Creators and independent publishers often operate by guesswork: They don’t know if their content will work until it’s already out. Marketers face the same dilemma.
The startup Presaige claims to have a solution for this: an AI platform that predicts image and video performance before publishing. The
product is set to be launched at CES 2026 in Las Vegas next week.
How does this work? Presaige says it scores images and videos on a 1–10 scale, analyzing thousands
of technical and underlying patterns within an image or video. This capability is powered by a machine learning engine
The platform-agnostic tool fits into existing
workflows, the company says. Users can evaluate their content through a web interface, mobile app, or API-based integrations and a plugin for Photoshop.
This beats
traditional testing methods such as focus groups or endless rounds of subjective team haggling, the company argues. In addition, it facilitates fast A/B comparisons and creative decision-making across
social, digital advertising, broadcast, and owned media channels, it adds.
advertisement
advertisement
Publishers and marketers must ask themselves if real-time optimization is enough, or
pre-publication intelligence, Per
They also should determine which decisions should be by humans, and which by machines before content goes live.
“There are measurable
patterns inside visual content that consistently correlate with engagement, even if humans can’t articulate them,” said Mark Littman, CEO and co-founder of Presaige.
The
Presaige model is “designed to surface those signals quickly and objectively, so creative decisions can be based on data rather than opinion,” Littman adds.