Drupal's approach to AI has matured quickly. The contributed AI module provides a common foundation that other modules build on, AI features were part of Drupal CMS from its first release, and the community has organized a dedicated effort around AI in Drupal.
That makes it realistic to add AI features to an existing Drupal site without building everything from scratch. The more useful question is which features are worth it. Here is our view, based on what tends to help editors and visitors rather than what makes a good demo.
How AI fits into Drupal
The core idea is a provider abstraction. The AI module lets you connect Drupal to one or more AI providers, such as the major commercial model APIs or a model you host yourself, and other modules use that connection without caring which provider is behind it.
This matters for two reasons. You can switch providers later without rebuilding features, and you can choose a provider based on your own requirements for cost, quality, data location and privacy.
Most features then fall into three groups: helping editors in the admin interface, processing content automatically when it is saved, and improving what visitors experience, mostly through search.
Features worth adding
Alt text suggestions for images
Missing or poor alternative text is one of the most common accessibility problems on content sites. AI can suggest alt text when an image is uploaded, and the editor reviews and adjusts it. This is one of the clearest wins: it saves time on a task editors often skip, and the human review keeps quality up.
Summaries and metadata drafts
Generating a first draft of a teaser, a meta description or a social media summary from the body text of an article. Editors still decide what is published, but they start from a reasonable draft.
Tagging and categorization suggestions
Suggesting taxonomy terms based on the content of a page helps keep large sites consistent, especially when many editors publish. Restricting suggestions to your existing vocabulary avoids an explosion of near-duplicate tags.
Translation drafts
For multilingual sites, machine translation of a draft that a human translator or fluent editor then reviews can significantly reduce turnaround time. For legal, medical or brand-critical text, the review step is not optional.
Better site search
Semantic search, which matches the meaning of a query rather than exact words, can improve results on content-heavy sites where visitors do not know the right terminology. It requires generating embeddings for your content and storing them in a vector index, which adds infrastructure and cost. For a small brochure site, a well-configured traditional search is usually enough. For a large knowledge base or documentation site, semantic search can be a real improvement.
Editorial assistants
Tools that help editors rewrite a paragraph for clarity, adjust reading level or check a page against a style guide. These are useful when they are tuned to your guidelines and genuinely optional for editors.
Features to approach carefully
Fully automated publishing
Generating and publishing content without a human review step creates risk for accuracy, brand voice and search visibility. Search engines are explicit that mass-produced, low-value content is a problem regardless of how it was made. Keep a person in the loop.
Public chatbots
A chatbot that answers visitor questions from your content can be valuable, but it is a bigger project than it looks. It needs careful scoping, testing against real questions and ongoing monitoring before it goes in front of customers.
Agents that change site configuration
Some tools let an AI build content types, views or configuration from a chat instruction. They are impressive for prototyping and learning. On a production site, configuration changes should still go through your normal review and deployment process.
Guardrails before you switch anything on
- Choose providers deliberately. Check where data is processed, whether your content is used for training, and whether the terms fit your contracts and privacy obligations.
- Decide what content may be sent. Unpublished content, personal data and confidential documents may need to be excluded from AI processing entirely.
- Use permissions. Not every role needs every AI feature. Start with a small group of editors.
- Set budgets and limits. Usage-based pricing can surprise you, especially for features that run automatically on every save.
- Log what AI features do, so you can review problems and understand costs.
- Keep humans responsible. Every AI-generated output that reaches the public should be reviewed by someone accountable for it.
Where to start
If you want to try AI on a Drupal site, start with one editor-facing feature that solves an annoying, well-defined task, such as alt text or meta descriptions. Measure whether editors use it and whether quality holds up. Then expand.
That approach gives your team experience with the tools, real data on cost, and a clear sense of where AI helps your particular site, before you commit to anything visitors see.
Considering AI features for your Drupal site? Talk to us and we will help you pick the ones that are worth it.