MFG Wellness | Where Healthcare Meets Marketing
A patient with a sore shoulder in 2026 has a new first step available, and a growing share of them are taking it. They open a chatbot and describe the problem before they open a search engine, and often before they call anyone.
The research on this is now good enough to argue from, which was not true a year ago. Pew Research surveyed 3,488 U.S. adults in late June 2026 and found that 34% of Americans use AI chatbots for at least one health or medical reason. About a quarter use them to work through symptoms on their own. Roughly three in ten cite getting health information quickly as a reason.
That number sounds alarming on its own. Read alongside the rest of the evidence, it is more interesting than alarming, and the difference matters for how a practice responds.
Most people still start with their doctor
Gallup’s polling puts the counterweight in plain view. In a report published in February 2026, based on a survey of 5,179 adults, 73% named physicians or other professionals at a practice they regularly attend as a source they turn to for medical information. Medical websites tied to established authorities such as well-known hospitals or government health agencies came second at 53%. AI chatbots sat at 16%.
Separate work from the West Health-Gallup Center on Healthcare in America, published in April 2026 and drawn from a survey of more than 5,500 adults, found that one in four U.S. adults have used AI tools for health information or advice. Among people who had used AI for health in the previous 30 days, 59% did so to research before a doctor’s visit, and 56% did so after one. Eighty-four percent still saw a provider.
So the behaviour is not replacement. It is preparation, and then it is translation afterward.
What that changes about the first appointment
Two things follow from the data, and both are practical rather than theoretical.
The first is that a patient often arrives having already formed a working theory. Gallup’s April findings show most people are using these tools around the visit rather than instead of it. The president of the American Medical Association has said publicly that he welcomes patients arriving with more developed questions than they used to bring.
The second is that a smaller group is peeling off. In the West Health-Gallup work, 14% of recent AI health users reported not seeing a provider they otherwise would have seen, because of information they got from AI. That is the group a practice never hears from, and never gets a chance to correct.
Trust in these tools is low, and that is the opening
Here is the finding most agencies leave out of the pitch. Confidence in AI health information is weak. Pew’s earlier 2026 work found that only about 18% of Americans rate AI chatbots as highly accurate for health information. Roughly a third of adults who had recently used AI for health information said they trusted its accuracy, roughly a third distrusted it, and roughly a third sat in the middle.
Privacy concern runs alongside that. In KFF polling conducted in late February and early March 2026, most adults who had entered personal medical information into an AI tool said they were concerned about the privacy of that information.
Put those together and a pattern shows up. People are using these tools heavily, trusting them moderately, and looking for something to check the answer against. What they check against is a named source. A hospital site, a government health agency, a practice that clearly explains what it does.
That is where a practice website has a job to do, and it is not the job most practice websites are built for.
What patients are asking, in their own words
The questions that lead to a booking are narrower than the questions that lead to a diagnosis. A person who has already asked a chatbot what might be causing a symptom moves next to a different set of questions. What kind of specialist handles this. Whether they need a referral first. Whether their insurance is accepted. What the first visit involves. How soon someone could see them. Whether the practice treats people like them.
Almost none of that is answered on a typical practice website, which tends to open with a mission statement and a stock photograph.
An AI engine assembling an answer about local care options can only work with what it can find and read. If those questions are answered nowhere on your site, the engine has nothing of yours to use, and it will build the answer from whatever it does have.
What a practice can do about it
The starting point is unglamorous. Write down the twenty questions your front desk answers every week, and check how many are answered in plain language somewhere a machine can read.
Most practices find the answer is close to none. The information exists, and it lives in a staff member’s head, in an intake packet, or in a phone call. None of those are readable by an engine assembling an answer at eleven at night when the patient is on their phone.
The mechanics of how engines find and use that material are covered in why an AI engine skips a practice website. The question of whether your own site is even the right place to put it is covered in your own website versus being written about elsewhere.
Neither is a technology problem in the way it usually gets sold. Both come down to whether a practice has written down, in public, what it knows.
Frequently Asked Questions About Patients and AI Search
Are patients really using AI instead of seeing a doctor?
Mostly no. West Health-Gallup research published in April 2026 found 84% of recent AI health users still saw a provider. A smaller group, 14%, reported skipping a visit they would otherwise have made. The dominant pattern is research before and after an appointment.
How many people are doing this?
Pew Research found 34% of U.S. adults use AI chatbots for at least one health or medical reason, in a survey of 3,488 adults conducted in June 2026. KFF put the figure at 32% for the previous year, and Gallup at around 25%. Different questions produce different numbers.
Do patients trust what AI tells them about health?
Not strongly. Pew found roughly 18% of Americans rate AI chatbots as highly accurate for health information. Gallup found trust split roughly evenly three ways between trust, distrust, and neither. Most people appear to treat these answers as a starting point.
Does this mean search engine optimization no longer matters?
No. Traditional search visibility still feeds AI answers, since engines draw on indexed web content. The change is what a page has to contain to be usable in an answer, rather than a wholesale replacement of how discovery works.
Should a practice publish medical information to appear in AI answers?
Publishing clinical guidance carries board advertising and liability considerations that sit outside marketing. Most practices are better served explaining what they do, who they treat, and how care works at their office, which is what patients ask before booking anyway.
Where should a practice start?
Write down the questions your staff answer by phone every week, then check whether any are answered on your website in plain language. That list is usually the fastest route to content that is both useful to patients and readable by an engine.
MFG Wellness: Answering the Questions Patients Already Asked Someone Else
MFG Wellness works exclusively with healthcare providers, from York, Pennsylvania. The gap this article describes, between the questions patients bring to a chatbot and what a practice website says back, is the specific problem two of our services exist to close.
How we work on it:
- AEO for Healthcare: We start with the questions your front desk answers by phone every week, then write them into pages phrased the way a patient asks them, with answers that hold up when an engine lifts one out on its own
- Medical Public Relations: When confidence in AI answers sits as low as the polling shows, patients look for a named source to check against, and coverage in trade and local press puts your practice among the sources they find
Curious what an AI assistant says when someone asks about care in your area? Request a quote and we will run the questions and show you what comes back.
Works Cited
Pew Research Center. “From Diagnoses to Treatments, Why Americans Use AI Chatbots for Health.” Pew Research Center, 25 Aug. 2026, www.pewresearch.org/science/2026/08/25/from-diagnoses-to-treatments-why-americans-use-ai-chatbots-for-health/.
Gallup. “Americans Turning to AI to Supplement Healthcare Visits.” Gallup, 15 Apr. 2026, news.gallup.com/poll/707789/americans-turning-supplement-healthcare-visits.aspx.
KFF. “KFF Tracking Poll on Health Information and Trust: Use of AI For Health Information and Advice.” KFF, Mar. 2026, www.kff.org/public-opinion/kff-tracking-poll-on-health-information-and-trust-use-of-ai-for-health-information-and-advice/.
Disclaimer
MFG Wellness is a healthcare digital marketing agency in York, Pennsylvania. We are not a law firm and do not provide legal or compliance services.
We are reporting published survey findings as they stand at the time of writing, drawn from the sources cited above. We did not conduct any of this research. Survey figures reflect the populations and dates described in each source. Current as of 31 August 2026.
This article is general information and is not legal or compliance advice. Healthcare regulations change and apply differently depending on your arrangement. Confirm current requirements with your compliance officer or counsel.
