Businesses have always existed in one form or another. And they’ve always promoted themselves in order to sell their products.
In the late 1990s we saw the development of content marketing as a means to increase brand awareness. More and more businesses began adopting the approach and incorporating it into their marketing strategy plans.
Content management systems (CMS) were initially clunky, but they were a foundation that larger companies needed to explore. On top of cumbersome systems, content management was a time-consuming process, with a lot of monotonous work involved.
eventually, artificial intelligence (AI) was integrated into CMSs, and the concept is now common. AI enables workflows to be automated, speeding up processes and improving accuracy.
Brands know that their audiences want personalized and meaningful content tailored to their situation in each moment. AI makes this possible, by crafting and distributing bespoke content in real time.
The introduction of AI to content management has made a lot of jobs easier and faster. Most companies have reduced the manual work of employees, freeing them up to do more strategic work. This has helped businesses cut costs, increased the productivity of their employees, all whilst upgrading their technologies in competitive markets.
• What is Content Intelligence?
Businesses succeed by turning strangers into customers. Most companies need to develop a strategy for content management which can help them manage all the content required to achieve this goal.
The term content intelligence refers to the process of using AI to analyze and determine the effectiveness of content, and provide actionable insights for a business’ content management strategy.
Content intelligence helps companies to recognize the path through which they can create, manage, and execute successful content with minimum manual work. The most appreciable part of content intelligence is that it provides the same results to businesses of all sizes by playing a pivotal role in managing operations.
• What is Content Automation?
Content intelligence includes factors like big data management, natural language generation, machine learning, and AI to improve the supervisor and formulation of the content of a business.
Content automation is a feature of content intelligence that involves creating content automatically with the help of algorithms.
• The Role of AI in Content Management
Content management is itself not a challenging task, but the things revolving around it can make it challenging.
There has been a remarkable rise in the volume of sales by various businesses after they have started using content intelligence. It’s about making systems smarter and more efficient. The role of AI in custom CMSs is to make work easier and more accurate. The following are some of the key roles that AI plays in content management.
1. Searching Content
The key role of content intelligence is putting the search function into use. Machine learning and data mining technologies help users search for content that they specifically require. Doing this manually takes time, requiring writers to sift through a mountain of existing content in a huge range of locations. AI does this all for you.
2. Chatbot Facilities
Chatbot facilities as part of content intelligence are an additional feature alongside content management. Chatbots enable businesses to have a “personal” interaction with their customers, via a channel preferred by the customer. This could be a webchat window, Facebook Messenger, Microsoft Teams and more. All the user needs to do is type their query in the bot system, and they will get accurate and relevant answers in seconds.
3. Automation with Robots
The several capabilities of AI in content management makes it one of the most effective tools of businesses. Robotic Process Automation (RPA) is a feature through which high volume repetitive actions can be handled.
4. Securing Content
Most businesses’ online content is not secure when managed manually. But using AI in content management ensures content security.
If a business has content that violates relevant terms and policies, it is usually only caught when it is already a problem, or during an audit. However, content intelligence can detect content containing sensitive information in real-time.