YOLANDO RESEARCH · JUNE 2026

Who does AI recommend in healthcare?

Who does AI recommend in healthcare?

Who does AI recommend in healthcare?

A first-party study of 27,000+ AI-generated answers across ChatGPT, Gemini, Perplexity, and Claude. See which healthcare brands earn visibility when consumers ask AI assistants for care recommendations.

A first-party study of 27,000+ AI-generated answers across ChatGPT, Gemini, Perplexity, and Claude. See which healthcare brands earn visibility when consumers ask AI assistants for care recommendations.

A first-party study of 27,000+ AI-generated answers across ChatGPT, Gemini, Perplexity, and Claude. See which healthcare brands earn visibility when consumers ask AI assistants for care recommendations.

What the study measures

AI visibility: the share of assistant answers in a category, metro, or national segment that name a given healthcare brand.

Models and prompts

The dataset includes nearly 7,000 consumer-health prompts and answers from OpenAI, Google, Perplexity, and Anthropic systems.

Who this is for

Built for healthcare marketers, growth teams, executives, and operators tracking how AI assistants surface brands across categories and metros.

If you’re interested in learning how to get on the scoreboard or improve your ranking, check out our free resource.

If you’re interested in learning how to get on the scoreboard or improve your ranking, check out our free resource.

About this study.

Findings are drawn from 27,000+ answers generated by ChatGPT (OpenAI), Gemini (Google), Perplexity, and Claude (Anthropic) in response to 6,953 consumer-health prompts, collected in June 2026 in U.S. English across national queries and 12 major U.S. metros, spanning six verticals (weight loss, dermatology, hormone/TRT, fertility, med spa, and lab testing). Brands were extracted from the assistants’ answer text, not from a preset list. “Visibility” is the share of answers in a segment that name a given brand. “First-party” (own-site) share is cumulative across all providers combined and refers to the portion of cited sources that are a provider’s own domain. Rankings and percentages are robust; raw mention counts are directional. Sentiment and factual accuracy of the answers were not scored. Cite as Yolando Research, June 2026.