Buyers now research health brands by asking the AI first
The way people find a clinic, a supplement, a telehealth service or a health app has shifted under the industry's feet. Instead of scrolling a results page, they ask a question in plain language — "what's a reputable platform for online therapy?", "which companies do at-home blood testing?", "is this brand actually trusted?" — and read the answer the model writes back.
The scale is no longer niche. In Rock Health's 2025 Consumer Adoption of Digital Health Survey, the share of U.S. consumers who had used an AI chatbot for health information reached 32% — roughly double the previous year's 16% (Rock Health, 2025). OpenAI, describing its own usage, has said that around 1 in 4 of ChatGPT's hundreds of millions of weekly users submits a healthcare-related prompt each week, with a large majority of those conversations happening outside normal clinic hours (OpenAI, 2025–26, as reported by Fierce Healthcare and TechCrunch). Whatever the precise number on any given week, the direction is unambiguous: a growing slice of your prospective patients and customers are forming an impression of your category — and of you — inside an AI answer, before they ever reach your site.
That raises a specific commercial question. When someone asks ChatGPT, Perplexity or Gemini for the trusted names in your corner of health, is your brand one of the names it offers? If it isn't, the buyer rarely notices the gap. They simply take the shortlist the AI gives them.
Why health is the hardest category to get named in
Health and medical content sits in what Google's quality guidelines call YMYL — "Your Money or Your Life." It's the content most able to affect a person's wellbeing, so it is held to a deliberately higher standard than an ordinary commercial page. The frameworks the broader search ecosystem uses to judge it — and that AI answer engines increasingly echo — centre on E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness.
In practice this means AI is more conservative about who it will name in health than in almost any other vertical. A claim you make about yourself on your own site carries little weight here. What moves the needle is being discussed, in context, by independent sources the model already treats as credible. One analysis of how chatbots cite health information found that citations concentrate overwhelmingly in high-authority domains — with the large majority drawn from established institutional and health-media sources rather than fringe sites, and a majority leaning on trusted summaries and explainers over raw research (medRxiv / arXiv working paper, "Authority Signals in AI-Cited Health Sources," 2026). The signal you need isn't a louder message about yourself. It's a credible third party saying your name in the right context.