Who AI recommends, and when it changes.
Data as of Apr 11, 2026 · Based on 17 AI answers · A buyer need in User Research & Testing Platforms. · See how Parse measures this
AI assistants most consistently send this buyer to 
Recommendation share
User Interviews leads at 29% of AI recommendations; Maze follows at 18%.
By platform
Platforms disagree: User Interviews leads on ChatGPT, Maze on Google AI Overviews.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
Why here: Widely seen as the top all-around choice, with a fraud-protected panel and tools for screening, scheduling, and incentives. · 3 sources
Why here: Access millions of pre-screened testers across 130+ countries with sophisticated audience filters. · 1 source
Why here: Academic-oriented platform with diverse demographics and quality controls, suitable for UX tests too. · 2 sources
Why here: Global panel with demographic filters and a rich testing environment, supporting both own users and recruitment. · 2 sources
Why here: Purpose-built for UX research recruitment with detailed screening, scheduling, and incentive management. · 1 source
Why here: UX research suite with an embedded participant panel and CRM-style recruitment tools. · 1 source
Why here: Offers UX testing with a diverse user panel and simple filtering for participant recruitment. · 1 source
Why here: UX research platform with a participant pool that lets you quickly recruit users and set custom screeners. · 1 source
“I need to recruit participants for a UX research study. What are the best participant recruitment platforms?”
AI responds with a list of platforms, with
Prolific
