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AI and Content Licensing: What Publishers Should Know 

July 12, 2024

Artificial Intelligence (AI) is revolutionizing many industries, including publishing, and one of the critical areas where AI intersects with publishing is in the world of editorial content licensing. As AI technology continues to evolve, it’s essential for publishers to understand how it impacts content sales and licensing, the opportunities it presents, and the challenges it brings.  

Understanding AI in Content Licensing 

Editorial content licensing traditionally involves granting permissions to use content, such as text, images, videos, and music, under specific terms and conditions. With the advent of AI, this process is becoming more complex, but offers dynamic capabilities to become more efficient. AI technologies, such as machine learning and natural language processing, can automate and enhance various aspects of editorial content licensing.  

5 AI Driven Content Licensing Solutions for Publishers 

  1. Enhanced Protection Through Content Identification and Tracking: AI can analyze vast amounts of data to identify content, track its usage across platforms, and ensure compliance with licensing agreements. The ability to detect unauthorized use of content helps publishers safeguard their intellectual property and enforce licensing agreements. 
  2. Automated Rights Management: AI-driven systems can automate the management of rights, including permissions and renewals, reducing administrative burdens. Zefr provides AI-powered solutions for managing rights and content identification on social platforms and automates content identification and rights enforcement. They also have AI-driven analytics for compliance monitoring and rights management. FADEL also offers similar solutions for publishers needing to manage complex rights and royalties
  3. Improved Revenue Streams: By accurately tracking content usage and ensuring proper licensing, publishers can maximize their revenue from licensed content. Companies like Digimarc, provide digital watermarking technology that embeds imperceptible identifiers into various forms of media, with features that include invisible watermarks that can be detected across different media formats, and tracking and analytics for usage and distribution. This AI solution is best for brands, publishers, and media companies to safeguard their content and enforce licensing agreements.
  4. Better Content Discovery: Enhanced metadata tagging and AI-driven search algorithms make it easier for potential licensees to discover and license content.  AI can enhance metadata tagging and content search, supporting media asset management. Software solutions allow for advanced search functionalities to locate content easily and are best suited for companies aiming to streamline asset management and enhance content discovery.
  5. Consistent Brand Voice: Through AI technology, marketers who support content licensing sales, can develop a consistent brand voice to align with the publishers guidelines. Using these tools, allows the publishing partner to develop marketing materials, like email campaigns and direct mail solutions that hold up to brand standards. With AI companies like Grammarly Business, you can implement tone detection and style guides, ideal for creating consistent email campaigns, social media posts, and other marketing materials.

AI is transforming the landscape of content licensing, offering publishers and their licensing partners unprecedented opportunities to enhance efficiency, revenue, and protection. However, it also brings challenges that require careful consideration and proactive management. YGS Publisher Solutions continues to research and stay informed, investing in the right technologies, training our teams, fostering collaboration, and prioritizing ethics, so publishers and our YGS team can continue to navigate this new era successfully and leverage AI to its full potential. As the publishing industry continues to evolve with AI, those who embrace and adapt to these changes will be well-positioned to thrive in the future.