Comscore Repositions AI Analytics Around Real Consumer Behavior

Comscore on September 3 unveiled an expansion of its AI marketing intelligence work, centering the initiative on behavioral data from people who have opted into its digital media-measurement panel. Rather than using synthetic respondents or simulations, Comscore plans to analyze how actual panelists interact with major large language model chatbots—and what they do after receiving a response.

The company’s software-meter technology records panelists’ activity across desktop and mobile media. For AI interactions, that gives Comscore analysts visibility into users’ prompts, subsequent prompt revisions, chatbot replies, recommendations and source links, along with the digital destinations people visit afterward. Comscore Chief Analytics and Technology Officer Smriti Sharma is leading the initiative.

Comscore’s broader digital consumer panel has reached as many as 2 million opted-in users, although Sharma said the usable respondent base for the company’s current AI analytics generally ranges from 500,000 to 1 million people. She estimated that as many as one-third of panelists use AI chatbots daily when making brand-related decisions.

The initiative grew from custom requests submitted by Comscore clients. The company has also produced broader trend reports, including an earlier study of travel and lodging behavior. That research found a threefold increase over two years through December 2025 in the share of panelists making travel-related lodging purchases following AI interactions. More recent Comscore data supplied to MediaPost indicated that the effect associated with sponsored advertising in the category grew fourfold over three months.

For now, Comscore will continue providing custom analytics and periodic category reports to brands and agencies. It is also considering standardized studies and a syndicated research service comparable to the measurement products Comscore and its competitors have traditionally offered for digital and analog media.

The next focus is advertising inside AI services: sponsored placements, promotions and source links that may influence chatbot conversations and eventual purchases. Comscore also expects its measurement framework to follow the development of personal AI agents and agent-to-agent commerce.

For television and streaming advertisers, the shift matters because Comscore is positioning AI conversations as another measurable input for media planning. ConsumerEXP analysis: connecting chatbot exposure with subsequent digital behavior could help buyers assess how AI recommendations and paid placements contribute to discovery, consideration and conversion alongside conventional search, CTV and other media channels.