Content Marketing is not new. Creating good content for the Internet, TV, or print has always been vital for attracting the right audience. Traditionally, content effectiveness was based on rating systems for each medium, for example: Share of Households for TV, Cumulative Audience for radio, and Reach for print.
Digital media has its own metrics, such as clicks, time on page, and website traffic. New methods for judging content have been introduced since AI is integrated into search engines, such as Answer Share and Citation Frequency.
AI has increased the complexity of both creating and measuring digital content. Today, excellent digital content depends on both the credibility of the information and its presentation format. Content needs to be supported by authoritative sources and presented in an easy-to-follow hierarchical format to achieve good results.
AI contains aspects of the proverbial good-news/bad-news dichotomy. The good news is that it should be easier to reach very specific market segments. The bad news is that creating the content requires more research, wordsmithing, and testing.
AI also allows for both much longer search terms and longer results. Longer search terms allow for more precise queries, which require equally precise content. And the longer results may challenge the attention span of audiences used to short answers. (Data shows that results are improved when print is combined with digital media.)
Can I create excellent digital content for you? I think so, but it is not as simple as writing monthly blog posts. We will need to work together to define our audience and our message, and then test variations to find the most effective one.
Thank you for reading this post. Let me know what you think.
