
How to get started with structured content
Structured content is not about modeling everything at once. It is about starting smart, with the content that actually matters most.
Written by Amanda Kloster on
Structured content can sound big and technical. In practice, it is about something simple: making content easier to find, update, reuse, and understand.
You don't need to start with the entire website or model everything at once. Instead, begin with the content that creates the most value, or the most frustration when it doesn't work.
Here are six practical steps to get started.
1. Find the content that should be structured first
Start with content that is frequently updated, used in multiple places, or needs to be completely accurate.
This could be:
- service descriptions and product information
- opening hours and contact information
- frequently asked questions
- guides and help texts
This is often content that multiple teams rely on, and which quickly creates problems if it is copied, stored in multiple places, or updated manually.
A good question to start with is:
What content do we often end up copying, pasting, or updating in multiple places?
That is usually where you will find the best place to start.
2. Break the content down into meaningful parts
The next step is to look at what the content actually consists of.
A service description, for example, is not just one block of text. It can consist of the service name, a short description, target audience, price, contact information, and frequently asked questions.
When these parts get their own fields in the publishing tool, the content becomes easier to use in multiple ways. The website can display the full description, an app can extract just the target audience, and a chatbot can use the questions and answers directly.
3. Define content types, not just page templates
Many start with how a webpage should look. That is natural, but structured content starts somewhere else: with what the content actually is.
Is it an article? A service? A person profile? An event?
When you define the content type first, it becomes clear which fields are needed, which are mandatory, and how the content can be used further. It helps editors fill in the correct information, while developers and AI systems get a more precise data foundation to work with.
4. Make the model simple enough to use
Structure should help editors, not slow them down.
Too little structure leads to clutter. Too much structure leads to friction. Therefore, start with the fields you actually need, and test the model with those who will use it in their daily work.
Ask the editors:
Is it clear what needs to be filled in? Does the model make publishing easier, or more cumbersome?
A good content model is not just technically correct. It must work in a busy everyday life.
5. Clarify ownership and quality
When content is to be reused across channels, the quality of the source becomes extra important. If an error sneaks into central content, the error can quickly appear in multiple places.
Therefore, it must be clear who owns the content, who can update it, and how often it should be reviewed.
This is particularly important for content such as prices, opening hours, contact information, terms, and service descriptions.
Structured content is therefore just as much about responsibility and workflow as it is about technology.
6. Start small and build further
It is tempting to create a large content model that will cover all future needs from the start. That is rarely a good idea.
Instead, begin with one or two content types that have clear value. Build them well, test them in practice, and adjust based on the experiences you gain.
Start small, learn quickly, and build further when you see what actually works.
How Enonic supports the work
This is a way of working that Enonic is designed to support.
In Enonic, organizations can define their own content types with fixed fields, rules, and relationships. It gives editors a tidy and predictable workspace, while developers get a structured data foundation they can build upon.
The content is managed in one central place and can be distributed across websites, apps, internal systems, and AI solutions. This makes Enonic well-suited for organizations with a lot of content, multiple languages, or the need to publish consistently across multiple channels.
In short
Getting started with structured content is not primarily about technology. It is about understanding what the content consists of, who owns it, and where it will be used.
When you start there, the path to an AI-ready content foundation becomes both practical and manageable.
