How AI and Machine Learning Help Drupal in 2025

Today, we can confidently say that AI technologies and machine learning are actively being implemented in various areas of human life. This directly concerns Drupal web development.
And here, quite natural questions arise: how can these technologies be used, where, what benefits can they bring, and much more? 
In fact, the potential for implementing such solutions is incredibly huge. A business's main task is always to improve efficiency and quality of service, attract new customers, and increase the final profit.

AI & ML in Drupal 2025

Drupal is a widely known content management system (CMS). Among its key advantages are free access and completely open source code. We use Drupal to manage, edit, and control a web project. A corresponding admin panel is provided for this. Today, at least 2.5% of sites worldwide use this CMS.
Machine learning is one of the leading areas of AI development. Learning is based on analyzing the provided data and making decisions based on that analysis. In fact, we can consider machine learning a unique way to teach systems to themselves automatically. That is, the system learns based on its own experience. 
Today, solutions such as TensorFlow are widely used. This is one of the most powerful software libraries with open-source code and is focused on machine learning.
If we consider the possibilities of integrating AI, as well as modern machine learning, with Drupal, then we can talk about the following applications:

• improving the quality and functions of search;
• generating tags automatically;
• creating signatures for applications;
• personalization of websites and pages;
• scanning for possible vulnerabilities;
• checking and evaluating grammar;
• generating sentences on a given topic;
• voice control;
• SEO;
• comprehensive scanning of the structure of websites, etc.

The potential for the joint use of such solutions is huge. However, this issue requires a more detailed study.

The Synergy of Drupal Machine Learning and AI

It is safe to say that machine learning and AI are not currently positioned as key functions in Drupal. However, developers are striving to integrate new features to develop and promote sites based on this CMS.
For this, appropriate modules are being implemented that allow you to activate artificial intelligence functions and use machine learning's potential. Custom modules are actively used around the world to add AI-based functions. This concerns personalized recommendations, the implementation of chatbots, image recognition systems, and so on.
Since 2017, Drupal developers have shown increased interest in AI's capabilities and potential. Even then, the issue of personalizing content for corporate websites using machine learning was discussed. Therefore, appropriate tools began to appear gradually in the CMS, which provoked a sharp jump in the platform's development. At the end of 2023, more than 170 modules could be used on Drupal sites. Over 60% have demonstrated excellent stability and compatibility with Drupal 9 and 10.
Currently, Drupal 9 uses 97 AI-powered modules, of which more than 45% have received the "stable" status. In Drupal 10, there are 77 such modules, and the stability rate is 43%. The expansion of new AI-powered features will continue successfully in 2024.

Top 3 Working Solutions

The integration process between Drupal and modern AI technologies is happening incredibly fast. Today, we can already discuss several ready-made and effective Drupal AI solutions that aim to personalize your websites to the maximum extent possible.

1. Augmentor ecosystem. This is a well-known AI platform that allows you to connect several popular services at once. For example, Chat GPT, GPT3, NLP Cloud, Google CV, etc. At the same time, you get access to a fantastic set of functions. For example, these are default widgets for managing responses, selection widgets, extension tags, and so on;
2. Open AI Chat GPT integration. This is another particular module that includes many valuable and practical tools. They all aim to integrate Open AI services into your Drupal-based projects. The module allows you to analyze and create text, multimedia content, and more;
3. OCR document. Here, we are talking about the optical recognition of various characters. This is a kind of bridge between different services to extract text through files and images of different formats, including PDF. It will be much easier to match properties and import the necessary content into Drupal using the module functions. Here, it is worth highlighting the simplicity and ease of settings, different methods for effective conversion, and data saving.

This is only one of the solutions that can already be used today to extract the maximum potential from a site based on Drupal and artificial intelligence functions. 

Is Drupal Powerful Enough to Use AI and ML?

According to some experts, many are interested in the logical question of Drupal's power, which may not be enough. This is a misconception.
The Drupal module ecosystem is diverse and flexible. Therefore, this CMS can be considered powerful enough to integrate advanced features. Today, excellent opportunities for integration with many services and frameworks are open. PyTorch, TensorFlow, and Google Cloud AI are worth highlighting among them. Thus, you can now create even more advanced applications.
By creating new, unique custom modules and expanding Drupal's features, developers have everything they need to implement even the most complex AI models and algorithms into a unique open-source CMS ecosystem. So, it's safe to say that Drupal has more than enough power for artificial intelligence and implementing machine learning capabilities.

How New Features Help Drupal Sites

If you use AI capabilities on your Drupal web project, you will receive an extensive and helpful set of tools. They will help you increase the engagement rates of new users, make the site as convenient as possible, and improve functionality.
Several vital functions realize the full potential of a Drupal site through AI integration:

• providing personalized content for users based on their behavioral factors;
• implementation of functional chatbots that will provide round-the-clock support without the need to use human resources;
• more convenient and fast site search through special filters and AI capabilities;
• dividing media content into thematic catalogs to simplify and speed up the search for the necessary videos and images;
• implementation of voice search and site navigation functions, which greatly simplifies working with the service;
• automatic creation of meta descriptions, summaries, full articles, and posts using AI;
• forecasting possible changes in user behavioral characteristics;
• implementation of multilingual support;
• automatic site preview depends on the region from which the user accesses the page.

The potential for implementing AI in Drupal sites is incredible.

On which Drupal sites can AI be used?

In fact, you can implement AI modules for a Drupal site regardless of the pages' topics. However, several basic examples are worth considering to maximize the benefits and realize the potential of machine learning.

• Healthcare sites. These are ordinary sites and applications. Here, AI can study tests and diagnosis of patients, send correspondence reports and offers;
• Marketing. Almost all sites related to marketing are an excellent basis for realizing the potential of AI. After all, here you can set up behavioral study functions, develop effective strategies, send personalized offers;
• Weather forecast. By analyzing data from different services through AI, you can offer visitors to your service the most accurate and detailed forecasts;
• Financial sector. Here, artificial intelligence tools can help solve customer problems and identify facts of fake documents, fraud attempts, security breaches, etc.

Also, chatbots are an incredibly versatile and effective tool for providing customer support services with little or no involvement from your company's personnel.
It is no surprise that AI and Drupal are actively interacting with each other, and this provides an excellent opportunity to realize the potential of modern machine learning systems.