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Content intelligence

From Wikipedia, the free encyclopedia

Content intelligence is a strategy that uses artificial intelligence systems and software to process content data into reliable insights about the effectiveness of a business’ content.

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Transcription

Working principles of content intelligence software

The AI works within a certain framework to edit the behavioral analysis of customers and clients. It should be able to process a large amount of data in order to give the content strategist an idea about:

The use of content intelligence is therefore connected to the science of big data and artificial intelligence.[4]

Content intelligence is often viewed as an asset for creating and maintaining high-quality content for targeted audiences.[5]

Some ways for companies to achieve content intelligence include implementing or integrating AI into their business' content management system, customer relationship management, or digital asset management technologies.[6] A semantic engine can also be a part of content intelligence software to automatically classify content according to topic or the tags a platform assigns.[7]

Content intelligence software is often sought by marketers, content strategists, UX writers, and product managers.

See also

References

  1. ^ "What Is Content Intelligence?". www.ama.org. Archived from the original on June 12, 2018. Retrieved May 23, 2018.
  2. ^ "Introducing Content Intelligence". www.forrester.com. March 24, 2017.
  3. ^ "An Introduction to Content Intelligence". www.qordoba.com.
  4. ^ "Content Intelligence Explained in Five Minutes [Infographic]". www.curata.com. August 28, 2017.
  5. ^ "Content Intelligence: The New Frontier of Content Marketing Technology". www.curata.com. May 4, 2017.
  6. ^ "Where Content Intelligence is positioned in your company". www.contentintelligence.net.
  7. ^ "Content Intelligence: Big Data According to Thron". www.thron.com.
This page was last edited on 3 October 2023, at 08:44
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