The tool, called AI Listening, is built on Reach3’s conversational research methodologies and measures how recommendations vary by audience and buying context.

AI Listening recreates user and situational context and tests prompts at scale to identify patterns in AI recommendations and help ape the personalised nature of consumers’ experiences using AI platforms for product suggestions.

Client-defined audience personas are combined with demand spaces, or buying occasions, to recreate real-world decision scenarios in the tool, with AI Listening’s full framework using qualitative interviews, quantitative research, mobile ethnography, AI monitoring and vetting of recommendations with real consumers.

Users of the tool can measure AI visibility, understand why recommendations occur and evaluate whether those recommendations resonate with their intended audiences.  

Reach3 said that AI Listening could be used across consumer goods, retail, financial services, health care, travel and entertainment, with Warner Bros. Discovery one of the firms using the tool to understand how audiences discover content.

Patricia Chapin Bayley, senior vice-president and product innovation lead for AI Listening at Reach3 Insights, said: “AI doesn’t respond to everyone in the same way. It responds differently depending on what it knows about the user and the occasion or context they are in.

“We built AI Listening to recreate those real-world situations at scale so organisations can understand how their brands appear in AI recommendations across different audiences, why they’re being recommended and where they have opportunities to strengthen their AI visibility.”