Today, however, AI and consumer behaviour are changing that experience in ways that traditional search never could.
Instead of scrolling through pages of results, consumers can now ask AI a question in plain English, receive a personalised answer and keep asking follow-up questions until they feel confident enough to make a decision. You can upload a photo of a multivitamin and ask whether it meets your nutritional needs, then refine the response based on your age, diet or medical history, all within the same conversation.
Used responsibly, this isn't necessarily a bad thing. Research published in the British Journal of General Practice found that many GPs viewed internet-informed patients positively, provided online information supported, not replaced professional medical advice. Better-informed patients often asked more focused questions and were able to take a more active role in conversations about their health.
For organisations researching consumer health, that's the real story. AI isn't simply changing how people find information; it's changing how they build confidence, evaluate options and make decisions before they purchase a health-related product or speak to a healthcare professional. Understanding those behavioural shifts is becoming just as important as understanding the decisions themselves.
AI is changing the consumer health journey
For years, the consumer health journey followed a familiar pattern.
A consumer noticed a symptom, searched Google, visited several websites, compared advice from different sources and eventually decided whether to self-manage, buy a product or seek professional help.
AI hasn't replaced that journey. It has changed how consumers move through it.
Unlike a search engine, AI allows people to ask follow-up questions, challenge what they've just read and request explanations in language they actually understand. Instead of piecing together information from multiple websites, consumers can refine their understanding within a single conversation.
That seemingly simple change has important behavioural implications.
Consumers are no longer just collecting information. They're testing ideas, exploring options and building confidence before taking action.
The King's Fund believes this forms part of a much broader shift in healthcare – from reacting to illness towards helping people manage their health more proactively. AI is becoming another tool within that ecosystem, alongside wearable technology, health apps and home diagnostics, helping people take greater ownership of their wellbeing.
For researchers, this changes the starting point.
By the time someone purchases a supplement, decides to explore a GLP-1 medication or books an appointment with a healthcare professional, they may already have spent considerable time discussing options with AI.
That context matters because it influences the decisions consumers ultimately make.
Why AI feels different from Google
The growing influence of AI isn't simply because it's faster than search engines.
It's because it feels fundamentally different.
Traditional search requires consumers to evaluate dozens of websites, compare conflicting advice and decide which sources to trust.
AI turns that process into a conversation.
Rather than asking one question and stopping, consumers naturally continue exploring until they feel satisfied with the answer. They can ask for simpler explanations, clarify confusing terminology or adapt the response to reflect their own circumstances.
For many people, that feels far more approachable than reading multiple clinical articles.
Research reviewing generative AI in healthcare suggests this conversational approach could improve health literacy by making complex medical information easier to understand. Importantly, the authors argue that AI should enhance (not replace) the relationship between patients and healthcare professionals, helping people better understand information before discussing it with an expert.
This conversational experience may also explain why AI is becoming part of everyday consumer behaviour.
Consumers aren't necessarily looking for definitive medical advice.
Often, they're looking for reassurance.
They want help understanding a diagnosis they've already received, comparing products, interpreting nutrition labels or preparing for an appointment.
In other words, AI is changing confidence as much as it is changing knowledge.
How AI is influencing consumer health decisions
The impact of AI extends well beyond finding information online.
It is increasingly shaping how consumers evaluate choices before acting.
Someone considering a health product may feel more confident making a purchase after exploring the pros and cons with AI. Someone preparing for a GP appointment may arrive with a clearer understanding of potential treatment options and better questions to ask. Others may decide against purchasing a supplement after discovering there is little evidence to support its claims.
Whether those decisions relate to nutrition, wearables, preventative healthcare, menopause support or treatments such as GLP-1 medications, AI is becoming another influence alongside healthcare professionals, pharmacists, family members and trusted health organisations.
That doesn't mean AI is replacing those sources.
It means consumers are arriving at decisions having already built a level of confidence – rightly or wrongly – through conversations with AI.
For organisations developing health products or researching consumer behaviour, that's an important distinction.
Understanding what people decide is only half the story.
Researchers increasingly need to understand how they reached that decision in the first place.
The opportunities and challenges of AI-powered decisions
AI undoubtedly offers opportunities for consumers, but it also raises important questions around trust.
Better health literacy
One of AI's biggest strengths is its ability to explain complex information in more accessible language.
Rather than navigating multiple websites filled with medical terminology, consumers can ask AI to explain unfamiliar concepts, define jargon or summarise lengthy information into something easier to understand.
For many people, this lowers the barrier to engaging with their own health.
More informed decision-making
By making information easier to compare and personalise, AI has the potential to help consumers make more informed decisions about products, treatments and lifestyle changes.
It can also encourage people to ask better questions when they do speak to a healthcare professional, creating more productive conversations rather than replacing them.
However, those benefits only exist when consumers understand the limitations of AI.
Accuracy still matters
The conversational nature of AI is one of its greatest strengths, but it can also be one of its biggest weaknesses.
Unlike a search engine, AI often presents information in a confident, authoritative tone. Most of the time that information may be accurate, but it can also be incomplete, outdated or occasionally incorrect. AI models can even "hallucinate"; a term used to describe when they generate information that sounds plausible but isn't supported by reliable evidence.
For consumers, that confidence can make it difficult to know when to question an answer or seek further advice.
That's why healthcare professionals continue to emphasise that AI should complement expert advice rather than replace it. Used responsibly, it can help people better understand their health and prepare for conversations with a clinician. Used uncritically, it can reinforce misconceptions or create false confidence.
For researchers, this presents an interesting challenge. When exploring consumer decision-making, it's no longer enough to ask what influenced someone's decision. It's equally important to understand whether AI shaped their understanding before they ever entered the research.
Transparency builds trust
Trust has always been central to consumer health decisions.
Consumers are far more likely to act on information when they understand where it came from and believe the source is credible. Traditionally, that trust has been built through healthcare professionals, recognised charities, government guidance and reputable health organisations.
AI changes that dynamic.
Although many AI platforms now provide references, consumers don't always click through to the original sources. They may remember the advice but not where it came from, making it harder to judge its reliability.
That makes source credibility more important than ever.
For brands and researchers alike, understanding which sources consumers trust – and whether AI has changed those perceptions – can provide valuable insight into how purchasing decisions are formed.
Privacy can't be overlooked
The more personalised AI becomes, the more personal the information consumers are willing to share.
People are increasingly entering symptoms, medications, lifestyle habits, dietary preferences and health goals into AI platforms to receive tailored advice.
That convenience comes with responsibility.
Consumers need to understand how their information may be stored and used, particularly when discussing sensitive health topics. For organisations working in consumer health, transparency around data privacy will continue to play an important role in maintaining trust.
Public opinion reflects this balance. Research from YouGov found that while many Britons see AI as having the potential to improve healthcare, concerns around misinformation, privacy and over-reliance remain widespread.
AI is accelerating proactive health management
Perhaps the biggest change isn't that consumers have another way to search for health information.
It's that they're taking a far more active role in managing their health.
Whether it's tracking sleep, improving nutrition, researching menopause support, exploring GLP-1 treatments or comparing wearable devices, consumers are increasingly making decisions before they ever enter a healthcare setting.
PwC's Global Health Report suggests this reflects a wider shift towards more personalised, preventative healthcare, where individuals expect greater control over how they manage their wellbeing.
AI fits naturally into that trend. Rather than acting as another source of information, it acts as a guide, helping consumers interpret information, compare options and feel more confident before making a decision. However, as consumers become more proactive, the accuracy and reliability of the information they receive remains critically important.
For researchers, this creates an important new dimension to explore.
Participants are no longer arriving with only their own experiences. They often arrive with information, opinions and expectations shaped by AI.
Understanding where those expectations came from is becoming an increasingly valuable part of consumer insight.
What does this mean for consumer health research?
Consumer health research has always been about understanding how and why people make certain decisions about their health and wellbeing.
AI doesn't change that objective, but it does change the context.
A participant taking part in a focus group today may already have spent hours discussing symptoms with AI, comparing products, researching treatments or exploring lifestyle changes before they ever purchase a product or speak to a healthcare professional.
That doesn't make qualitative research less valuable.
If anything, it makes it more valuable than ever.
Researchers now need to understand not only what participants think, but how they arrived at those views.
Questions worth exploring in research
When planning consumer health research, consider exploring questions such as:
- Where did participants first hear about this product, treatment or condition?
- Did AI influence their understanding before they made a decision?
- How much do they trust AI compared with healthcare professionals, pharmacists or recognised health organisations?
- Has AI changed what they expect from brands or healthcare providers?
- Did they verify or challenge the information AI provided?
- Which information ultimately gave them the confidence to act?
These aren't questions AI can answer on its own.
They require conversations.
They require context.
And they require qualitative research.
At Angelfish Fieldwork, we've seen first-hand how valuable those conversations can be. Whether recruiting participants for studies exploring patient experiences, nutrition, preventative healthcare or wider consumer health behaviours, our role is to connect researchers with people who can explain not just what they decided, but why.
As AI becomes a more familiar part of everyday life, understanding that "why" will become even more important.
Final thoughts
"Doctor Google" isn't disappearing, but it is evolving.
AI is reshaping consumer health decisions by changing how people access information, build confidence and evaluate their options before they ever make a purchase or speak to a healthcare professional.
For organisations conducting consumer health research, that's the real opportunity.
Today's participants arrive with more information, more confidence and often more assumptions than ever before. Those assumptions may have been shaped by healthcare professionals, family, social media, or increasingly, AI.
Understanding where those influences came from will lead to richer conversations, stronger insight and better decision-making.
If your organisation is researching consumer health, it's no longer enough to understand the decisions people make. You also need to understand the journey that led them there.
At Angelfish Fieldwork, we help organisations recruit the right participants for consumer health research, uncovering the behaviours, motivations and influences that sit behind real-world decisions. As consumer health continues to evolve, we're here to help you understand the people behind the data.
