How to Use Repurposing AI (Tips, Challenges & Resources)

Save time and boost your reach with AI-powered repurposed content!

Audience Engagement and Growth Strategies
Humphrey Chen
Co-Founder & CEO of CLIPr, ex (AWS, Microsoft, Verizon, VidMob), MBA from Harvard BS

According to a recent survey, around 94% of marketing professionals repurpose their content. While this journey is highly beneficial, manually doing so requires a significant investment of time and creativity.

Fortunately, there’s an efficient yet innovative way to repurpose content — with the power of AI technology. However, using a repurposing AI tool comes with a fair share of challenges. But don't worry: we’re here to guide you through this exciting journey.

Here's a sneak peek of what we'll cover:

  • How to repurpose AI technology for varied applications.
  • Essential resources and tools for AI repurposing across industries.
  • Inspiring case studies showcasing successful AI repurposing endeavors.
  • Expert tips and best practices for effective AI repurposing.

P.S., if you need to repurpose your video content, check out CLIPr — a Video Analysis and Management platform. It's an intuitive platform designed to transform long-form videos into searchable, shareable, and marketable snippets and assets with nuanced reactions and advanced analytics.

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CLIPr.ai homepage

A Brief Overview of Repurposing AI

Repurposing AI, or content adaptation using AI, is a cutting-edge technology that leverages artificial intelligence to transform and optimize existing content for various purposes. This innovative approach is a game-changer for businesses, content creators, and marketers.

Primarily, repurposing AI is designed to take your existing content assets, such as articles, a blog post, YouTube videos, podcasts, or presentations, and intelligently adapt them into different formats. The goal is to enhance the value of the original content and maximize its reach and impact across multiple social platforms and audiences.

Illustration of artificial intelligence

Source: Freepik

Benefits of Repurposing AI

Repurposing AI, when employed effectively, offers a multitude of benefits for content creators and marketers. Here are a few major ones:

  • Time Efficiency: Repurposing AI automates content creation tasks; this, in turn, frees up valuable time for content creators.
  • Cost Savings: By reducing the need for additional human resources, repurposing AI lowers content production costs. It's a cost-effective solution for businesses looking to optimize their marketing efforts.
  • Brand Consistency: Repurposing AI maintains a consistent brand voice and style across all content, reinforcing brand identity. This ensures that your audience receives a coherent message regardless of the platform or channel.
  • Content Scaling: Repurposing AI allows for high-volume content production without compromising quality. It ensures a steady flow of content to maintain a strong online presence.
  • Competitive Advantage: Repurposing AI helps businesses stay ahead by streamlining content production and adapting swiftly to market changes. It fosters agility and innovation in content marketing strategies.
  • Improved SEO: AI-generated content keeps websites updated with fresh material, positively impacting search engine rankings. It enhances online visibility and drives organic traffic growth.

Top 4 AI-Powered Tools to Repurpose Content

Here's a quick overview of the top 4 AI-powered tools to repurpose content:

  1. CLIPr: Best for users with video content, like podcasters, businesses, and publishers.
  2. ChatGPT: A easy-to-use choice for text-first users.
  3. Canva: The best platform for static or semi-static graphics on social media.
  4. DataWrapper: Ideal for data visualization and recommendations.

Let's take a closer look at each one:

1. CLIPr

CLIPr is a revolutionary AI-powered tool designed to maximize the utility of video content. Using advanced machine learning techniques, CLIPr analyzes, categorizes, and indexes video content, making it easily searchable and accessible.

Additionally, it leverages natural language processing (NLP) and computer vision to identify and extract key moments from videos, allowing users to quickly find and repurpose relevant segments. As a result, CLIPr not only enhances content discoverability but also significantly reduces the time and effort required to manage and repurpose video archives.

Use Cases:

  • Content Management: Companies with extensive video upload libraries can use CLIPr to manage their content efficiently. By indexing key segments, CLIPr makes it easy to locate specific topics or moments, streamlining the process of updating and reusing existing content.
  • Education and Training: Educational institutions and training departments can utilize CLIPr to enhance their learning videos. Teachers and trainers can quickly pull out important segments from long lectures or training videos, creating concise, focused content for their students or employees.
  • Marketing and Social Media: Marketers can leverage CLIPr to repurpose webinars and event footage into bite-sized clips suitable for social media posts and other marketing channels. This allows you to create targeted content that engages audiences across social media platforms.
  • Conference and Event Highlights: Organizers of conferences and large-scale events can use CLIPr to generate highlights or summaries of their events. Attendees and those unable to attend can easily access key moments and presentations, increasing the event's reach and impact.
  • Customer Support and FAQs: For customer support, CLIPr can help create quick reference guides or YouTube videos by extracting relevant portions from comprehensive instructional content. This approach can significantly improve customer experience and resource accessibility.

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2. ChatGPT

ChatGPT homepage

ChatGPT, developed by OpenAI, is a revolutionary AI content repurposing tool. Leveraging advanced natural language processing capabilities, this AI chatbot can generate text that mimics human-like comprehension and creativity.

Its ability to process and restructure information makes it an excellent resource for content repurposing. While ChatGPT is commonly known for its conversational abilities, it can also be employed for content repurposing tasks.

Use Cases:

  • Content Creation and Enhancement: ChatGPT can help in content repurposing by converting old content into new formats. For example, it can turn blog posts into a script for a video or a podcast episode.
  • Language Translation and Localization: ChatGPT can translate content into multiple languages, making it easier to reach a broader audience. Additionally, it can localize content to suit the cultural nuances of different regions.
  • Personalized Content Generation: By feeding it user-specific data, ChatGPT can generate a personalized blog post, email report, or even social media posts.
  • Data Summarization: It can summarize lengthy articles, reports, or papers, providing concise versions without losing the essence of the original content.
  • SEO Optimization: ChatGPT assists in optimizing content for search engines by suggesting keywords, creating SEO-friendly titles, and generating meta descriptions.
Pro Tip: While repurposing the content through ChatGPT, refine your prompts based on previous outputs to continuously improve the quality and relevance of the repurposed content.

3. Canva

Canva homepage

Canva, a versatile graphic design tool, is designed to simplify the creation of visually appealing content and revolutionize content repurposing. With its user-friendly interface and extensive feature set, this platform empowers users to transform basic ideas into professional designs.

Moreover, Canva leverages AI to suggest design elements, layouts, and color schemes. This functionality is particularly useful for repurposing written content into engaging, visually appealing formats like social media graphics, presentations, flyers, and infographics.

Use Cases:

  • Social Media Platform Graphics: Canva's AI capabilities enable users to adapt their core visual content to any social media channel quickly. It automatically suggests the optimal dimensions and layouts for platforms like Instagram, Facebook, and Twitter, ensuring that the visual content is always platform-appropriate.
  • Branding Material: Small businesses and startups can utilize Canva to create consistent branding materials. The AI suggests templates and color palettes that align with the brand’s identity, making it easy to maintain a cohesive look across all marketing materials.
  • Presentation Design: Professionals can use Canva to craft engaging presentations. The AI assists in selecting templates and visual elements that match the presentation's theme, ensuring a visually appealing and coherent narrative.
  • Infographics: Canva simplifies the process of creating complex infographics. By inputting data, users can leverage AI to generate engaging and informative graphics, ideal for illustrating reports or social media posts.
  • Marketing Collateral: For marketing teams, Canva’s AI tools are invaluable in creating a variety of materials, such as flyers, brochures, and email headers. The AI’s suggestions help in maintaining brand consistency and visual appeal across social media platforms and other marketing channels.

4. DataWrapper

DataWrappeer homepage

DataWrapper stands out as an innovative AI-powered tool designed for creating data visualizations and interactive charts. It is highly regarded for its simplicity and efficiency, allowing users, especially journalists, researchers, and data analysts, to present complex data in a clear and understandable manner.

Furthermore, the AI in DataWrapper assists in analyzing data sets and suggests the most effective ways to visualize them, such as bar graphs, line charts, or heat maps. This smart guidance ensures that the chosen format best represents the underlying data, enhancing the clarity and impact of the visualizations.

Use Cases:

  • Interactive Reports and Presentations: DataWrapper is ideal for converting complex data sets into interactive charts and graphs that can be easily integrated into digital reports and presentations. This helps in making data-driven points more compelling and easier to understand for the audience.
  • Enhancing the Blog Post and Article: Bloggers and journalists can use DataWrapper to add interactive and informative charts to their articles. This not only enriches the content but also increases reader engagement by presenting data in a more digestible format.
  • Market Analysis: Marketers and business analysts utilize DataWrapper to convey market trends and consumer insights. The AI-driven tools can highlight significant data points and trends, making it easier to communicate complex market dynamics.
  • Educational Material: Educators and trainers find DataWrapper useful for creating interactive educational content. Complex concepts can be visualized, making them more digestible and engaging for students.
  • Social Media Content: For social media managers, DataWrapper offers a way to share data-driven content that is both informative and visually appealing. Whether it's a simple graph or a detailed map, these visualizations can significantly increase engagement on platforms where visual content is king.

How to Use AI for Repurposing Content? Best Tips & Practices

According to SEMRush's State of Content Marketing Report, 42% of marketers reported that their marketing campaigns were successful due to the repurposing of existing content. Want to achieve the same results? If yes, then follow the below-mentioned key steps:

1. Identify Valuable Content Assets

Begin by selecting existing content that has shown good performance or holds evergreen value. This might include a blog post, whitepapers, videos, or podcasts. The focus should be on content that lends itself well to being transformed into different formats or adapted for various channels.

Pro Tip: Analyze user engagement metrics to identify your most impactful content. This ensures your repurposing efforts are focused on content that already resonates with your audience.

2. Define Repurposing Goals

Clearly define your objectives for content repurposing. This involves determining the target audience, platforms, and formats you aim to engage with. For instance, converting a blog post into video content for social media, or transforming research reports into infographics for visual platforms.

Pro Tip: Align your repurposing objectives with your overall marketing strategy. This ensures coherence in messaging across all platforms

3. Leverage AI-Powered Tools

Utilize AI tools and platforms that are specifically designed for content repurposing. These technologies can automate processes, offer valuable insights, and assist in creating diverse content adaptations. Evaluate various tools to find ones that align with your specific needs and goals.

Pro Tip: Regularly update your AI tools to leverage the latest features and improvements for better content transformation.

4. Analyze Audience Preferences

Apply AI analytics to understand user behavior, engagement metrics, and demographics. This information helps identify audience preferences for different content types, platforms, or topics, thus guiding your repurposing efforts toward the right audience.

Pro Tip: Leverage AI to perform A/B testing on your content across different platforms, gaining insights into audience preferences to refine and personalize future repurposing strategies effectively.

5. Repurpose into Multiple Formats

Venture into transforming content into a variety of formats. AI can facilitate this by converting written material into other media types or producing alternative versions. This includes:

Written Content Into:

  • Infographics and visual presentations
  • Videos
  • Podcasts
  • Slideshows
  • Interactive quizzes
  • Bite-sized social posts

Visual Content Into:

Pro Tip: Experiment with AI-driven interactive content like chatbots or AR experiences for deeper audience engagement.

6. Personalize Content for Different Channels

Use AI to analyze user data and customize repurposed content for specific channels or audience segments. Tailoring content to fit the preferences and behaviors of each platform’s user base can enhance engagement and increase the likelihood of content sharing.

Pro Tip: Use AI for real-time content optimization, adapting messaging based on current user interactions.

7. Optimize for SEO and Discoverability

Ensure that your repurposed content is optimized for search engines. For this, conduct keyword research to identify relevant terms for each format and platform, incorporating these into titles, descriptions, and metadata to improve search rankings and visibility.

Pro Tip: Keep track of changing SEO trends and regularly update your content to maintain high search engine rankings.

8. Monitor Performance and Iterate

Continuously track the performance of your repurposed content. Analyze engagement metrics, conversion rates, and user feedback to evaluate effectiveness. Afterwards, use this data to refine your strategies, enhance content adaptations, and evolve your approach.

Pro Tip: Implement AI-driven predictive analytics to anticipate content performance, enabling proactive strategy adjustments.

9. Keep Content Fresh and Up to Date

Regularly update and refresh your repurposed content to maintain its relevance. AI tools can identify content that needs updating based on trends, industry shifts, or new information, helping to keep your audience engaged and maximizing the impact of your content.

Concept of content repurposing

Source: Freepik

Pro Tip: While AI is powerful, it lacks human intuition. Balance AI-generated content with human creativity and insight for the best results.

Challenges & Solutions for Using Repurposing AI

Repurposing AI is a powerful tool that can help organizations and individuals reuse existing content and data in innovative ways. However, like any technology, it comes with its own set of challenges and considerations that need to be carefully addressed.

Here are a few major challenges associated with using repurposing AI along with their solution:

1. Data Quality and Quantity

  • Challenge: Repurposing AI models require large and diverse datasets for training. Obtaining high-quality data can be difficult.
  • Solution: Ensure that the data used for training the AI model is representative and free from bias.

2. Model Selection

  • Challenge: Choosing the right AI model for repurposing tasks can be challenging as there are various models available.
  • Solution: Evaluate different models based on their performance on specific tasks and choose the one that aligns best with your needs.

3. Fine-Tuning

  • Challenge: Fine-tuning the AI model for a specific task requires expertise and may involve significant computational resources.
  • Solution: Plan for the resources and expertise required for fine-tuning to achieve optimal results.

4. Ethical Solutions

  • Challenge: Repurposing AI can raise ethical concerns, especially when repurposing models for potentially harmful tasks.
  • Solution: Establish clear ethical guidelines and boundaries for the use of repurposed AI to prevent misuse.

5. Interpretability

  • Challenge: Repurposed AI models may be complex and difficult to interpret, making it challenging to understand their decision-making processes.
  • Solution: Invest in tools and techniques for model interpretability to ensure transparency and accountability.

6. Data Privacy

  • Challenge: Handling sensitive data in repurposing AI projects requires strict data privacy measures to comply with regulations.
  • Solution: Implement robust data privacy protocols and ensure compliance with data protection laws.

7. Algorithm Bias

  • Challenge: AI models may inherit biases from their pre-trained data, leading to biased predictions in repurposed tasks.
  • Solution: Regularly audit and mitigate algorithmic biases to ensure fairness and equity in AI applications.

8. Security

  • Challenge: Repurposing AI models can introduce security risks, especially if the models are vulnerable to adversarial attacks.
  • Solution: Implement robust security measures to protect AI models and the data they process.

9. Resource Constraints

  • Challenge: Repurposing AI models often requires significant computational resources, which may not be available to all organizations.
  • Solution: Assess your organization's resource capabilities and plan accordingly, considering cloud solutions if needed.

10. User Training

  • Challenge: Users may require training to effectively utilize repurposed AI tools, which can be time-consuming.
  • Solution: Develop user-friendly interfaces and provide training and documentation to facilitate user adoption.

Case Studies of Successful AI Repurposing Projects

Here are some case studies of successful AI repurposing projects:

1. Michael's Store

  • Overview: Michael's Store, a leading arts and crafts retailer, leverages artificial intelligence (AI) to repurpose content. Their focus is on repurposing video tutorials and user-generated content.
  • Result: This AI-driven strategy has proven effective in expanding Michaels Store's online presence and customer engagement. By repurposing content on popular social media platforms like TikTok, Instagram, and LinkedIn, they enhance their brand visibility within the arts and crafts community.
Michael's Store Example

2. ClearVoice

  • Overview: ClearVoice, a content creation agency, strategically employs AI for content repurposing, with a specific focus on social media platforms.
  • Result: By streamlining content for platforms like Twitter and tailoring it to meet the unique requirements of each platform, ClearVoice maintains a consistent and engaging online presence. This approach enables them to effectively connect with their audience across different channels, ensuring that their content remains relevant and resonates with their target audience.

3. Buffer

  • Overview: A well-known social media management company utilized AI for a comprehensive content repurposing strategy. They used text analysis AI tools like GPT-3 and MonkeyLearn to identify top-performing blog posts. These blog posts were then turned into various formats using AI-powered content transformation tools.
  • Result: This strategy resulted in increased engagement across platforms, including a surge in podcast listenership, wider audience reach on different social media platforms, and improved search engine rankings due to SEO-optimized content.

Simplify Video Content Repurposing With CLIPr

Repurposing content through AI presents a dynamic and efficient way to maximize the value of existing content. By following the above guide, content creators and marketers can transform original material into various formats suitable for different platforms and audiences.

Key Takeaways:

  • Create a clear repurposing strategy to maximize the value of your content assets.
  • Challenges like maintaining originality and ethical considerations are crucial.
  • Adapt and tailor your repurposed content for specific platforms and mediums.
  • Maintain a consistent brand voice and style across repurposed content.

If you also want to repurpose video content through AI, you can try CLIPr. Its ability to analyze, categorize, and extract key moments from video content allows you to repurpose video assets effectively. So, integrate CLIPr in your AI repurposing toolkit today and streamline your workflow.

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CLIPr.ai pricing page

Frequently Asked Questions - (FAQs)

What are the cost implications of using AI for the content repurposing process?

The cost of AI content repurposing varies widely, ranging from free or low-cost tools for basic tasks to premium services for complex projects. Businesses can expect to spend anywhere from a few dollars to several thousand per month, depending on the sophistication and scale of the AI solutions employed.

Is an AI content repurposing tool suitable for all industries?

An AI content repurposing tool is highly adaptable and can benefit most industries. Its flexibility in repurposing content forms (blog posts, video content, etc) makes it suitable for sectors ranging from marketing and education to healthcare and entertainment. However, its effectiveness may vary depending on the industry-specific requirements and the complexity of the content.

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