A digital dashboard showing a world map with glowing nodes over major cities like London and São Paulo, with visual mood boards representing different local cultures.
LONDON · NEW YORK · SÃO PAULO · March 30, 2026 : Unilever is redefining global marketing by prioritizing "empathy" over "reach" through its new AI-powered platform, Maia. This strategic pivot marks a departure from broad-stroke advertising toward a highly localized influencer model. By deploying Maia across 13 key markets: including the U.S., U.K., and Brazil: the consumer goods giant is utilizing artificial intelligence to decode complex cultural nuances that human planners often overlook.
The Maia Framework
The Maia platform acts as a cultural bridge, allowing Unilever to identify influencers who resonate deeply within specific metropolitan hubs. Instead of selecting creators based solely on follower counts, the system analyzes sentiment, local slang, and community trends. This ensures that a campaign for a brand like Dove or Vaseline feels native to a neighborhood in Brooklyn or a district in São Paulo, rather than a generic global message.
A digital interface showing interactive heat maps of consumer sentiment across a global grid, highlighting active hubs in South America and Europe.
Hyper-Local Execution
In practice, this shift moves away from "one size fits all" endorsements. Unilever’s data suggests that "agentic commerce": where AI assistants and niche creators influence decisions: is the next frontier. Using tools like Sketch Pro and Brand DNAi, teams produce culturally specific content in hours. In markets like Indonesia and Brazil, this has resulted in significant organic engagement spikes by tapping into real-time local trends like regional music festivals or seasonal traditions.
Global Scale, Local Soul
The ultimate goal is "Desire at Scale." By integrating AI into the creative process, Unilever maintains brand integrity while empowering local teams to be agile. This shift suggests a future where global giants no longer talk at audiences but engage with them through the voices they already trust. It is a calculated move to humanize technology, ensuring that even as AI scales, the connection remains personal.
