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.
I Fed 7 AIs the Same Election Data. Their Disagreements Taught Me More Than Their Predictions.
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.
Plot Twist: Bits Are the New Brand Strategy
There's a pattern emerging in 2026 that's easy to dismiss as noise and that's exactly why most brands are missing it.
5 Easy Steps to Mastering Social Media Reporting and Visualization
As a Social Media Intelligence agency, your ability to communicate insights effectively is as crucial as the insights themselves. In this blog post, we'll delve into our strategies and techniques for mastering the art of reporting and visualization in the dynamic realm of social media intelligence for our clients. Crafting Visually Appealing Reports: Transform your […]
The Great Funnel Collapse: OpenAI Just Killed the Marketing Funnel
OpenAI didn’t just launch a feature. It bulldozed the traditional marketing funnel. Here’s what to do next. Did anyone else feel the marketing ground shaking? There are moments when the entire world of marketing begin to shift. Like the internet becoming a thing. The launch of the iPhone. The rise of Google Ads. The dawn […]
