Content intelligence
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.
Working principles of Content Intelligence software
The AI works within a certain framework to edit a behavioral analysis of customers and clients. It should able to process a large amount of data in order to give the content strategist an idea about:
- Content trends and efficacy[1]
- How clients react to the content (sentiment analysis)[2]
- The voice and style of the content[3]
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' CMS (content management system), CRM (customer relationship management), or DAM (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.
References
- "What Is Content Intelligence?". www.ama.org. Archived from the original on 2018-06-12. Retrieved 2018-05-23.
- "Introducing Content Intelligence". www.forrester.com.
- "An Introduction to Content Intelligence". www.qordoba.com.
- "Content Intelligence Explained in Five Minutes [Infographic]". www.curata.com.
- "Content Intelligence: The New Frontier of Content Marketing Technology". www.curata.com.
- "Where Content Intelligence is positioned in your company". www.contentintelligence.net.
- "Content Intelligence: Big Data According to Thron". www.thron.com.