Navigate a world of content with
the power of machine learning at your fingertips
Better Content, Less Effort
There’s a world of great customer stories out there for brands to leverage in their marketing. But finding the right content, for the right audience can be an overwhelming task.
Co-Pilot navigates this world of content, so you don’t have to.
Using machine learning to observe patterns in the content you publish and how it engages your audience, Co-Pilot makes predictive recommendations to help you deliver authentic, personalized experiences at scale.
How It Works
Co-Pilot continually learns and improves – observing, measuring and evaluating hundreds of data points to build a profile of the content you like and how it resonates with your audience.
Co-Pilot analyzes visual recognition, media metadata, location, language, sentiment and author profile data to gain a deep understanding of each piece of content.
Every click, like, share, vote, view, play and buy is tracked to understand which content is engaging your audience and driving action.
Co-Pilot observes as you curate content – publishing, discarding, tagging and requesting rights – to build a profile of your personal preferences.
Co-Pilot’s machine learning algorithms process this data and apply learnings to each new piece of content as it is aggregated.
The result is a stream of real-time predictive recommendations about content you should publish, discard, tag and rights manage that matches your personal preferences and will perform best with your audience.