AI & innovation 16.09.25

AI search is here: How can Consumer Health brands stay visible?

Search has always been central to how consumers access healthcare information. Whether it’s finding symptom advice, checking product information, or exploring treatment options, search engines often remain the first port of call. For example, 59% of UK consumers search symptoms online before seeing a doctor (Lenstore) and in the EU, it’s 58% (Eurostat, 2024). When it comes to the younger generations this is even more evident with 73% of Gen Z in the US and 68% of Millennials looking for health advice online first (Charity RX, Eurostat). 

However, search is changing fast. With the rise of generative AI, search is no longer just about traditional blue links on Google. Instead, people are increasingly receiving conversational answers, AI summaries and direct recommendations from platforms like ChatGPT, Google’s AI Overviews, Perplexity, and even TikTok search. For example, 25% of people surveyed by Tebra would rather consult AI than a doctor, and 80% of ChatGPT users reported it as giving effective medical advice. For Consumer Health brands, this shift means there are both risks and opportunities to consider.

Why does AI search matter in Consumer Health?

  1. Consumer trust is now at stake as people searching for health information expect accurate, reliable answers. So if you have a brand which is targeting consumers for say OTC (Over The Counter) medicines or self-care related  products and they are absent from AI-powered results, you risk losing brand visibility to less authoritative or competing sources.
  2. The “homepage of the internet” has expanded, and although Google is still dominant, search now happens across multiple platforms from Amazon, YouTube, Reddit, TikTok, and AI assistants. This now means that Consumer Health brands will need to optimise far beyond a single channel or a keyword.
  3. Competition for attention has intensified, and these new AI engines like ChatGPT and Google’s AI Mode will increasingly prioritise authoritative, well-structured content. This means your brand’s ability to surface in AI-driven search depends on how well you align with these new signals.

AI search is rewriting the rules of visibility

AI search represents far more than algorithm updates, which would have previously occupied your SEO team’s time and focus. AI search is a structural transformation in how people discover and consume health information.

Instead of presenting users with a list of possible sources, generative AI condenses knowledge into a single, summarised response. This means brands must work harder to ensure their content is robust, reliable, and authoritative enough to be cited within those answers. Success is no longer about matching keywords alone; AI models interpret intent and semantics, drawing on the language consumers actually use in their health questions. This makes clarity, readability, and contextual alignment essential for visibility.

For example, if someone searches “best product for a blocked nose”, a traditional search might return ten blue links to pharmacy sites, health publishers, or product pages. In contrast, an AI engine will often produce one summarised response, perhaps stating that decongestants can relieve nasal congestion, outlining the difference between oral tablets and nasal sprays, and highlighting considerations such as age restrictions or duration of use. Unless your brand’s content was written clearly, reviewed for medical accuracy, and structured so that AI can identify it as a trustworthy source, your product will be absent from that single answer.

Or imagine someone asking, “what’s the best treatment for hay fever?”. This used to return a wide range of results in a Google search like articles from health publishers or NHS advice pages. Generative AI now distils that search into a single, summarised answer, outlining that antihistamines help relieve symptoms, that nasal sprays and eye drops may be effective, and that individuals should consult a pharmacist or doctor for tailored advice.

This all means that visibility in AI search now requires your brand to meet higher standards of accuracy and authority, while aligning directly with the intent behind consumer health queries.

Why AI search matters for brand building and ROI

For Consumer Health marketeers, the shift to AI search is not just a technical SEO concern; it is directly linked to brand growth, performance, and commercial returns. If consumers can’t see your product when they ask their health-related question in an AI search, you lose brand salience at the exact point of need. That gap doesn’t just cost you impressions; it can redirect demand to your competitors who are better optimised for these new environments.

AI search also makes the case for investing in brand-building content that compounds over time. Structured, authoritative, and medically reviewed content not only drives visibility today; it also strengthens your brand’s role as a trusted voice that consumers can return to year after year. Above all, trust is currency in Consumer Health. AI engines increasingly prioritise reliable, authoritative sources. Brands that invest in medically sound, consumer-friendly, and transparent content can convert that trust into visibility, and then visibility into sales. Conversely, if your brand is absent or inconsistent in these spaces, the gap may be filled by unregulated or less credible advice, eroding both consumer trust and your market share.

Importantly, search can no longer be separated from brand campaigns. Your media investment in TV, social, or influencers may spark demand, but if AI search doesn’t validate your message when consumers check for advice or reassurance, that investment leaks ROI. Ensuring your brand is present and consistent across search engines, AI tools, and peer-to-peer platforms creates a closed loop that turns awareness into conversion.

AI Mode: what it is and why it matters for Consumer Health

One of the most significant developments is Google’s new AI Mode, launched in the UK in July 2025. AI Mode allows users to switch from the familiar list of search results to an AI-driven interface that generates these direct, conversational answers. For health queries, this means that instead of scrolling through a range of websites, consumers may increasingly rely on the Google AI Mode summary alone. If people are satisfied by what they see at a quick glance, the traditional clickthrough metrics we all used to track may decline. This is part of a broader trend toward something you may see referred to as zero-click search, where the information a person needs is available directly in the search interface. However, rather than viewing this as a loss, it should be seen as a prompt to evolve your content strategy.

Early analysis shows that health and pharmaceutical content is among the most likely to appear in these AI-powered responses, reflecting Google’s confidence in surfacing information from authoritative, structured sources. For Consumer Health brands, this raises the stakes: if your content is not reviewed for accuracy, clearly structured, and aligned with real-world intent, your products or advice will be missing when consumers make decisions in AI Mode.

Beyond Google: Competing for visibility in a fragmented search ecosystem

The scope of search has also moved far beyond Google.

Consumers now look for health information across a growing web of digital environments. For example, they may do an Amazon product comparison, check out YouTube for some how-to advice, or view TikTok for some peer-to-peer recommendations. They could head over to Reddit for community discussion, and chat away with conversational AI tools like ChatGPT for that instant, summarised answer they are looking for.

Each of these platforms operates with its own rules, algorithms, and intent signals, shaping not just how content is found but how it is trusted and acted upon. For Consumer Health brands, this creates both a challenge and an opportunity. Visibility is no longer a matter of ranking well on one search engine; it requires a strategy capable of meeting consumers across this fragmented ecosystem, where authority, credibility, and clarity are interpreted differently depending on the platform. Success in this environment means adapting your optimisation approach to ensure your brand remains discoverable, trusted, and relevant wherever those health journeys begin.

How the Varn Health AI Visibility Framework can help

At Varn Health, we’ve developed an AI Visibility Framework to help Consumer Health brands adapt, measure, and stay ahead as search evolves. The Framework is built around key strategic and technical checkpoints that assess how well your brand is positioned for AI-driven search. From benchmarking against your competition as to how AI engines currently cite your brand, to testing structured data, content readability, and semantic optimisation, it provides a clear roadmap for your search visibility.

For Consumer Health brands, this means:

  1. Identifying where you are; or importantly are not; appearing in AI search results
  2. Pinpointing the technical and content changes needed to improve visibility
  3. Understanding your competitive landscape and how it is changing
  4. Building long term resilience as AI search becomes mainstream

Join our webinar on AI Visibility for the PAGB

We’ll be sharing exactly what’s changing as AI search impacts how people discover your Consumer Health brands and we will share practical insights and examples in our upcoming webinar for members of the PAGB “The rise of AI search: Don’t let your brand disappear”. Join us to understand what AI search means for your brand, the risks of disappearing from consumer journeys, and how to use the new Varn Health AI Visibility Framework to take action and get visible in AI search. Members of the PAGB can register for the webinar on the website >> The rise of AI search – don’t let your brand disappear – PAGB Webinar

 

 

Tom
16.09.25 Article by: Tom, Varn Health CEO More articles by Tom

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