To get the most out of the content you create, transforming it into different formats that could potentially be more engaging is not a bad tactic to practice. And when budgets are tight, and resources are spoken for, repurposing is a great way to get the most bang for your buck.
Other benefits of repurposing content include:
- Maximizing content ROI
- Reaching diverse audiences
- Enhancing content discoverability
- Improving SEO and search ranking
- Adapting to evolving platforms and trends
- Leveraging evergreen content
But what if the process of repurposing content could be made exponentially easier and more effective? With the power of AI tools, it can. While some marketers are apprehensive about AI tools, the truth is that they’re helping us get more done and be smarter about the way we approach and accomplish our goals.
AI technology is revolutionizing the way we write emails, blog posts, and repurpose content. AI blog writers, email writers, and other AI tools are helping marketers automate repetitive tasks, tap into advanced content analysis, and generate alternative versions or adaptations of content. By leveraging AI, marketers can analyze user data and preferences to personalize repurposed content for individual users. AI algorithms can also analyze data, provide insights to optimize content repurposing strategies and adapt content to different platforms and devices, ensuring that repurposed content is well-suited for each specific channel.
We’ve already been discussing a lot about the best practices for creating content with an AI writer. In this article, we’ll discuss everything regarding AI content repurposing: what it is, how it’s beneficial, and various strategies you can employ to improve your process. Let’s dive in.
What is AI content repurposing?
The benefits of AI content repurposing
How to use AI for content repurposing
Some examples of AI content repurposing
Awesome tools for AI content repurposing
The challenges with using AI to repurpose content
What is AI content repurposing?
AI content repurposing refers to the use of artificial intelligence technologies and tools to automate and enhance the process of repurposing content. AI algorithms and machine learning techniques can analyze and understand the content, extract key information, and generate new versions or adaptations in different formats.
By pairing the act of repurposing content with AI technology, the process not only becomes more efficient, it’s revolutionized.
TL;DR Here’s a quick video summarizing this article.
The benefits of AI content repurposing
AI content repurposing offers several benefits, including:
Efficiency and time savings – AI-powered tools can automate and streamline the content repurposing process, saving significant time and effort. This allows content creators and marketers to focus on higher-level tasks while AI handles the more repetitive and time-consuming aspects of repurposing.
Enhanced creativity – AI can generate fresh and innovative ideas for repurposing content. AI can analyze content, identify key themes, and suggest new angles or formats that humans may not have considered.
Scalability and consistency – AI-powered content repurposing enables scalability, allowing you to repurpose content at a larger scale and maintain consistency across different formats and platforms.
Personalization and audience targeting – AI algorithms can analyze user data and behavior to personalize repurposed content for specific audiences. By understanding individual preferences and interests, AI can recommend tailored content adaptations that resonate with different segments of your target audience.
Data-driven insights and optimization – AI can analyze data and provide valuable insights to optimize content repurposing strategies. AI can suggest the most effective formats, platforms, and distribution strategies based on data-driven insights, allowing you to refine your repurposing approach and maximize the impact of your content.
Adaptive content delivery – AI can adapt content to different platforms, devices, and user preferences. It can optimize visuals, format, and structure for specific channels, ensuring that repurposed content is well-suited for the platforms where it will be distributed.
Here’s an example of how Narrato’s AI writer can adapt social media posts to specific channels’ requirements.
How to use AI for content repurposing
When implementing AI content repurposing strategies, consider the following approaches:
1. Identify valuable content assets
Start by identifying existing content assets that have performed well or possess evergreen value. These could be blog posts, whitepapers, videos, or podcasts. Focus on content that can be repurposed into different formats or adapted for various channels.
2. Define repurposing goals
Clearly define your goals for content repurposing. Determine the target audience, platforms, and formats you want to reach. For example, you might aim to repurpose blog posts into videos for social media or create infographics from research reports for visual platforms.
3. Leverage AI-powered tools
Explore AI-powered tools and platforms specifically designed for content repurposing. These tools can automate processes, provide insights, and generate content adaptations. Evaluate different options to find the tools that best align with your needs and goals.
4. Analyze audience preferences
Use AI analytics tools to analyze user behavior, engagement metrics, and demographics. Gain insights into audience preferences for different content formats, platforms, or topics. This data will guide your content repurposing decisions and ensure you are targeting the right audience.
5. Repurpose into multiple formats
Experiment with repurposing content into various formats. AI algorithms can help automate the process by transforming written content into different media formats or generating alternative versions.
AI algorithms can help you repurpose written content into:
- Infographics and visual presentations
- Videos
- Podcasts
- Infographics
- Slideshows
- Interactive quizzes
- Bite-sized social posts
AI algorithms can help you repurpose visual content into:
- Image galleries or slideshows
- Social media graphics or memes
- Short video clips for social media
6. Personalize content for different channels
AI algorithms can analyze user data and personalize repurposed content for specific channels or target audience segments. Tailor content adaptations to suit the preferences and behaviors of each platform’s user base. This approach enhances engagement and increases the likelihood of content sharing.
7. Optimize for SEO and discoverability
Ensure that repurposed content is optimized for search engines. Conduct keyword research to identify relevant keywords for each format and platform. Incorporate these keywords into the titles, descriptions, and metadata to improve search rankings and increase discoverability.
8. Monitor performance and iterate
Continuously monitor the performance of your repurposed content. Analyze engagement metrics, conversion rates, and user feedback to assess effectiveness. Use this information to refine your repurposing strategies, improve content adaptations, and iterate on your approach.
9. Keep content fresh and up to date
Regularly update and refresh repurposed content to ensure its relevance. AI tools can help identify content that needs updating based on trends, industry changes, or new information. By keeping content fresh, you can maintain audience interest and maximize its impact.
Some examples of AI content repurposing
Here are some examples of AI content repurposing:
- Text-to-Speech (TTS): Repurpose blog posts or articles into audio content by converting text to natural-sounding voice recordings. This allows users to listen to the content while on the go or doing other activities.
- Speech-to-Text (STT): Convert video or audio content, such as podcasts or webinars, into transcribed text. This enables search engine optimization (SEO), accessibility for hearing-impaired individuals, and repurposing content for blog posts or social media quotes.
- Video Transcription and Subtitling: Utilize AI to automatically generate transcriptions for videos. Transcripts can be repurposed as captions for better accessibility or translated into multiple languages to reach a broader audience.
- Content Summarization: Condense lengthy articles, research papers, or blog posts into concise and informative summaries. These summaries can be used in email newsletters, social media posts, or as teaser content.
- Language Translation: Translate written content, videos, or audio recordings into multiple languages using AI language translation tools. This helps to expand the global reach of the content.
- Content Personalization: Leverage AI algorithms to personalize content based on user preferences, behavior, or location. This includes personalized recommendations, dynamic website content, or customized email newsletters.
- Image-to-Text: Extract text from images or screenshots, which can be used for indexing and search purposes or to convert visual content into written form.
- Content Curation: Use AI-powered tools to curate and organize existing content into themed collections, resource lists, or “best of” compilations.
- Data Visualization: Convert raw data into visually appealing and easy-to-understand infographics, charts, and graphs using AI-based data visualization tools.
- Article Spinning: Rephrase or rewrite articles automatically using AI-based natural language generation (NLG) tools, producing variations of the original content for diverse platforms.
- Social Media Content Generation: Automatically create social media posts with AI based on longer-form content, such as blog posts or videos, to streamline content distribution on social platforms.
- Content Reformatting: Optimize content for different platforms or devices by adapting its layout, size, and structure. For example, transforming a long article into a series of bite-sized social media posts.
Awesome tools for AI content repurposing
1. Narrato
Narrato AI is a complete suite of AI content creation and management tools that can help you leverage AI at every stage, starting from content planning, creation, and repurposing to publishing.
With Narrato you can repurpose your blog posts into social media content using the many social templates including generating posts from a URL or notes. AI Content Genie – the AI content autopilot feature generates social posts from website content automatically every week or on demand.
Narrato’s AI Content Assistant also has a Text Summarizer using which you can summarize and shorten content for posting on different channels. Or you could use the Text Simplifier and the Content Improver to rewrite complex content in simpler terms, for a wider audience, suitable to publish on various platforms. There is an AI Translator as well for translating and repurposing content in 20+ languages.
There are over a 100 AI templates available on Narrato that you can use to create content in several different formats. And the platform also offers content workflow management and team management features, that allow you to do it all in one place!
2. Open AI GPT-3
OpenAI’s GPT-3 (Generative Pre-trained Transformer 3) is a powerful language model that can be utilized for various content repurposing tasks, including article summarization, content rewriting, and language translation.
3. Canva
Canva is a popular design tool that uses AI to help you create graphics, infographics, and other visual content for repurposing and sharing on various platforms.
4. Lumen5
Lumen5 is a video creation platform that uses AI to turn blog posts and articles into engaging video content. It automatically generates video scenes based on the article’s content and allows customization with images, music, and branding.
5. Datawrapper
Datawrapper is an AI-powered data visualization tool that helps create charts, graphs, and interactive maps for presenting data-driven content.
The challenges with using AI to repurpose content
Even though AI is a wonderful tool to use for repurposing content, there are some challenges you should be aware of.
Ensuring content quality and relevance
While AI algorithms excel at processing and analyzing large amounts of data, they may struggle to fully understand the context, nuances, and intent of the original content. This can result in inaccuracies, misinterpretations, or the generation of content that lacks clarity or coherence. AI algorithms may also face limitations in understanding complex language structures, idiomatic expressions, or domain-specific terminology, leading to subpar content output.
Maintaining consistency across different formats
While AI algorithms excel at generating content adaptations, they may struggle to ensure a consistent voice, tone, and messaging across various formats. Each format, whether it’s a video, infographic, or social media post, has its own requirements, limitations, and stylistic elements. AI algorithms may not fully grasp the nuances and subtleties of the original content, resulting in inconsistencies when adapting it to different formats. Additionally, the visual and interactive aspects of different formats may not align seamlessly with the textual content, making it difficult to maintain a cohesive brand identity and user experience.
Copyright and legal considerations
AI algorithms are designed to analyze, process, and generate content based on existing material. However, this raises concerns about potential copyright infringement and the unauthorized use of copyrighted content. AI algorithms may not inherently understand the legal intricacies of intellectual property rights and fair use principles. They might inadvertently generate content that violates copyright laws or fails to comply with licensing agreements. Additionally, repurposing content from different sources can complicate matters further, as the ownership and permissions for each piece of content may vary.
Ethical implications of AI content repurposing
There is a risk that AI-generated repurposed content may blur the lines between original and AI-generated work, leading to concerns about proper attribution and intellectual property rights. Additionally, the use of AI algorithms for content repurposing can create ethical dilemmas related to transparency and disclosure. Users may not be aware that they are engaging with AI-generated content, which can erode trust and lead to ethical concerns around informed consent and authenticity. Furthermore, AI algorithms might inadvertently perpetuate biases or create content that is misleading, offensive, or harmful. Content creators must exercise ethical responsibility to ensure the content generated by AI algorithms meets ethical standards and is aligned with the values and principles of their organization.
Wrapping Up
AI content repurposing is revolutionizing the way existing content is transformed into new formats and distributed across various channels. By leveraging AI technologies such as natural language processing, machine learning, and generative models, content creators and marketers can efficiently adapt and optimize their content for different platforms and audience preferences. If you are curious about additional resources and concrete examples of how to do AI-powered content repurposing, Feisworld is a great starting point. With straightforward guides and easy to digest tutorials, they cover many use cases for content creators, entrepreneurs and businesses.
The benefits of AI content repurposing are manifold, including increased reach, enhanced engagement, and improved efficiency. However, challenges such as ensuring content quality, maintaining consistency, and navigating copyright and ethical considerations require careful attention. By striking a balance between AI automation and human oversight, organizations can unlock the full potential of AI content repurposing, delivering fresh, engaging content experiences to diverse audiences while upholding quality, relevance, and ethical standards.
Author Bio:
Natalie Slyman is the Content Manager for Benchmark Email, an email automation and lead generation software, and Contacts+, a contact management app.