Content is the lifeblood of every organization’s communication strategy. Yet, as brands scale, the challenge of maintaining consistent, high-quality, and compliant content grows. That’s where AI steps in, transforming how businesses manage and govern their content.
In this post, we’ll explore how AI can address common pain points in content governance, helping you optimize processes, ensure compliance, and improve overall content quality.
Why Does Content Governance Matter?
Content governance is more than just organizing your content library. It’s about ensuring that every piece of content adheres to your brand’s standards, meets regulatory requirements, and engages your audience effectively. Without proper governance, you risk publishing inconsistent, inaccurate, or even legally non-compliant content.
Now, imagine having AI assist with these tasks. AI doesn't just help manage content — it changes the way we create, review, and distribute it.
How Can AI Solve Your Content Governance Problems?
AI offers solutions to the key pain points organizations face in content governance:
1. Automating Tedious Content Tasks
One of the biggest challenges content teams face is the sheer volume of repetitive tasks. From generating content to ensuring it aligns with SEO best practices, these tasks can be time-consuming and prone to human error.
A study by Accenture found that AI can increase business productivity by up to 40%. In content governance, this translates to faster content moderation and classification.
AI can handle these tasks at scale, such as:
Creating drafts for short-form content
AI tools can generate titles, meta descriptions, and even social media posts with ease. This means your team can focus more on strategy rather than menial tasks.
Optimizing existing content
AI analyzes older content and suggests improvements, helping to keep your website fresh and SEO-optimized.
Improving image selection
AI can select relevant images and even generate them from text, ensuring your visuals align with your content and brand voice.
How can you do it? Read more: How to Enhance SEO Optimization Using AI.
2. Optimizing Workflows
Content creation and distribution often involve multiple teams and platforms, making it difficult to keep processes smooth and efficient. AI-powered tools can help by:
• Automating tagging, formatting, and distribution of content across different platforms.
• Creating centralized hubs where content teams can manage the entire lifecycle — from creation to approval to publication.
For example, Make.com can be used to automate the content creation process by integrating it with tools like ChatGPT. You can copy URLs into a Google spreadsheet, and Make.com will automatically process them via ChatGPT to summarize the content and create posts. The output is then stored in a Google Doc, ready for distribution. This method reduces manual effort and speeds up the content generation process
3. Ensuring Brand Consistency
Maintaining a unified brand voice across all channels is essential for building trust with your audience. However, with numerous contributors and various types of content, ensuring this consistency can be tough.
AI can monitor your brand’s tone of voice by flagging any deviations from your set guidelines. For instance, it can analyze new content and compare it to your previous works to make sure the voice remains consistent across all platforms.
Take Acrolinx, for instance. Their AI-powered platform identifies over 1 billion content violations annually, many of which aren't simple grammar mistakes but issues related to tone and brand consistency. This system ensures that enterprises produce high-quality content that aligns with their standards, without needing extensive manual oversight.
4. Mitigating Risks and Compliance Issues
Compliance is another critical aspect of content governance. Whether it’s avoiding copyright infringements or meeting industry-specific regulations, staying compliant can be a headache.
AI helps by scanning text, images, and videos for potential compliance issues. It can detect plagiarism, ensure content authenticity, and help your organization stay ahead of evolving regulations. For example, AI can automatically flag content that might violate copyright laws, helping avoid costly legal repercussions.
In the case of the American Marketing Association (AMA), AI was used to manage newsletter content for over 100,000 subscribers. They adopted rasa.io, an AI solution that enables sending truly personalized email newsletters to each subscriber. The AI system curates content from various sources, including AMA's original content, trade publications, websites, RSS feeds, blogs, and social media channels.
The AI-powered approach resulted in significantly higher reader engagement:
• 42% of subscribers are actively engaged on a monthly basis.
• The newsletter achieves a 48% average open rate, surpassing industry standards.
This case study demonstrates how AI can effectively automate content governance tasks like maintaining brand consistency, personalizing content for large audiences, and improving engagement, all while scaling to manage over 100,000 subscribers.
Why AI Is Important for Modern Content Governance
A report by MarketsandMarkets estimates that "The global AI in content management market size is expected to grow from USD 1.0 billion in 2020 to USD 4.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 35.1% during the forecast period." This significant growth projection underscores the increasing adoption of AI in content management.
AI is no longer a luxury for content teams — it’s a necessity. As organizations scale, the complexity of content governance will only increase. AI not only addresses the pain points related to time, consistency, and compliance but also ensures you’re creating content that is both efficient and impactful.
By leveraging AI for content governance, you’re not just improving processes. You’re transforming your content strategy for the better, ensuring a seamless, efficient, and compliant content experience.
So, how will you leverage AI in your content governance strategy?
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