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Home Marketing Content Marketing

AI in Content Marketing: Strategies For Brands

November 29, 2023
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Before ChatGPT became a hot topic, the term ‘artificial intelligence’, mostly often known as AI, was coined in 1956 and has been around for a long time. AI’s rapid application, evolution, and expansion in many industries have transformed how people live and work, including the content marketing industry. 

Many businesses have included AI in their content marketing strategies to enhance their promotional campaigns and get their message across to their audience. Some other corporations have doubts about including AI resulting from various reasons, similar to 1) quality and creativity concerns, 2) bias and ethical issues, and three) lack of authenticity. 

If you furthermore mght have doubts, you need to know that these are usually not necessarily reasons to reject AI in content creation altogether. With proper use of AI, you’ll be able to do quality control with proper interventions, which is crucial for responsible AI integration in content creation. 

Incorporating AI into content marketing requires careful consideration. To make it easier to determine, below are the very best AI content marketing strategies brands and other businesses can pay attention to and follow. 

6 AI Content Marketing Strategies For Brands

Identify Business Goals 

Given that AI has many uses, you need to start to grasp and discover what you are promoting’s goals. Doing so should make it easier to determine how AI would enhance your content marketing efforts. Remember that you would be able to use AI for personalisation, search engine optimisation, data analytics and customer support. 

Select the Right AI Tools 

Once you may have identified your goal for including AI, you need to weigh your options and select the proper AI tool that may increase what you are promoting’s efficiency and productivity. Here is a temporary comparison of the AI tools that you would be able to use for content creation:

Data Collection and Management

AI thrives on data, making data collection and management a critical component of AI content marketing. Brands should gather relevant data from various sources, including customer interactions, website analytics, and social media insights. 

Proper data management ensures that AI algorithms have access to high-quality and relevant information to drive content personalisation and decision-making.

Content Personalisation

Even though AI tools help ease the strategy of content creation, businesses mustn’t forget personalisation to maintain the engagement going.  For brands to deliver content tailored to their audience, they need to be sure that the generated content accommodates the proper voice,  tone,  writing style and other elements that represent them. Personalised content may also help improve customers’ experiences, resulting in higher conversion rates and customer loyalty.

Quality Control

Incorporating AI in content marketing doesn’t end with copying generated content to publishing the materials online. A human intervention is vital to ensure that the standard is consistent across all types of generated content.

Human writers have to read, review, and check the generated content to fact-check information and align it with the brand’s voice and values. In other words, they are going to develop into editors who will address any potential issues that will arise from automated content.

AI Detectors

Besides fact-checking and proofreading, human writers should consider the human content rating. It is a metric that determines if the generated content seems like an actual person and never a robot. 

Writers can use specialised AI detector tools to pinpoint areas that need improvement, from readability to engagement and delivery. Nevertheless, writers mustn’t only concentrate on getting the next human content rating based on the tools’ judgement, but as a substitute critique a content’s quality for the intended readers. Use the detector as a guide as a substitute of a primary basis in your content output. 

Remember that the one purpose of using AI detectors is to find out whether or not the generated content is well-structured, organised, has proper flow, and is grammatically correct. The most significant aspect of content is its ability to attach with readers and contain helpful and relevant information.

Plagiarism Checkers

While it’s true that Google doesn’t go against AI content, businesses ought to be mindful of their usage of AI in their content marketing. After all, Google penalises plagiarised work.

Use plagiarism checkers like Duplichecker to scan your content and discover what parts were considered plagiarised from published content throughout the online. It has a dashboard allowing you to check and contrast highlighted texts flagged as “plagiarised”. The results let human writers easily find and edit parts to extend the individuality of the general generated content. 

Continuous Monitoring and Evaluation

Once you publish generated content in your website, guarantee that you simply repeatedly monitor its traffic. Like original content, you may also have to update generated content on occasion to extend its relevance to your audience. 

Conclusion

AI is not any longer a futuristic concept; it’s a robust tool that brands and other corporations worldwide can harness to boost their content marketing strategies. Businesses can stay competitive in the digital marketplace by leveraging AI for personalization, search engine optimisation, data analytics, and customer support. 

As the world of AI continues to evolve, corporations that embrace these technologies can position themselves to have interaction their audience, drive conversions, and achieve long-term success in the dynamic world of content marketing.

Contact OOm, an award-winning digital marketing agency in Singapore, should you need assistance improving content marketing campaigns to draw more customers and make conversions. 

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