edition SKU back in 2018, well before this became a trend. It’s a sign that this dog grooming trend has been quietly building for a good few years now.

Jo Malone London, one of the newer brands to enter the dog grooming block this month, took the formulation route, partnering with British pet-care specialist WildWash with its Orange & Cedarwood dog shampoo, priced at £18. It produces a scent lifted straight from its signature fragrance language and then applied to an entirely new customer- our fury, four-legged kind!

Rituals is the latest and arguably most ambitious brand to enter the category. Launched this September, Rituals Dog Care debuted with not just one but seven products: a shampoo, dry shampoo, paw balm, mouth spray, detangling spray, air & fabric freshener, and a dog perfume. The range is completed with an adjustable collar, dog ball and a portable water bowl, alongside two curated gift sets available to buy. It’s a striking level of commitment from a brand best known for candles and body care- a clear signal that Rituals sees dog grooming as more than a passing marketing moment!

And then there’s Dolce & Gabbana, which pushed the crossover furthest of all with Fefé, an £83 fragrance made specifically for dogs. Beauty’s luxury-pricing logic applied, almost provocatively, to a market that’s never had a “designer” tier before.

It was only a matter of time

Alongside the fact that the beauty industry is pretty brazen with its category creeping, there are three other factors that play into the rise of the beauty dog grooming trend:

Skinification:

The same ingredient-transparency mindset driving human skincare (targeted formulas, active ingredients, the want to “know what’s in it”) is being applied to coat and skin care for pets.

Pet humanisation

Dogs are increasingly treated as family members whose self-care routines mirror their owners’. Owners spend more on their dog grooming than they spend on their own hair cuts and if you’re doing a five-step evening routine, then why shouldn’t your dog get one too?

Premiumisation

Pet care has traditionally been a value category but beauty brands see white space at the top of the market that few have claimed yet, until now.

Tread carefully

While most are loving this niche trend becoming more popular, it isn’t all positive. Dolce & Gabbana’s Fefé drew criticism from the RSPCA, a reminder that crossing into an animal-welfare-adjacent category may carry reputational risk, especially if it reads as opportunistic rather than genuine.

The brands that have landed well here are Jo Malone with an established pet grooming partner WildWash, OUAI that has garnered years of quiet credibility and the likes of Faith in Nature whose formulations are natural, specifically formulated for dogs and cruelty free. These brands appear to be treating the category as a real formulation challenge, not just another marketing stunt.

What does it mean for brands and marketers?

This is a great example of testing just how far a brand’s offering and credibility can stretch before it starts to lose shape. Fragrance houses moving into scent-led grooming makes intuitive sense, just as a skincare brand extending into ingredient-led pet coat care can feel like a natural next step. 

But there’s a lesson here for any brand considering a move into an adjacent category, whether that’s pet care or something else. The extension needs to have a credible link back to what the brand is already known and trusted for. A cute product shot might grab attention, but it won’t create credibility and sales on its own.

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Why the way you measure influencers might be failing you

Your latest campaign report lands but the numbers look thin.

Twelve creators, 400,000 views and the discount code was redeemed 38 times.


Somewhere in the gap between that reach and that revenue sits the conversation that every beauty marketer has had with their finance director who wants to know what the budget actually bought.

Here’s what we typically find happens in that gap.

Why beauty buying doesn’t follow the click

Beauty shoppers rarely buy on first sight. They see a product once in a get-ready-with-me video on socials, then again in a dermatologist’s explainer, then a third time in a comparison video where someone they trust puts it next to the thing they already own. Trust in skincare matters and it builds slowly because the purchase carries a risk- a £45 serum that reacts badly costs the customer more than just the £45.

The research the consumers do outside of seeing the product placements happens in places analytics tools cannot see.

Think about the TikTok comments section where people report how the product behaved on their skin type. Or a Reddit thread comparing it to the cult favourite. Even a screenshot you’ll never see dropped into an encrypted WhatsApp group with “has anyone tried this?”

Each of those touchpoints moves the sale forward but none show up in a report as a session, a source, or a click.

Despite this, the way we measure ‘performance’ has barely moved. The Influencer Marketing Hub’s 2026 Benchmark Report found 45.9% of brands still rely on promo and discount codes as their primary way of tracking creator performance. While these codes work beautifully for people who buy within 48 hours, they miss almost everyone else.

woman browsing on phone

Here are four things that can help prove their value

From our work with influencers, we’ve seen that creator activity pays back in four different areas, and each one needs its own metric. Report all four together, and you have a channel you can defend to any naysayers during your next budget meetings.

Is it converting?

Probably the easiest of the lot- start with the revenue you can trace. Discount codes, affiliate links, TikTok Shop checkouts and creator-allowlisted ads all produce clean numbers, and you should track every one of them. The mistake we can make is treating that figure as the total when really it’s just the beginning.

Allowlisting (previously known as whitelisting, a term the industry has largely dropped) is when a creator grants a brand permission to run paid ads directly from the creator’s own social handle. Instead of the brand reposting or repurposing the content under its own account, it gets access through the platform’s ad tools- Meta’s Partnership Ads or TikTok’s Spark Ads, for example, to boost the creator’s organic post as a paid placement. The ad still carries the creator’s name, face and engagement history, but the brand can apply its own targeting, budget and optimisation to it. And because it runs through the standard ads platform rather than a simple repost, performance is fully trackable end to end.

Because of this, allowlisted content is where most of the traceable money now sits. Brands are running more creator-generated ads year on year, pushing organic creator posts into paid placements where the targeting and the tracking both behave properly.

If your creator budget currently produces no trackable revenue at all, we can help you fix that before going near the harder forms of measurements, like vanity metrics.

Vanity metrics

Two to six weeks after a burst of creator activity, several things tend to move before revenue does: branded search volume, direct traffic, saves and shares, and the volume of user-generated content and reviews mentioning the product.

Branded search is the most useful of those, partly because it costs nothing to check and is very hard to fake. Set a baseline in Google Search Console before the campaign starts, then watch for lift in searches combining your brand name with the product.

Saves and shares deserve closer attention than likes, since somebody saving a video intends to come back to it. A report from Traackr’s 2025 data found nano creators drove a 35% rise in save and share rates, so smaller partners often generate the strongest intent signals even when the view counts may look unremarkable. We often recommend a variety of nano, micro and macro influencer activity for optimal influencer effectiveness, depending on the budget.

Compounding results

The slowest return is also the biggest one. Creator content keeps working long after the campaign window closes, because it has become part of how beauty products get discovered at all. So, if you look at your initial conversions and your vanity metrics and feel a bit down about the numbers, remember this content isn’t going anywhere. It’s now a part of the tapestry for people making related searches to your brand and product.

YouTube content appeared in 78% of Google AI Overviews for product comparison searches, according to a recent report. Novi’s study of 10.7 million ChatGPT citations between January and May 2026 found Reddit is the single biggest source ChatGPT draws on for beauty recommendations, ranking above Sephora and Allure. This data matches perfectly the data Foundation also reporting in our beauty AI SEO guide available here.

So when a shopper asks an AI assistant which vitamin C serum suits sensitive skin, the answer is assembled partly from creator videos and community threads your brand paid to start. A video posted in March is still earning its fee in November.

Make your research primary

Everything we’ve talked about is evidence more than proof, and proof needs a test.

The simplest test you could do is a post-purchase survey asking new customers how they heard about you, with individual creator names as options instead of one “social media” catch-all. Self-reported data is imperfect, but it still surfaces influence that no tracking pixel will ever be able to.

A regional holdout goes further. Run creator activity across most of the UK, deliberately hold it back in one comparable region, then measure the sales difference between them.

That gap is your incremental impact. Design one that stands up to matched regions, a long enough window, and clean baseline data, for example. But this is where it can get technical and a bit more complex. Speak with us if you are looking at your influencer activity and struggling to prove their value, because this is exactly the kind of thing that our teams can support you with.

creative meeting

Four things to set up before your next creator brief

None of the above suggestions require fancy platforms or a bigger budget. But it does require you to think more strategically. Before the next round of contracts goes out, think about:

  • Adding a “how did you hear about us?” question to your post-purchase flow, with creators listed by name rather than lumped under social.
  • Take a branded search baseline in Google Search Console now, so there’s something to compare against in three months.
  • Agree on the reporting window that goes further than just the month or two.
  • Brief creators on the language their audience actually search and ask, rather than your own campaign slogans.

The first two you could do this afternoon. The second two change how the whole programme gets judged, which is the harder but more valuable shift.

Give creator activity a fair trial length

Beauty brands that cut influencer budgets usually do it after judging a channel over two weeks that really pays back over six months. The activity gets pulled, discovery slows a quarter later, and nobody joins the two events up because the reporting never spanned long enough to show the link.

Measuring across these four areas takes more setup than reading a code redemption report, but it gives you something far more useful: a defensible case for the budget, and a clear view of which creators genuinely have impacted your brand awareness rather than simply posting about it.

Your best-performing creator of last year might be sitting at the bottom of your spreadsheet right now, for no reason other than the metric you judged them on.

We’d love to hear from you, get in touch today and we’ll have a member of our social and influencer team audit your current campaigns and how effectively you’re measuring them.

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Beauty digital PR: why real stories earn the coverage AI-written pitches never will

If you type “best retinol for sensitive skin” into ChatGPT then you’ll get a shortlist of five or six brands by name. No sponsored row, or shopping carousel, and no way to bid your way onto it. Beauty has always run on somebody else’s recommendation: the friend who won’t stop talking about a particular serum, the beauty editor whose verdict you really trust, the Reddit thread you read doom scrolling at 11pm, or the pharmacist who pointed you towards the £6 version.

That AI recommendations are now doing the same job at this, but at scale. This means the job for beauty marketers has changed scope- how to get your brand or product to rank for a particular keyword or key phrase now matters less than being recommended in the answers.

Beauty shoppers are always asking someone else

The beauty category has never been a simple solo or impulse decision. People ask before they buy, and they ask because the stakes feel more personal with greater consequences – for example, will your skin breakout? A foundation shade or an acid that might wreck your barrier, a £48 serum you’ll be living with for three months but has reacted badly to your skin.

These discovery and purchasing habits are now colliding with a big change in how search works. Pew Research Centre found in July 2025 that when Google showed an AI summary, users clicked through to a traditional result only about 8% of the time, down from 15% when no summary appeared. The beauty industry feels this faster than most sectors because so many beauty queries are advice-shaped rather than navigational. Like, does this work on 4c hair? What’s serums are safe to use in pregnancy? Is the e.l.f. contour dupe as good as the original? An AI answer handles all of these queries in one go, and the researcher never clicks through, they never actually reach your product page.

The money involved makes it worth paying attention to. The British Beauty Council’s Value of Beauty 2026 report put the industry’s contribution to the UK economy at £28.3 billion in 2025. A meaningful slice of that gets decided before anyone lands on a website at all…

What AI reads when it builds a beauty shortlist

Editorial coverage is the raw material

Muck Rack and Generative Pulse’s 2025 “What Is AI Reading?” analysis found that more than 95% of links cited in AI answers were unpaid, and around 85% of those were earned media. Ahrefs, looking at 75,000 brands in 2025, found that branded mentions across the web correlated with AI Overview visibility at 0.664, which is a strong relationship by any standard.

Read that through a beauty lens and it’s pretty obvious.

The brands appearing in AI answers are the brands appearing in the likes of Cosmopolitan UK’s best-of roundups, in Get The Gloss ingredient explainers, in Refinery29 reviews and Which? Reviews testing.

Your paid social spend does not feed that machine. Your owned blog barely does.

Earned coverage does, which is why digital PR has quietly become a visibility channel rather than a brand-awareness nice-to-have it once was.

Beauty editors can tell when a pitch was written by a robot

Time pressure is a huge reason why AI-generated press releases may seem tempting. But the trade-off is worse than most people assume. Medianet’s 2026 Australian Media Landscape Report surveyed over 800 journalists and found 78% said AI-generated pitches lowered their trust in PR content, while 48% reckoned they could almost always spot an AI-written pitch.

Bare in mind, the same report found that 86% named press releases as their most-used story source, so the channel still works but it needs to be human-led. A features editor at a national paper who has had four generic “revolutionary skincare breakthrough” pitches from you is not opening the fifth, and no amount of volume will fix that, the interesting, unique angle will.

The angle is the thing AI can’t invent

Language models produce statistically likely phrasing, that’s why every AI-written beauty release reaches for the same vocabulary. Like revolutionary, game-changing, transformative, clinically proven or glow type phrases. Editors have read those words nine hundred times this month… and with the latest developments on watermarks in text, it’s only getting easier to prove this.

What earns coverage is material that only you have. Sales data showing a 300% spike in searches for barrier repair products after a particular TikTok trend, or your formulation chemist explaining why a trending ingredient doesn’t do what the internet says it does. Independent consumer research on how women over 45 actually shop, or a founder story with a real reason for existing behind it – these stories stand out.

Strong beauty digital PR is built on assets like these because they give a journalist something to write and therefore gives an AI something to cite. Ask yourself “what does your brand know or do that nobody elses does” then build the story out from there (rather than starting with the product).

Human PR writer

A 20-minute test you can run before your next meeting

Here’s something to try – open ChatGPT, Gemini and Google’s AI Overviews and ask each one the questions your customers may ask. “Best affordable vitamin C serum UK” “what should I use for postpartum hair loss” “cruelty-free foundation for oily skin”

Then check three things:

  1. Is your brand named at all?
  2. Which publications are being cited in the answers?
  3. Are your closest competitors there, and what coverage put them there?

That citation list is a media target list someone else has already built for you. It tells you exactly which titles carry weight in your category, which is a far better starting point than a bought media database.

Where this leaves your PR plan

AI belongs in your PR workflo- use it to summarise research, tidy a media list, spot a trend early or proof a draft at 6pm. Hand it the parts of the job that were never the valuable bit.

You should be keeping the angle, the data interpretation and the journalist relationships firmly human, because those are the elements that turn a story into coverage and coverage into citations.

The beauty brands winning visibility right now are not the ones publishing most often, they’re the ones giving editors something genuinely worth writing about.

We recently conducted our own independent AI in beauty research which is available here. We did a deep dive analysing which brands are being recommended, where AI platforms are actually sourcing their answers, for example Who What Wear, and what the data reveals about the gap between traditional digital authority and real AI visibility. We hope this white paper will help you to get your beauty brand winning in AI Search.

If your brand isn’t showing up when an AI is asked what works in your category, that’s a fixable problem, and it starts with earning coverage that deserves to be there.

Read the white paper above, and as a beauty digital PR agency, Foundation can help you build campaigns and stories that beauty editors actually want to read and AI models will cite.

Take a look at our digital PR services and let’s talk about getting your brand into the answers.

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Longevity-washing and the trust problem

 Making claims people can trust 

Longevity has become beauty’s new favourite word. It’s on serums, body creams, supplements and treatment lists, and the science behind it is moving quickly enough that most marketing teams are writing claims faster than their labs can substantiate them. And consumers, who are getting very good at spotting the gap between a scientific-sounding claim and an actual result, have started taking notice. 

For industries like financial services, their marketing teams have a thorough checking routine most beauty teams would find exhausting. Every claim has to be evidenced before it even goes near a campaign, every statistic carries a named source, and compliance holds a genuine veto over creative. It looks painfully slow from the outside, and as our sister agency, Balance, can attest it can be troublesome, but it’s given finance brands years of practice at something the beauty industry is about to need badly…how can we regulate terms like longevity?  

Longevity and beauty marketing  

The term first escaped form skincare marketing and we’ve seen it with some of our own skincare clients, and the obsession over the word is real. Skincare marketing has since moved on and we’re seeing more in haircare products, make-up, even some fragrance ad copy. L’Oréal chief executive Nicolas Hieronimus described the shift in March 2026 as a “new era of science”.  

With the shift, naturally the audience has widened too. Terms like prejuvenation and collagen banking have pulled 20-somethings into a category that once spoke almost exclusively to women over 45, which means a single product now needs to make sense to two very different buyers. 

That growth has produced its own problem, and the industry already has a name for it. Longevity-washing describes products that borrow the vocabulary without carrying the evidence, and the temptation is easy to understand. Preventative benefits resist the before-and-after formats that beauty social thrives on, so brands reach for bolder wording to fill the gap. 

What the ASA will actually let you say 

The Advertising Standards Authority spent April and May 2026 working through a run of cosmetic anti-ageing rulings, and the pattern across them should worry any brand writing longevity copy. Holding data is no longer enough. The regulator wants evidence that reflects the finished product as it is sold, not the isolated active inside it, and it rejected a peer-reviewed paper from a major dermo-cosmetic brand on exactly that basis.  

 

Eucerin London Tube Ad

 

The ruling shows how tight the standard has become. The ASA found the brand Eucerin had not evidenced that exosomes, once formulated into a topical serum and applied to the face, produced the regenerative effect described, and it noted that unqualified claims such as “rejuvenation” are not generally acceptable for cosmetic products.  

Two further rules catch longevity marketing repeatedly. Every distinct claim needs its own evidence, so proof of improved texture does not license a claim about lifting. And any numerical or time-based claim, whether that’s a percentage or looking five years younger, needs instrumental data rather than purely consumer self-assessment and reviews. Something all brands should consider: audit your claims before someone else does it for you.  

Your customers are already sceptical 

The Fashion Institute of Technology’s Cosmetics and Fragrance Marketing programme surveyed 1,654 beauty consumers in May 2026 for its Longevity of Beauty study, and the trust hierarchy it found is stark. Dermatologists and doctors are trusted by 75% of respondents and scientists by 67%, against a mere 5% for influencers.  

More uncomfortable for longevity brands specifically: only 14% said terms like NAD+, exosomes and epigenetics made a product feel more credible, while 32% read them as marketing language. It’s interesting to see that vocabulary that feels like proof internally, reads as just noise to a third of your audience.  

Timing expectations are the other trap- 42% of consumers expect visible results within a month, which is faster than healthy-ageing biology delivers, so a brand that stays vague about timelines loses believers by week four. 

 

AI systems are checking your homework too 

Research into generative engine optimisation (AI SEO), including a Princeton study presented at KDD in 2024, found that adding statistics to content lifted citation frequency in AI search results by 41%, and in contrast, if you don’t provide any statistics to back up your claims, you’re likely to get penalised: unsubstantiated claims without numbers or sources are among the things that actively reduce citation odds, while author bylines, organisation schema and consistent identity across can help web raise them.  

The LLM models weigh-up consistency across independent sources when deciding how confident they are to recommend a brand, which means a claim your own site makes, unsupported by press, reviews or expert coverage, simply does not get repeated back to the consumer. Our own independent research backs this up further,  showing that the AI’s source brand owned content just 7% of the time. 

The same FIT research found just 2% of consumers currently consult AI platforms for product reviews before buying. The behaviour that earns AI citations is identical to the behaviour that keeps the ASA satisfied, so this costs you nothing extra. Our SEO services team treats the two as one workstream. 

 What you can do next 

Here’s a couple of actionable takeaways we suggest you, as beauty markets do… 

Log into GA4 and pull your five highest-traffic product pages and read every efficacy claim on them, including the ones buried in the ingredient copy. Then put each through four questions: 

  • Does the evidence cover the finished formulation, or only the active ingredient in isolation? 
  • Would a consumer read this claim the way you intend it, or would they hear something stronger? 
  • Is every statistic sourced, dated, and based on instrumental measurement rather than how testers said they felt? 
  • Does the product name itself make a claim you would struggle to defend? 

The ASA applies the same substantiation standard to product names as it does to ad copy – a serum with “renewal” in the title is making a claim before anyone reads a word of the description. Anything that fails a question gets rewritten or evidenced properly. Nothing stays live on the strength of it having always been there. 

Secondly, make credentialed experts a visible part of your brand, not just a footnote in your marketing. Start with quotes to back your claims, then build up to real faces and video content across your website and socials, the more visible the expert, the more credible the claim. 

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How AI is changing the beauty customer journey

Over the years, how consumers have discovered brands has changed significantly. Historically, department store counters, word of mouth and magazines were the go-to sources for discovering brands and products. Over the years, we’ve seen the shift to digital and the importance that search, social media and influencers play in brand discovery and new customer acquisition.

YouTube and TikTok, in particular, changed the way customers consume content and find new products. Replacing more traditional intent-based searches with highly personalised and entertainment-driven algorithms that turn scrollers into buyers. The hashtag #TikTokMadeMeBuyIt has had over 74 billion views, and with 89% of TikTok users having bought a beauty product after seeing it in the app, this shows a major shift in consumer behaviour.

More recently, with the rise of AI, we’re seeing another big shift. AI is impacting every touch point of the consumer journey, determining which brands are being seen, who gets trusted and who wins the sale.

browsing on tiktok on a phone

AI is now influencing where and how brands are being discovered

Before AI, brand awareness came from ads, organic social or SERPs (Search Engine Result Pages). Consumers would search using short form specific queries, about a brand, a specific ingredient or a skincare concern, but nowadays, searches are becoming more conversational. Long tail phrases and questions are consumers’ preferred way to use search engines.

These results show up in the form of AI summaries, through ChatGPT answers and through visual search too (Google Lens usage is +400% since 2021), and while this represents a big opportunity for brand discovery, we are seeing a negative impact on the number of visitors to websites, through traffic.

Bain research shows that 80% of consumers rely on these summaries, and these result in what’s known as “zero clicks”, at least 40% of the time. Something that brands need to be mindful of- while it’s not necessarily bad, in fact, your content might be doing better than your analytics suggests, brands do need to adapt their search strategies to match this shift in behaviour.

How to get your brand showing up in AI

We have a dedicated blog on how to get your brand showing up in AI overviews, but with AI, getting your brand discovered has actually never been easier. You don’t need big budgets, big websites with big inventories, or a big brand name to get featured.

AI serves up results based on educational and authoritative content. This represents a huge opportunity for smaller, emerging brands that will naturally have all the credibility and authenticity on their site already. With a little content optimisation and Digital PR support, small brands are just as likely to appear as big high street names.

The new customer journey

The customer journey today is far from linear; the journey is messier, with customers often going back and forth between phases. Customers are more likely to discover a brand based on an AI recommendation, and they’ll then use social platforms like TikTok and Instagram to research the brand and validate it through social proof, like UGC and reviews.

Following that, consumers typically go on to Google to do a deep dive on the ingredients and their associated benefits and price comparisons. Once they’re ready to start thinking about purchasing, that’s when your brands credibilty matter the most. Ways that support that final conversion include having an expert voice or founder credibility to tip the scale towards conversion.

But even then, when and where the customer converts is not definitive or clean cut.

Beauty brands need to show up consistently across all these touchpoints in the journey to be in with a chance of closing a new customer acquisition sale, or risk being filtered out of the race entirely.

The messy middle just got messier

This new customer journey was coined as Google’s messy middle. We have a blog deep diving into the topic, but basically, it is a new adaptation of the consumer funnel. Instead of a neat, linear funnel, people loop- researching, comparing, validating, and reconsidering multiple times before committing to a purchase. Especially in beauty.

That middle has always been messy, but AI has made it even messier. AI now acts as a really strong influencer, doing so by recommending brands early in the discovery phase, answering questions effectively, reinforcing bias (social proof and authority) and reducing consumer effort when it comes to researching – all of which are pertinent when it comes to beauty brand discovery.

Google's messy middle diagram

What should beauty brands do to make sure they’re visible

For beauty brands, this means that to succeed, they need to be consistently visible across all touchpoints. Nowadays, it’s not about shouting the loudest but more about being the most credible. Because of this, investing in your content that builds authority and digital PR to reference your content and link to your site has never been more important.

Securing features in relevant publications to your brand through digital PR best practices and creating expert-led content that answers real customer questions is the best way to help your brand show up in AI recommendations and make your brand discoverable.

As a leading beauty and wellness marketing agency, we’ve helped our clients secure features in the likes of Vogue, Elle and Refinery29 in just a matter of weeks. We’d love to do the same for your brand. If you’d like to speak to a member of our team to discuss how you can improve and optimise your content for AI, or need help securing top-tier beauty publications, we’d love to hear from you.

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ChatGPT advertising announcement and what it means for beauty brands and consumers

In the last few months we’ve seen some pretty major announcements in the world of AI and ecommerce. First ChatGPT’s instant checkout, more recently Google’s announcement about their Universal Commerce Protocol (UCP), and now ChatGPT have just announced the introduction of advertising in ChatGPT.

Interestingly it was only two years ago that Sam Altman, founder and CEO of OpenAI, considered the place of ads in ChatGPT to be a “last resort”. Quite the change of direction given they’re now testing paid advertisements in AI conversions.

For beauty brands and beauty marketers, this marks a major new platform which we have to play, work and/or contend with! It leverages a totally new way to reach and interact with engaged, ready to buy customers, in a very personal and targeted way.

In this post we’ll summarise everything you need to know from announcement, we’ll take a look at what these ads could look like and give you key takeaways for your beauty brand.

Combating trust concerns

OpenAI addresses the immediate concerns users will have with this announcement. “If businesses can pay for the answers, can I trust what I’m reading?” It’s a difficult question but one that needs answering if growth in LLM adoption is to continue when ads go live. Particularly within beauty, trust and credibility is such an important leverage for brands. If handled incorrectly, beauty brands could lose this and with it, their following and what keeps the brand authentic.

Testing will initially roll out on the free and “Go” tiers, so not impacting paid, pro or business users. Testing will initially launch in the U.S with a view to rolling out new countries in the future, and importantly, they have stated that they “will not show ads in accounts where the user tells us or we predict that they are under 18, and ads are not eligible to appear near sensitive or regulated topics like health, mental health or politics.”

To combat the concern of loss of trust within the platform, OpenAI have outlined five ad principles that are aimed at keeping the trust between human and AI. They are:

Mission alignment:

OpenAI are consistent with their mission statement being to “ensure AGI benefits all of humanity” – as they introduce Paid Ads into their ecosystem.

For beauty brands, this means AI ads should prioritise helping people make better decisions about their skin, hair, or makeup, for example, guiding someone with sensitive skin away from harsh products, even if those products are higher margin.

Answer independence:

Adverts will not influence the answers ChatGPT gives the users. Answers will continue to be “optimised based on what’s most helpful to you.”

If a user asks, “What’s the best routine for rosacea-prone skin?”, AI answers should provide gentle, evidence-based guidance, even if that means recommending fewer products (or none at all), rather than steering the answer toward a skincare brand advertising on the platform.

Conversation privacy:

Conversations will not be shared with advertisers, and they will never sell your data to advertisers.

This is especially important in beauty, where users may share photos, insecurities, or concerns like acne or hair loss and knowing these conversations remain private builds the confidence required to engage honestly with AI tools.

Choice and control:

Users will have control over how their data is used, including the ability to turn off personalisation and clear ad-related data at any time.

As a consumer, you should be able to explore foundation shade matching or skincare advice without being permanently targeted related ads. This gives users back control and helps beauty brands feel like they’re supporting their customers rather than intruding.

Long-term value:

The platform is not and will be continued to not be optimised for time spent in ChatGPT. User experience will be prioritised over revenue.

For beauty marketers, this signals a shift toward quality interactions over volume. It shows us that a single, trusted AI recommendation that genuinely works for someone’s skin can be more valuable than repeated exposure to aggressive or irrelevant ads.

How will it work?

In the announcement, OpenAI shared a snippet of how these adverts may look. As we’re only just entering the Beta testing phase, it’s best to take these ideas and screenshots with a big pinch of salt. 

what chatgpt ads may look like

Firstly, ads in ChatGPT will be clearly highlighted. As stated by ChatGPT: “when there’s a relevant sponsored product or service based on your current a conversation, ads will be clearly labelled and separated from the organic answer.”  

You’ll also be able to learn more about why you’re seeing certain ads just like we see on other popular ad platforms now. We can assume it’s in this section of the user experience that you’ll be able to manage your data and make the choice if you want to see less of those sorts of adverts there. But we won’t know this for sure until this is rolled out further. 

We did get a peek into where they want to see this going after testing, and the default static advert is not where they see this integration stopping. They want the ad experience in AI to not just inform a user, but to be more helpful and relevant than any other digital adverts out there.  

The example they gave was “soon you might see an ad and be able to directly ask the questions you need to make a purchase decision.”  

ChatGPT ad previews

If the search ads we know lets us buy visibility on a results page, ChatGPT ads look to let you buy a place in the answers themselves. 

Here’s how it could work. Imagine a user asking ChatGPT to build a routine for adult acne and sensitive skin. Rather than just being served a static banner for a cleanser, ChatGPT ads envision a brand’s product appearing in a paid for placement within the response, alongside ingredient education and routine guidance, with the user able to ask follow-up questions such as “How should I use it in my routine?” or “Is it suitable for dry skin?” 

In this example, the ad is no longer just about awareness, it has become part of the decision-making process itself – the brand isn’t simply buying space on a page, as with traditional search ads, it is buying a role within the answer, where trust and relevance matter far more than the creative impact. 

This marks a fundamental shift from search advertising as we know it. Where search ads allow beauty brands to compete for placement around results, ChatGPT ads could allow brands to participate within the answers that consumers are already seeking, effectively turning ads into a consultative moment. For beauty, a category built on expertise and authenticity, this could be incredibly powerful, but also raises the bar: brands will be judged not just on how compelling their message is, but on how genuinely helpful their presence is. As powerful as this could be, a mis-placed foot could be detrimental for a brands credibility. If a brand positions itself in a way that feels too sales-y, or irrelevant, it risks breaking trust at a crucial moment, a mistake that could be fatal for long-term brand credibility. 

Our thoughts on the ChatGPT ad announcement

Okay, so what does an experienced paid media advertiser think about all this excitement?  

Will we have enough information on the users we’re sharing these adverts with?  

Probably not, if, as Open AI have stated, that they will only be showing adverts to people that have free or Go plans, will advertisers have enough information to segment audiences to show them targeted adverts? 

It’ll be interesting to see the level of detail they have about users on free and Go tiers vs paid. Paid tier advertising would LIKELY be more favourable to advertisers as CGPT would hold much more information about those people. 

Will we be able to see impressions, click-through-rates (CTR) and other data points to understand the effectiveness of our ads? 

At its current stage, we don’t know.  

You would like to assume that yes, advertisers need to be able to see what their money is being spent on, but Open AI are saying in this statement that conversations will remain between user and chat bot. The level of detail to be shared with advertisers is yet to be seen. 

It’ll be really, interesting to see how this evolves as advertisers demand more insights. I.e. it’s reasonable from an advertiser’s perspective to expect to see “which searches/keywords/phrases drove impressions/clicks/traffic” (like we would expect from paid search or even organic search!) as well as some initially basic level of demographic and location targeting.  

Measurement is getting increasingly more difficult, through cookie depreciation and regional privacy regulations. A new channel with its own nuance will certainly add an interesting challenge. 

How do I think their dedication to privacy will pan out? 

I appreciate ChatGPT’s commitment to privacy but equally, they’re going to find it a bit chicken and egg when fighting advertiser expectations and in reporting. Proving that ChatGPT is driving value so that advertisers continue to give them money will be difficult without that key information. 

Where will OpenAI’s principle of “not selling your data” end?  What is the definition here, is using the information you provide to assist paid targeting not selling it? 

It’s still early days

With regards to when, the announcement has been pretty vague about timings but we imagine it will be happening sooner rather than later. OpenAI’s statement says that they are “starting from the ground up” so this could mean that there’s no platform yet.  

We think that testing will roll out to other countries outside of the US later this year and if adoption is strong, we predict we could even see a self-service ad platform by the end of the year. 

Along with our SEO team, we’re keeping our ear to the ground – we are seeing AI SEO, GEO – whatever you want to call it – growing in their domain. It will be very interesting to see how these policies evolve as they start raking in billions from advertisers! 

For smaller beauty brands, this represents a huge opportunity to get ahead of big beauty brands, who take longer to make decisions as they typically have more red tape to get through. Being the first to adopt new platforms like this is more often a cost effective way to grow market share and build brand awareness before the big brands jump in and push up costs.  

If you’re running performance marketing in the UK, we’d recommend reserving some budget for testing this later in the year (if you haven’t already). 

Our paid media teams have already mocked out test scenarios with some of our clients so that, as and when access opens up, we can be one of the first ones on the platform.  

If you’re interested in working with Foundation- specialists in beauty marketing, get in touch with one of our team today, we’d love to chat and discuss how we can grow your brand.  

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