Stop Hardcoding Product Content Into Your Shopify Theme
When a merchant needs to change ingredients, care instructions, or FAQ answers on their Shopify store, they should not need a developer. Yet most stores are set up exactly that way: product details are hardcoded into the theme, which means every edit requires code knowledge or a developer charge.
Shopify metafields and metaobjects exist to fix this problem. They move product content from the theme into a data layer that the brand team can edit through the Shopify admin, no code required. This guide covers what they are, when to use each one, how to set them up, and why doing this also helps search engines and AI understand your products better.
This is written for store owners, ecommerce managers, and brand teams on Shopify who want to stop depending on developers for product content changes. Developers building Shopify stores will see how to structure this work from the start.
Why are you still hardcoding content into the theme?
Most Shopify stores started with a theme from the theme store, then a developer customized sections to hold product information: a product carousel, a FAQ section, tabs for care instructions, certification badges. Those sections were hardcoded to look for content in specific places, and content got placed there by hand, edited by hand, and when you wanted to change it, edited by hand again.
It works, but it has three costs:
First, you cannot reuse that content. If you want the same FAQ on your product page, your landing page, and your email campaign, you have to write it three times and edit it three times when something changes.
Second, the people who own that content (product managers, marketing, customer service) cannot update it themselves. They email a developer or file a request and wait for a slot on a ticket queue.
Third, search engines and AI assistants see that content as part of your theme styling rather than structured product data, so they read it less reliably and rank you for it less often.
Metafields and metaobjects solve all three. They separate product data from presentation. That separation means: one source of truth for each piece of content, brand teams edit directly, and search engines read it as product information rather than design. This is closely related to how a Shopify catalog organizes products by data structure.
What is a metafield?
A metafield is a custom field on a Shopify object like a product, customer, or order. Shopify's help center defines metafields as custom data that you add to existing platform objects to extend what the platform can track.
Instead of storing an ingredient list or care instructions inside your theme, you create a metafield called ingredients on the product object. Your theme can then read that metafield and display it. The merchant updates it in the Shopify admin, not by editing the theme.
Metafields come with definitions that enforce data types. You can say "this metafield is a single line of text" or "a list of colors" or "a link to a page on our site". The definition enforces the structure, so the data is always valid.
Shopify maintains standard definitions for common product fields like brand, material, and care instructions. If your use case matches one of those, use the standard instead of inventing your own.
What is a metaobject?
A metaobject is different. Where a metafield is a single field, a metaobject is a structure that holds multiple fields together. Shopify's documentation says: if your data is best represented by multiple fields, you can use a metaobject to create an object with multiple fields.
Think of an FAQ section. Each question has a question, an answer, and maybe a category. Instead of storing "question one | answer one | question two | answer two" in a metafield (which gets messy fast), you create a metaobject called FAQ Entry with three fields: question, answer, category. Then you can create as many FAQ entries as you want, and each one is structured the same way.
The definition is the template: it says what fields a FAQ entry has, and what type each field is. Entries are the actual content: the 12 FAQ entries for your winter coat product.

When should you use a metafield vs a metaobject?
Use a metafield when the content is a single value or a simple list.
- A color swatch field on a product: single color value. Metafield.
- A set of certification logos: a list of image URLs. Metafield.
- A brand name or maker country: single text value. Metafield.
- A care instruction as a single sentence: single text. Metafield.
Use a metaobject when the content has multiple related fields that repeat.
- FAQ entries: each entry is a question and an answer together. Multiple entries. Metaobject.
- Size guides: each size has a chest width, sleeve length, and torso length together. Multiple sizes. Metaobject.
- Ingredient or nutrition information: each ingredient is a name and a quantity together. Multiple entries. Metaobject.
- Certifications: each certification is a name, a logo, and a verification link together. Multiple certifications. Metaobject.
The rule is simple: if the data naturally groups into sets where each set has the same shape and repeats, use a metaobject. If it is a single value or a loose list, use a metafield.
How do you set up a metafield or metaobject?
Metafields and metaobjects are set up in the Shopify admin under Settings, then Custom data.
For a metafield: Go to Metafield definitions. Create a new definition. Name it, choose the owner object type (product, customer, etc.), choose the data type, and decide whether the field is required or optional. Save. The field is now available on every product in your admin.
For a metaobject: Go to Metaobject definitions. Create a new definition. Give it a name. Add fields one by one, naming each field and choosing its type. Save. You have now created the template.
To add content to a metaobject, go to Content > Metaobjects, then click the metaobject name. Click Create entry. Fill in the fields. Save. You can create as many entries as you need, and each one follows the same structure you defined.
You can also create metafields and metaobjects through the GraphQL Admin API if your store runs a custom app. That is useful when you are building templates for multiple stores or syncing product data from your own inventory system.
How do you display metafields and metaobjects on your storefront?
Display depends on whether your theme supports dynamic sources or if you need to write Liquid code.
Modern Shopify themes support dynamic sources in the theme editor. That means you can select a metafield from a dropdown without touching code. If you find the product template in the theme editor and add a text section, you might see an option to connect the text to a metafield. Choose your metafield, and the storefront displays it automatically.
If your theme does not support dynamic sources, or if you want more control over how the content appears, you write a Liquid snippet. In Liquid, you reference a metafield like this:
{% if product.metafields.custom.ingredients %}
<div class="ingredients">
<h3>Ingredients</h3>
<p>{{ product.metafields.custom.ingredients.value }}</p>
</div>
{% endif %}
For a metaobject, you loop through the entries:
{% for entry in product.metafields.custom.faq.value %}
<div class="faq-item">
<h4>{{ entry.question }}</h4>
<p>{{ entry.answer }}</p>
</div>
{% endfor %}
Your theme code can then style these sections however you want. The point is that the content lives in the metafield or metaobject, not in the theme code.
You can also access metafields through a headless API, which means you can display them through a custom app, a JavaScript front-end, or a headless commerce setup.

Can you update a metafield without republishing your theme?
Yes. Metafields are data, separate from your theme. When a merchant updates a metafield in the Shopify admin, the storefront displays the new content immediately, without any theme republish or rebuild. That is exactly the point: brand teams make changes to the product information layer, and the storefront reflects them without involving a developer.
How does this help search engines and AI?
When content is hardcoded into your theme as styled HTML, search engines and AI assistants read it as part of the design markup. When you structure it as product metafields, it becomes machine-readable product data.
Search engines like Google use structured data (schema markup) to understand what content is about. When you move ingredients, care instructions, and FAQs into metafields, you can pair them with schema markup that says "this is care instructions" or "these are ingredients". Google reads that markup and indexes your product as having those properties. That can improve your visibility in specialized product searches.
AI assistants like Claude, ChatGPT, and others use product structured data to answer customer questions. If you ask ChatGPT "what's the care instruction for this sweater", and the sweater's product page has care instructions as schema markup, ChatGPT can cite them directly. If they are hidden in your theme styling, ChatGPT has to infer them from the page text, and may get it wrong.
Shopify stores that expose metafields as structured data are more likely to be cited accurately by AI search, which is increasingly where customers start their product research.
Do you need a developer to set this up?
Not entirely. Creating a metafield definition and adding content to it is something a store owner or brand manager can do without code knowledge. You go to Settings > Custom data, create the definitions, and start filling in values.
If your theme supports dynamic sources, you can wire up the display in the theme editor without code.
You do need a developer if:
- Your theme does not support dynamic sources and you want to display metafields without writing Liquid code
- You want to access metaobject entries through a custom API for a custom interface
- You want to sync metafield values from an external system (like your inventory management system)
- You want to display metafields in complex layouts or with custom styling that the theme editor cannot handle
A well-built theme makes metafield display easy. A theme that was not built with metafields in mind might require code work. If you are commissioning a new theme or redesign, specify that you want theme blocks and metafield support, so changes stay in the data layer.
What is the workflow for brand teams?
Once metafields are set up, the workflow is simple:
- Product manager adds a new product in Shopify
- They fill in the standard product fields (title, description, price)
- They scroll down to the Custom data section
- They fill in your metafields: ingredients, care instructions, FAQ entries, certifications
- They publish the product
- The storefront displays everything automatically
No developer email, no code editing, no waiting. The brand team works at their own pace and sees changes live immediately.
How do you structure this in your codebase?
If you maintain your own custom theme, build metafield support in from the start.
When you create a product section, build it to read from metafields rather than hardcoding content. Test it with example metafield values. Document which metafields each section expects and what data type it needs.
If you pass your theme to another developer, include a metafield setup guide in your documentation. List what metafields the theme needs, what they store, and where they appear.
When you audit an existing store that someone else built, check whether content is hardcoded or data-driven. If a competitor's store lets the brand team edit ingredients and FAQs in the admin without developer help, that is a competitive advantage. You should have it too.
Moving from hardcoded to data-driven
If you have a store that is already live and its content is hardcoded into the theme, migrating to metafields is usually a small project:
- Create the metafield definitions you need
- Copy the current content into metafield values in the admin
- Update your theme code to read from metafields instead of hardcoded markup
- Test the storefront to confirm nothing changed
- Delete the hardcoded content from the theme
The result is that your brand team gains control, the storefront looks exactly the same, and you have a cleaner codebase.
If you are already using our Shopify product page design guide, you know that page layout and content are separate concerns. Metafields are how you keep them separate in code.
Do you need limits documentation?
Shopify documents limits for metafield and metaobject definitions. These limits exist to keep your store performing well. If you are building a very complex custom data structure, check the official documentation on metafield definitions and the official metaobject documentation to see whether your planned structure fits.
The key is not to create a metafield for every tiny piece of content. Use them for content that changes often or that you want to reuse across pages. Static content that appears once and never changes might not need a metafield.
Metafields and metaobjects are the foundation of self-service content
Once your store uses metafields and metaobjects, your brand team can:
- Update product details without a developer
- Reuse content across pages and channels
- Build searchable and AI-readable product pages
- Scale content updates without bottleneck
If your current setup requires a developer to change a product FAQ or care instruction, that is a sign that your theme is not built for self-service. Metafields and metaobjects are Shopify's answer to that problem.
We help Shopify stores implement this correctly from the start. If you are building a new theme or redesigning an existing one and want to set this up properly, or if you are auditing a store and need to know whether it supports brand-team self-service, we can help.
Free audit. Get in touch or email hello@exactwhy.com with subject "Metafields audit" and tell us what product content your team wants to update most frequently. We respond within 4 hours with whether your current theme supports self-service updates and what it would take to enable it.
Implementation and migration. If you need help structuring metafields for your product catalog, migrating existing hardcoded content, and training your team on the admin workflow, we build that.