Seven models. Same prompt. Same public data. Some calls that held up. One that needs an asterisk. And a surprise from the Governor's race that the framework got partly right — and partly wrong.
Ahead of California’s June 2 primary, seven AI models were given the same public election data and asked to interpret two of the state’s highest-profile races: the Los Angeles mayoral contest and the California governor’s race. The experiment used public signals only — search visibility, news framing, social momentum, visible proof, and polling context — not private campaign data or proprietary polling.
Did You Feel the Shift? At B3 Media Solutions, we firmly felt the change. We believe this shift is the most impactful change in digital marketing since Google launched in…
After more than a decade of relying on social listening, a leading marketing intelligence expert declares it's time to move on. This manifesto breaks down why tracking brand mentions is like analyzing a crime scene after the fact, revealing how brands miss the real, purchase-driving conversations happening in digital campfires. Discover the F.I.X. Method—a proactive approach to Cultural Sensing that helps you find the human truth in the data and execute on the opportunities your competitors can't see.
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