One of the most interesting qualities about AI technology is that the benefits are virtually limitless. Nearly every industry stands to gain in some way from the power of machines, and this technology is just as relevant to content marketers as it is to the most complex tech companies.
However, it seems that the integration of AI and marketing is only beginning to grow. Today, nearly 40% of marketing departments report that they are adopting AI into their strategies, and the majority do believe that the technology could make positive improvements to their tactics.
Although AI technology has nearly endless amounts of potential for ALL business operations, there is clear evidence that it can be especially useful for content marketers. If your marketing department is weighing the options of how it could benefit from AI, or is looking for inspiration on where to begin, here are three clear-cut areas where this technology can support a strong content strategy.​
Ideation is never easy. Year after year, the process of creating engaging content is reported as marketers’ top challenge. This is especially true for brands that focus on curating content for topics that require intense research and knowledge.
The key to staying relevant in the ever-increasing noise of the echo chamber is by providing meaningful and relevant insights, making bold claims, and showcasing expertise. With AI technology, content marketers have access to data reports that can guide their ideation and creation processes so each piece of content is highly targeted to the core audience.
AI systems like Scoop.it can help support a more strategic curation process by analyzing audience sentiment to understand the subjects and niches that pique their interest.
AI-based predictive analysis systems can calculate audience reactions and sentiment with various topics to give content marketers a feel for which subjects will gain the most traction. data-driven tools can also provide reports in regards to shifts in the market that could signal topics that will soon generate buzz.
The insights from AI systems can then be used to create high-value content assets, such as tutorials, whitepapers, webinars, and long-form content. These types of thought-leadership assets are heavily based in research and can be especially influential for building brand trust, credibility, and even increasing conversion rates. Furthermore, these assets can be used as a revenue stream. For example, you can repurpose the content as an eBook to sell on your website.
By using AI-assisted data, creative and marketing teams can craft messaging that matches up with what their ideal customers are looking for.
Creating content that is specific to each viewer has been a top priority for many marketers as of late, but the execution of this process is often quite difficult.
