Structured Data: Are Errors Killing Your SEO?

Structured data is vital for helping search engines understand the content on your website, potentially boosting your visibility and driving more organic traffic. However, implementing it incorrectly can be worse than not using it at all. Are you unintentionally sabotaging your SEO efforts with hidden structured data errors?

1. Failing to Validate Your Structured Data

Before you even think about deploying structured data to your live site, validation is paramount. You might think you’ve implemented everything correctly, but syntax errors and incorrect property values are surprisingly common. I’ve seen countless websites where developers confidently deployed schema markup, only to find out weeks later that it was riddled with errors. Don’t let that be you.

The tool I recommend, and use myself, is the Rich Results Test from Google. Simply paste your code snippet or enter the URL of your page, and the tool will analyze your structured data. It identifies errors, warnings, and suggestions for improvement. Pay close attention to the “Errors” section; these are the issues that are actively preventing rich results from appearing.

Pro Tip: Regularly re-validate your structured data, especially after making website changes. A seemingly unrelated update could inadvertently break your schema markup.

2. Incorrectly Nesting Schema Properties

Nesting refers to how you structure the relationships between different schema types. Think of it like building a family tree – if you connect the wrong branches, the whole thing falls apart. A common mistake is incorrectly nesting an “Offer” within a “Product” schema. The “Offer” should describe the price, availability, and seller of the product. But if it’s not nested correctly, search engines might not understand that the offer belongs to that specific product.

Let’s say you’re selling handmade soaps on your e-commerce site. You’ve implemented Product schema, and you want to add Offer schema to show the price and availability. Make sure the “Offer” is properly nested within the “Product” using the “offers” property. Here’s what that might look like in JSON-LD:

{
  "@context": "https://schema.org/",
  "@type": "Product",
  "name": "Lavender Soap",
  "image": "url-to-your-image",
  "description": "A soothing lavender soap made with natural ingredients.",
  "offers": {
    "@type": "Offer",
    "priceCurrency": "USD",
    "price": "5.00",
    "availability": "https://schema.org/InStock"
  }
}

If you incorrectly nest the “Offer” outside of the “Product,” search engines might not associate the price with the correct product, rendering the schema markup ineffective. As semantic content becomes more important, these details matter more and more.

Common Mistake: Confusing the “itemprop” attribute (used in Microdata) with JSON-LD syntax. Remember that JSON-LD relies on proper object nesting, not HTML attributes.

3. Missing Required Properties

Each schema type has a set of required properties that must be present for the markup to be valid. For instance, the “Product” schema requires properties like “name.” If you omit these properties, search engines might ignore your markup altogether. Think of it like submitting an application without filling out all the required fields – it’s unlikely to be approved.

To illustrate, imagine you’re marking up a recipe using the “Recipe” schema. If you forget to include the “recipeIngredient” property, which lists the ingredients, search engines won’t be able to understand what the recipe is for. This could prevent your recipe from appearing in rich results for relevant searches.

I had a client last year who ran a popular food blog in the Buckhead neighborhood of Atlanta. They were frustrated that their recipes weren’t showing up in the “recipe carousel” on Google. After auditing their structured data, I found that they were missing the “recipeIngredient” property on almost all of their recipes. Once we added this property, their recipes started appearing in rich results within a week.

Pro Tip: Consult the official Schema.org documentation for each schema type to identify the required properties. Don’t rely on guesswork!

4. Using Incorrect Data Types

Structured data relies on specific data types for each property. For example, a “price” property should be a number, while a “description” property should be text. Using the wrong data type can confuse search engines and lead to errors. I once saw a website where the developer used text to represent the price, including the dollar sign (“$”). This caused validation errors and prevented the product from appearing in rich results.

Consider the “openingHours” property for a “LocalBusiness” schema. It requires a specific format (e.g., “Mo-Fr 09:00-17:00”). If you use a different format, such as “Monday to Friday, 9 AM to 5 PM,” the markup will be invalid. To make sure you get it right, check the example formats on the Schema.org website.

Common Mistake: Using relative URLs instead of absolute URLs for image properties. Always provide the full URL to the image, including the “https://” prefix.

5. Overusing Structured Data

While structured data is beneficial, overdoing it can be detrimental. Adding schema markup to every single element on your page, even if it’s not relevant, can be seen as spammy and may be penalized by search engines. Focus on marking up the main content of your page that provides value to users.

For example, don’t add “Product” schema to every image on your website, even if some of those images depict products. Only use it on dedicated product pages where you provide detailed information about the product and offer it for sale. Similarly, avoid adding schema to purely decorative elements that don’t contribute to the overall meaning of the page. Making sure you are using the right strategy is key to winning with your tech content strategy.

6. Ignoring Google’s Guidelines

Google has specific guidelines for structured data implementation. Ignoring these guidelines can lead to penalties, including the removal of rich results. These guidelines cover various aspects, such as content relevance, markup completeness, and spam prevention. It’s important to familiarize yourself with these guidelines and ensure that your structured data implementation adheres to them.

For instance, Google’s guidelines state that your structured data should accurately reflect the content on your page. Don’t use schema markup to promote content that is hidden from users or that is substantially different from what’s visible on the page. Doing so is considered deceptive and can result in penalties.

Pro Tip: Regularly check Google Search Central documentation for updates to their structured data guidelines. They are constantly evolving.

7. Implementing Structured Data on Irrelevant Pages

This is another common pitfall. Structured data should only be implemented on pages where it’s relevant and adds value to the user experience. Adding schema markup to pages that don’t contain the type of content being marked up is a waste of time and can even be counterproductive. For example, adding “Product” schema to a generic “About Us” page makes no sense and won’t provide any benefit.

A good rule of thumb is to ask yourself: “Does this schema markup accurately describe the main content of this page?” If the answer is no, then you shouldn’t be implementing it. Focus on adding structured data to pages that are specifically designed to provide information about a particular topic or entity, such as product pages, article pages, and local business pages. It also helps to future-proof your tech SEO.

8. Not Monitoring Performance

Implementing structured data is not a “set it and forget it” task. You need to monitor its performance to ensure that it’s actually having the desired effect. Are your rich results appearing in search results? Are they driving more traffic to your website? Are they improving your click-through rate? These are all important questions to answer.

Use Google Search Console to track the performance of your structured data. The “Enhancements” section provides insights into which schema types are being detected, how many pages are using them, and whether there are any errors or warnings. You can also use Search Console to monitor your click-through rate and organic traffic to pages with structured data. Make sure your tech budget is being used effectively.

We ran into this exact issue at my previous firm. We implemented structured data on a client’s website, but we didn’t bother to monitor its performance. Months later, we discovered that the rich results weren’t appearing because of a technical issue. Had we been monitoring performance, we would have caught the issue much sooner.

Avoiding these common structured data mistakes can significantly improve your chances of earning rich results and driving more organic traffic to your website. The most important thing you can do right now? Run your site through the Rich Results Test tool and fix any errors you find. It’s a small investment of time that can yield big rewards.