According to research conducted by Accenture, AI technology can improve business productivity by 40% and can double economic growth rates by the year 2035. That could be linked to the 84% of global business organizations believing that AI can give them a competitive advantage—the conclusion to Statista’s 2017 AI study.
Today, there is more demand for informative and unique content. The good news is, there are new tools available to generate it without compromising the quality. With AI tools, marketers can take advantage of predictive analytics, automate content initiatives, improve personalization and targeted content, and more.
AI technology is quickly changing the way marketers create content. While there are still some kinks to work out, AI-generated marketing strategies have already proven more efficient – and in some cases may be more effective – than human-driven ones. Read further to know more about the AI tools used in content creation and the benefits they bring.
How AI Tools Used in Content Creation
Marketers are constantly finding ways to engage their audiences fully. AI-powered content creation helps meet this need by allowing marketers to create engaging, high-quality posts with ease.
It also saves time and allows them to focus on being creative and spend less time figuring out the content that suits their audiences. Additionally, they have access to a larger pool of topics because the software provides them with relevant ideas, so there is no excuse not to find something related to your brand.
Here are some of the reasons why marketers should use AI in content creation.
Enhanced Personalization and Targeted Contents
The top priority of marketers is to provide their audience with personalized content—proven to influence customers’ perception of a brand positively. That is why giving them tailored and targeted content is the primary goal of creatives.
Personalization of content has become fast because of advancements in AI. With machine learning, marketers can track consumer preferences and behavior and their content interaction. CaliberMind, Personyze, and Granify are machine learning tools that provide essential content experiences, boosting conversions and engagements.
In addition, AI can personalize email marketing campaigns and assist you in developing high-personalized applications.
Advanced Predictive Content Analytics
Predictive analytics is one of the most valuable tools in statistics, data mining, and predicting future outcomes. Businesses should pair it with AI to identify their prospective audience and anticipate their responses.
Social Media Content Evaluation
AI can track your social media content’s performance. As you know, most marketers use customer demographics in developing their content distribution strategies. With AI-powered software, you can also collect and analyze customer values, locations, and behaviors that will help in improving your social media campaign.
New Topics and Keywords
Today, the algorithm has become smarter in predicting users’ interests and has become a vital tool in creating content focusing on user intent. Marketers use AI-powered intent analysis to generate content appealing to users’ intentions to boost their online ranking.
With the advent of AI, there are now tools for topic generation and keyword search. They can find keywords’ search volume, organic competition, search demand, difficulty score, and other metrics. With these tools, marketers can create customer-specific content faster. Some of its examples are MarketMuse and BrightEdge.
Automating Content Initiatives
Although AI cannot generate entire articles, it can help you create data-specific content like news updates, reports, or tweets through natural language generation technology. Natural Language Generation (NLG) is a branch of AI that offers real-time content suggestions and enables marketers to generate personalized and targeted content.
For example, e-commerce firms need to make thousands of product descriptions for online catalogs. NLG can automate this content, saving time and resources.
Here are the other functions of NLG:
- Assist amateur writers in copyediting
- Create various highly personalized content
- Analyze the effectiveness of content and suggests alternatives
- Auto-generation of editorial texts
Chatbots Utilization
Another AI-powered tool is chatbots that can help you communicate better with customers and self-create content. It can facilitate customers to create more user-generated content.
For instance, in Spotify’s chatbot, subscribers can inquire about their accounts, discover new song releases, and choose music their friends might be interested in. Consequently, they can share recommendations with them within the platform.
User-Generated Content
A study showed that user-generated content has more influence over consumer’s buying decisions than other marketing strategies. With visual recognition technology that analyzes images and identifies products, you can collect brand-related content shared or posted by customers on various social media platforms.
You can use the generated data for marketing purposes and better understand what will work best for your audience. Moreover, it can increase your online presence and brand’s visibility.
Conclusion
Creating content with AI-powered tools is the way of the future. Using AI-powered tools will help improve the process of creating engaging content that converts. Do not wait any longer to start using them in your marketing. They will help you increase quality and save time, among many other benefits that only continue to grow as technology does.
