Kapost Unveils MessageAI at SiriusDecisions Summit 2019

Kapost Unveils MessageAI at SiriusDecisions Summit 2019

First-Of-Its-Kind Visualization Shows Marketers What Their Content Really Says

Kapost, the enterprise content operations platform, unveiled the company’s first AI-powered capability, MessageAI, at SiriusDecisions Summit 2019. MessageAI leverages machine learning algorithms to visualize content’s message cohesion so leaders can see their alignment to strategy.

“For the first time, marketers have a way to measure what was previously immeasurable and answer the question: Is all of my content aligned to strategy?” said Kapost Chief Marketing Officer Christine Bottagaro. “Before you can measure if your content strategy is effective, you need to know how, and if, content is being consistently delivered across channels, regions, and teams. MessageAI enables marketers to see whether their content is actually saying what it should be saying.”

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For Kapost customers using MessageAI in beta, including GE Digital and SCIEX, the capability’s machine learning engine surfaces patterns across their global content operations to see if, and where, their messages are consistent or fragmented. Advanced filtering allows users to observe message consistency based on critical attributes.

“MessageAI shows you whether or not your core messages are being implemented across your content, so you can see where your content is purposeful and where there may be gaps,” said Riley Gibson, Vice President of Product and Design at Kapost. “MessageAI can sift through a customer’s entire content inventory faster and more accurately than humans can to expose meaningful patterns that reveal if their company’s story is really being communicated via their content.”

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MessageAI is currently in beta and is the first of several machine learning-powered features Kapost plans to release.

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MarTech Series (MTS) is a business publication dedicated to helping marketers get more from marketing technology through in-depth journalism, expert author blogs and research reports.

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