Health information: people already trust AI more than classic search — and trust moves with the interface
The same model's health information earns significantly different trust depending on whether it arrives as text, speech or an embodied interface.
Key numbers
- Study 1 (N=21): across three health task types comparing sources from ChatGPT and Google, trust in health information from ChatGPT was significantly higher.
- Study 2 (N=20): the same model delivered through three interfaces (text, speech, embodied) produced significant differences in trust.
- Interviews pointed to source credibility, users' search autonomy, prior knowledge, and interaction style and modality as the factors that shape trust.
Method and sample
arXiv paper “From Search Agents to Dissemination Interfaces: Understanding Human Trust in Health Information from Conversational Search” (2026-08-21): two mixed-methods studies — lab sessions comparing trust in ChatGPT versus Google for health information, and interviews — followed by a comparison of three dissemination interfaces.
What it means for brands
In healthcare AI is not just an entry point, it is a trusted information source, and the same answer changes in credibility when the interface changes. For providers mentioned by AI, being described incorrectly costs more than in most industries.
How SourceSight handles it
For healthcare projects the content factory makes indications, credentials and scope of service explicit, and the site audit ensures AI can retrieve and cite those pages; reports show mentions and position per engine rather than checking one place.
Limits
Both studies have small samples (21 and 20) and run in lab and interview settings; higher trust is not commercial conversion and cannot be used to infer patient behaviour.
References
Run it on your own project
What the same prompts return across 10 engines is only knowable by running them.
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