Jelene Juario
Artificial Intelligence (AI) is no longer science fiction. It has become a behemoth in the marketing field, challenging how we provide and use content daily.
You may wonder: How will AI affect your content marketing strategy? What kinds of AI-based tools have emerged to create change in the marketing industry?
What is AI in Content Marketing?
First, let’s define AI. Artificial intelligence (AI) can learn, decide, and solve problems like humans do.
AI collects and analyzes large amounts of data. Companies are seeing the value of using AI in their business processes. AI-based tools revolutionize important marketing tasks such as content production, optimization, and personalization if marketers can make use of them.
How AI Impacts Content Marketing
Content Production
AI-based content creation systems already exist. Some systems can draft email subject lines, certain ad copy, and what to say in your next email. Gmail’s Smart Compose recommends certain lines in your email and then learns from what you put in them. If you ignore a suggestion, it can offer a different one in the following email.
One company that is scaling content production is Infosentience. The company processes large amounts of data to deliver high-quality content for your brand. Their solution saves you a ton of time and increases confidence in your marketing efforts.
Content Strategy
Content marketers rely on their experiences and instincts to create content strategies. If there is available data, marketers may become overwhelmed by analyzing great volumes of data in a short span of time.
Luckily, AI-based content strategy systems can do the job. They analyze the data from the best performing content, compare that data with other sites and predict the next steps in your content strategy from what to write to what topics perform best. They have the same goal: Provide insights that lead to intelligent content strategies.
One powerful AI-based content strategy system is Crayon. They review 100 types of data from seven million online sources. They analyze data and track changes from competitor websites, providing meaningful insights into their messaging and content strategies. Marketers can learn a lot from competitor data and choose the most relevant topics and content to their audiences.
Search Optimization
AI can help optimize content before and after publication. AI reduces the time and research required to get the most out of optimizing every piece of content. MarketMuse uses machine learning to show the exact SEO to use in certain categories and gather insights to recommend relevant topics and themes for your content strategy.
Content Personalization
What else can AI-based systems do? AI uses data to predict what you will like and tailor content to your interests. Netflix and Amazon use AI to recommend offerings. The same ideas are used to power AI content personalization. These systems learn on-the-go based on user interactions, getting better every time on forecasting what to read, watch, or listen to next.
An emerging platform, Rasa.io, takes over the manual labor of the newsletter production process and generates personalized newsletters based on particular subscribers of your subscriber list. This platform helps better engage readers and learn more about each subscriber on your newsletter list.
Are You Ready for AI in Marketing?
With the rapid adoption of AI-based technology, it is getting harder to ignore the possibilities of using automation and AI-based tools to your advantage. We could look at a future with humans and machines working together to create content.
AI is everywhere, but it won’t replace jobs in content marketing and business development necessarily. AI can only do so much to replace the human touch and tone in content. Instead, using AI-based tools can expand human capabilities, freeing up more time for relevant projects and developing more win-win situations for all.
Learn more about how Content Cucumber can help with your content marketing strategy by clicking here to get started.
