AI content is a broad term that encompasses a range of technology. Some of these, such as machine learning, computer vision, natural language processing, and natural language generation NLG, may be familiar to you. These machines use similar ideas to do cognitive tasks similar to or better than humans in various situations.
Gmail uses AI to predict the next word you’ll type in an email and provide an automatic recommendation so you can type faster. Grammarly, a software assistant, uses AI to give advice on how to write better, and your iPhone suggests possible responses to the text message you just received, so you don’t have to think about what to send next. In all cases, AI is used to “read” and “write” human language in various contexts.
Use of Artificial intelligence in content profiling
As per a recent Gartner Survey, Artificial intelligence (AI) has surpassed data and analytics to become the number one game-changing technology. The internet is overflowing with massive amounts of content. By developing a content profile, AI can help you streamline your content creation process.
Content profiling is conducting a comprehensive inventory of all your existing blog posts and web pages to understand their performance and impact on customers better. Artificial intelligence can assist you with content management, saving you several hours of work sifting through outdated blogs on your website. AI can rapidly and effectively run a content audit for your website, letting you know which content pieces lack depth and how to improve them.
AI Content creation
Creating content is a time-consuming process that requires a significant amount of effort from the digital marketing team and thought leaders. Moreover, content marketing is changing, with organizations shifting away from buyer persona-based content to target audience intelligence-based content. Demand for hyper-personalized content intelligence is increasing, making content development a challenging task for content marketers.
AI tools can help marketers with every content-related task. A few of the tasks that can be done effectively with a data-driven approach using AI content marketing tools are- finding keywords, choosing blog posts themes, deciding what to publish on social media, developing landing pages, and writing headlines.
When you use AI in content, this can automate or enhance your marketing efforts with better content performance.
AI-Powered Content strategy Content marketing
One of the most efficient uses of your marketing dollar is content marketing. Outbound marketing creates three times as many leads as inbound marketing. The most important roles for today’s content marketers are content creation and content profiling. Understanding the performance of your content marketing efforts is an equally important aspect of marketing campaigns.
Content marketers and content writers can use Artificial Intelligence tools to get data-driven feedback and insights. Your content development activities will become more productive and successful if you create a constant data-driven feedback loop.