Being an established business, you have probably transitioned to a modern content management system (CMS) platform by now. And perhaps it is helping you manage your content operations at scale and more efficiently. But the question is, is that all? Unfortunately, the answer is no because chances are, you might still not be utilizing its full potential. The hard truth is that implementing a modern CMS is not enough. The right set of technologies, such as Generative AI, must be integrated within it to yield practical results for business users, not just ‘positive,’ and obviously, help them stand out (since every other business is leveraging Gen AI today in one way or another). To be clear, infusing Gen AI in your selected CMS, let’s say Strapi, will enhance its usual performance and help your business create improved, more personalized digital experiences–allowing you to build a unique brand positioning in the market. In a nutshell, infusing Gen AI capabilities into a CMS births the AI CMS concept, which is like “using the same modern CMS, but with better functionalities.”
We all know about the power of Gen AI in transforming industries and how it changes the bare technologies into a power-packed solution that was earlier a dream talk. The same applies in the case of content management systems. It is now becoming the secret sauce of content creation and redefining how content was created, optimized, managed, and delivered in the omnichannel environment 2 years ago. According to a report by Gartner, 30% of outbound marketing content will be generated via Gen AI as it helps in improving productivity and yields the best results as compared to total reliance on human-based content.
This explains the rapid adoption of Generative AI in content management and how businesses are looking to leverage its capabilities to maximize their business ROI. Taking this forward, we will now explore the transformative areas this technology provides when integrated into modern content management systems and how you can utilize this AI CMS for your business.
7 Ways Generative AI is Transforming Modern CMS Platforms
The integration of Generative AI in content management systems is revolutionizing how organizations create, manage, and deliver content to their target audience. This technological advancement offers numerous benefits, starting from personalized content to automated workflows and predictive analytics for advanced content planning. This section will explain how AI content management is changing the world of digital experiences, explained with hypothetical examples.
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Personalized Content Creation and Delivery
Generative AI uses machine learning and deep learning algorithms that give it the ability to process vast amounts of data, such as user behavior, interests, and interactions. Since being introduced into the CMS platform, the processing can be leveraged to make the process of generating and presenting content personalized in a way that it reaches the appropriate audience, is responsive to them, makes their experience richer, and gives them ultimate gratification. AI-powered tools can deliver relevant product recommendations, targeted ads, and personalized emails with higher engagement. This method of eliminating irrelevant information from being sent or used in outreach that primarily grates on your customers is replaced with personalized content experiences–they feel valued, heard, and remembered by your company. And when customers feel like that, they become long-term loyal to your company.
To illustrate, a streaming business can employ generative AI CMS to find patterns in what a user watches and likes based on their previous view and pursue those patterns according to the same analysis, the business now offers customized movies and show recommendations according to their interest. This will keep users interested and promote steady brand loyalty.
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Streamlined and Automated Workflows
Integrating generative AI in content management platforms like Strapi helps in automating routine tasks, streamlining workflows, and allowing your teams to focus on more important tasks like strategy-building for product branding and promotions. AI-powered tools can summarize videos or website data, assisting in the creation of concise content briefs and outlines. And when they are integrated within the CMS, it helps in smart content optimization as well as the easy handling of tasks such as content tagging, metadata generation, and even initial drafting of articles, reducing manual effort and accelerating content production—ultimately improving productivity.
For instance, a news organization can employ AI CMS in their system to automatically tag and categorize articles based on content, significantly reducing the time journalists spend on these administrative tasks and allowing them to concentrate on investigative reporting.
Furthermore, if you wish to build an AI CMS solution for your business, the Strapi development company can be of great help. They will utilize Gen AI capabilities as well as the platform capabilities of Strapi to build a bespoke solution for your business, catering to your unique needs.
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Predictive Analysis for Improved Content Planning
Analyzing customer preferences and predicting what comes next feels like a never-ending grind, right? But that’s not the case with AI CMS. This CMS is again backed by the extensive algorithms of generative AI that leverage historical data to identify and predict trends that may circle the content space. Adobe’s customer journey analytics feature is powered by AI algorithms that study omnichannel user data. Businesses that leverage Adobe Experience Manager as their CMS can utilize this feature to query the data and receive actionable insights to advance their business processes. To build a customized AEM CMS solution, make sure to hire professional AEM solution experts.
This level of prediction and smart insights provided by Generative AI content management helps businesses with improved content planning followed by smart strategy development that promises “practical results”. By analyzing user engagement metrics and content performance, AI can forecast which topics are likely to resonate with audiences, enabling the teams to prepare more effective content plans and work on them accordingly.
Let us understand this with an example, a fashion brand may use AI content management to analyze their past campaign performances and current market trends, predicting which upcoming fashion lines will appeal to their targeted audience. The analytics report they receive will help them create tailored content plans and strategies so that their team can prepare assets and deliver them to the target audience at the right place and via the right channel.
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Boosted User Engagement and Interaction
AI-powered personalization enhances user engagement, and when these capabilities are infused into content management systems, the outcome is a whole new world of digital experiences that were only imaginable a few years ago. The AI-enabled personalization engines and tools are integrated into the CMS, and this is where the magic begins. of analyzing historical user data and creating tailored content that aligns with individual preferences. By analyzing vast amounts of user data and predicting consumer behavior, AI automates the process and generates personalized content, leading to more meaningful interactions.
To understand this case with an example, imagine an eCommerce brand that utilizes generative AI in content management to generate tailored product recommendations based on a user’s browsing and purchase history, boosting the particular user’s engagement with the brand, increasing the likelihood of repeat purchases, and driving customer loyalty.
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Automated Content Translation and Localization
Generative AI is indeed a technology angel as it automates and expedites the process of content translation and localization and quickly translates all content forms in real time, keeping the base intact while enhancing regional customer experience. This effective translation enables CMS platforms to support multilingual audiences effectively. Working as an AI CMS, it ensures that users from different linguistic backgrounds can access and engage with content in their preferred language, expanding the organization’s global reach and improving user satisfaction.
For example, a global news company may employ AI content management to translate articles into multiple languages in real-time, ensuring timely and accurate news delivery to a worldwide audience.
Also read: How Enterprise CMS can boost your content strategy
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Smart Website Optimization
Generative AI plays a key role in optimizing websites for search engines. It holds the capability to analyze search patterns, keywords, and queries. Based on the analysis, it helps businesses enhance their SEO strategies and optimize content accordingly. Gen AI SEO tools are integrated within the CMS, which then suggests relevant keywords, meta descriptions, and content structures to be added to content pieces, ensuring they align with search engine algorithms, improving visibility, searchability, and ranking.
For instance, Writesonic, an AI content creation platform, can be integrated within the CMS platform which helps in smart website content optimization, helping businesses improve their search engine rankings and online presence.
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Open AI Integration for Content Creation and Personalization
The concept of AI CMS allows for seamless Open AI integration where the large language models (LLM) are integrated into the CMS platforms to enhance its content creation and personalization capabilities. These models work similarly to how we interact with ChatGPT (we write a prompt, and ChatGPT analyzes our patterns and generates the best response). Now imagine this same functionality in the Open-AI integrated CMS setup. It is now capable to
generate human-like text, assist in drafting content, and provide creative ideas, thereby augmenting the content creation process and personalization efforts.
For example, Strapi provides an Open AI plugin that combines and blends the capabilities of Open AI’s LLM models into the CMS backend, making it a power-packed AI CMS platform. Let us understand this in detail in the section below.
Strapi’s Open AI Completion Plugin: How it Transforms Content Operations?
Diving deep into AI content management, Strapi launched their very own Open AI completion plugin that allows the Enterprise CMS development company to integrate Gen AI capabilities in the form of Open AI’s LLM models within your backend system and enhance overall content management capabilities, catering to your unique business case. The integration of open AI into the CMS allows your team to generate AI-driven texts (called completion) directly within the Strapi interface by providing a prompt.
How to Install and Run Strapi’s Open AI Plugin?
To add this plugin, the Strapi developers will add an NPM dependency to the application and then include this code:
# If using Yarn package manager, this code will be used-
yarn add @strapi/plugin-open-ai
# If using NPM, this code will be used-
npm install @strapi/plugin-open-ai
After that, they will configure the plugin by adding the Open AI API token into the plugin file and rebuilding the admin panel to apply changes and ensure the plugin functions smoothly.
How Strapi’s Open AI Plugin Works?
Once the plugin is installed and configured, it gets integrated into the “content manager” view of Strapi’s admin panel. Now, to create or update an entry, teams can access the plugin to provide a prompt and receive text completion as a response. Multiple AI models are downloaded and connected with your system when the plugin integration is happening. It is now up to you to choose the best model to generate completion for your query.
Check this example to understand how the game of prompt ⇌ response takes place in the CMS setup:
Suppose you provide a prompt stating: write a product description for a new smartwatch added in the catalog.
Now, the selected AI model will generate a text completion to respond to the input, like:
The new X-Series Smartwatch combines a sleek design with advanced health tracking features, offering real-time heart rate monitoring, sleep analysis, and seamless integration with your devices.
Additionally, here are some customization options you can choose to modify the quality of responses the model generates:
- Model Type: Choose which AI model to use for text generation.
- Temperature: Controls creativity. A lower value (e.g., 0.2) makes the text more straightforward, while a higher value (e.g., 0.8) makes it more creative.
- Max Tokens: Sets the maximum length of the generated text so that you get concise responses.
This plugin helps in automating content creation tasks like writing product descriptions, summaries, or even brainstorming ideas—making it faster and easier to produce quality content within Strapi.
Also read: How Strapi CMS helps in managing content across multiple development environments
Impact of Gen AI in CMS Transformation: Real-World Examples
By now, you must have understood the transformative power of generative AI in content management. To explain it better, let us look at some real-world examples where Gen AI CMS served as an incredible solution for businesses.
- Amarra, a New Jersey-based wholesaler and retailer of special-occasion dresses, integrated AI tools within their system in 2020. They did so to improve their inventory management, customer services, and content creation processes. Kunal Madan, Amarra’s cofounder, said that AI-powered content management has helped them understand their customers better and write amazing product descriptions via integrated ChatGPT API in their backend. This has ultimately helped them reduce content creation time by 60% and significantly improve operational efficiency. Additionally, it also helped them boost the customer experience as 70% of queries are handled by AI chatbot that generates faster responses.
- Another example of Generative AI content management is of the famous American daily newspaper, The New York Times. The paper has recently planned to implement AI tools within its newsroom, where its content team can utilize AI tools for major content processes like editing copies, summarizing information, coding, and writing. This is done to improve their editorial productivity and boost content management. However, as per their Gen AI principles stated in May 2024, Generative AI will only be used for some parts of their content process, and the factual information compiled by Times’ editors will be given more priority, meaning only relevant notations of AI will be utilized in content creation.
Final Verdict
The world of content management is evolving, and generative AI is at the forefront of this evolution. Being the “new powerhouse” of innovation, generative intelligence is changing how content is created, managed, and shared with the target audience. And not just that, its smooth integration into CMS platforms brings the real magic, creating an AI CMS infused with advanced functionalities.
Moreover, generative AI in content management provides various benefits, including advanced content creation and personalization, smart website content optimization, automated workflows, predictive analytics for improved content planning, and boosted user engagement.
But here is the reality check–to achieve these benefits for your business, you need seamless AI CMS integration, and only a professional CMS development partner like Successive Digital can make this possible for you. Basically, it’s high time to step up your business with AI content management. So, take action, deliver exceptional customer experiences, and transform your brand end-to-end. Get in touch with us to discuss how we can help.
