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What is Structured Data as it Relates to SEO?

| By Austin Lewis

9 minutes

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Structured Data Graphic

When we are working with search engine optimization (SEO) and generative engine optimization (GEO), structured data has become a key component in improving online visibility and driving targeted traffic. While traditional SEO focuses on optimizing content and keywords, structured data adds an extra layer that helps search engines better understand your website’s content, leading to enhanced rankings and rich search features.

Here, we’ll break down what structured data is, why it matters for SEO, and how it can give your site an edge in search engine results.

What is Structured Data?

Structured data refers to organized and standardized information that helps search engines interpret and display content in a more meaningful way. It’s typically written in specific formats such as JSON-LD, HTML Microdata, RDFa, Twitter Cards, Open Graph (OG) Markup, and even simple HTML tags such as <ol> and <ul>. These formats ensure that search engines not only understand the content of your page but can present it in a more engaging format in search results.

When implemented correctly, structured data can lead to rich snippets, knowledge panels, and other SERP (Search Engine Results Page) features that help your website stand out.

Examples of How Structured Data Appears in Search Results

JSON-LD, HTML Microdata, and RDFa as Schema.org

Recipe Schema Example

Recipe Schema in SERP

Recipe Schema allows your webpage to be featured this way in SERP.

FAQpage Schema Example

 

FAQpage Schema allows questions from any given webpage to be featured in SERP with their corresponding answer.

Examples of Structured Data Formats

  1. JSON-LD (JavaScript Object Notation for Linked Data)

This is the most commonly used format for adding structured data to a web page. JSON-LD is easy to implement and supported by major search engines, including Google.

Example:

<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Running Shoes",
"image": "https://example.com/images/running-shoes.jpg",
"description": "Lightweight running shoes for maximum comfort.",
"sku": "12345",
"brand": {
"@type": "Brand",
"name": "BrandName"
},
"offers": {
"@type": "Offer",
"priceCurrency": "USD",
"price": "79.99",
"availability": "https://schema.org/InStock"
}
}
</script>
  1. HTML Microdata

HTML Microdata allows you to embed structured data directly into your HTML elements, making it easier for search engines to interpret the content.

Example:

<div itemscope itemtype="https://schema.org/Product">
<h1 itemprop="name">Running Shoes</h1>
<img src="https://example.com/images/running-shoes.jpg" itemprop="image" />
<span itemprop="description">Lightweight running shoes for maximum comfort.</span>
<div itemprop="offers" itemscope itemtype="https://schema.org/Offer">
<span itemprop="priceCurrency" content="USD">$</span>
<span itemprop="price">79.99</span>
<link itemprop="availability" href="https://schema.org/InStock" />
</div>
</div>
  1. RDFa (Resource Description Framework in Attributes)

RDFa is another way to embed structured data directly within HTML, offering greater flexibility and alignment with the semantic web.

Example:

<div vocab="https://schema.org/" typeof="Product">
<span property="name">Running Shoes</span>
<img src="https://example.com/images/running-shoes.jpg" property="image" alt="Running Shoes" />
<span property="description">Lightweight running shoes for maximum comfort.</span>
<div typeof="Offer" property="offers">
<span property="priceCurrency" content="USD">$</span>
<span property="price">79.99</span>
<link property="availability" href="https://schema.org/InStock" />
</div>
</div>
  1. Twitter Cards

Twitter Cards provide a way to enrich your tweets with structured metadata, allowing users to preview rich content, like images or video, when sharing your web pages on Twitter.

Example:

<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:site" content="@yourbrand" />
<meta name="twitter:title" content="Running Shoes" />
<meta name="twitter:description" content="Lightweight running shoes for maximum comfort." />
<meta name="twitter:image" content="https://example.com/images/running-shoes.jpg" />
  1. Open Graph (OG) Markup

Originally created by Facebook, Open Graph (OG) Markup allows your content to be displayed in rich format when shared on social media platforms, including Facebook and LinkedIn.

Example:

<meta property="og:title" content="Running Shoes" />
<meta property="og:type" content="product" />
<meta property="og:image" content="https://example.com/images/running-shoes.jpg" />
<meta property="og:description" content="Lightweight running shoes for maximum comfort." />
<meta property="og:url" content="https://example.com/product/running-shoes" />

How Microdata, RDFa, and JSON-LD Are Used to Install Schema.org

Schema.org is a collaborative effort between major search engines like Google, Bing, and Yahoo to create a standardized set of structured data types. By using Microdata, RDFa, or JSON-LD, you can implement Schema.org vocabulary on your website to help search engines better understand and classify your content. Let’s take a look at how these formats are used to install Schema.org:

  1. Using JSON-LD for Schema.org

JSON-LD is the most widely recommended format by Google for adding Schema.org markup. It allows you to include all your structured data inside <script> tags, separated from the HTML body, making it easier to manage.

    • Advantages: Simple to implement, flexible, and doesn’t interfere with the visual presentation of the web page.
    • Best for: Large-scale implementations and scenarios where you want a clean separation between your content and structured data.

Example:

<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Point Source Marketing",
"image": "https://example.com/images/logo.jpg",
"address": {
"@type": "PostalAddress",
"streetAddress": "123 SEO Lane",
"addressLocality": "Marketing City",
"addressRegion": "CA",
"postalCode": "90210",
"addressCountry": "US"
}
}
</script>
  1. Using HTML Microdata for Schema.org

Microdata integrates directly within your existing HTML elements. By tagging specific content with attributes like itemscope, itemtype, and itemprop, you can embed structured data in your HTML, making it visible to search engines.

    • Advantages: Works seamlessly with HTML, suitable for smaller websites.
    • Best for: Web pages that require inline metadata integration without additional JavaScript.

Example:

<div itemscope itemtype="https://schema.org/LocalBusiness">
<span itemprop="name">Point Source Marketing</span>
<img src="https://example.com/images/logo.jpg" itemprop="image" />
<div itemprop="address" itemscope itemtype="https://schema.org/PostalAddress">
<span itemprop="streetAddress">123 SEO Lane</span>
<span itemprop="addressLocality">Marketing City</span>,
<span itemprop="addressRegion">CA</span>,
<span itemprop="postalCode">90210</span>
<span itemprop="addressCountry">US</span>
</div>
</div>
  1. Using RDFa for Schema.org

RDFa adds structured data to your HTML by embedding it within attributes. Like Microdata, RDFa can be used directly in HTML tags but is more flexible, supporting complex relationships between elements.

    • Advantages: Compatible with both HTML and XHTML, more expressive and capable of linking across multiple data sources.
    • Best for: Complex websites requiring a more advanced data representation and connectivity.

Example:

<div vocab="https://schema.org/" typeof="LocalBusiness">
<span property="name">Point Source Marketing</span>
<img src="https://example.com/images/logo.jpg" property="image" alt="Point Source Marketing Logo" />
<div property="address" typeof="PostalAddress">
<span property="streetAddress">123 SEO Lane</span>
<span property="addressLocality">Marketing City</span>,
<span property="addressRegion">CA</span>,
<span property="postalCode">90210</span>
<span property="addressCountry">US</span>
</div>
</div>

Why Structured Data Matters for SEO

Search engines aim to provide the best user experience by delivering the most relevant and useful content. Structured data helps them accomplish this by giving deeper insights into what your content represents.

SEO graphic

Here’s how structured data impacts SEO:

  1. Enhanced Search Visibility

One of the main advantages of structured data is its ability to generate rich snippets. These are visually enhanced search results that stand out from standard listings. For example, product schema can show ratings, prices, and availability directly in the search results, drawing more clicks.

  1. Better Performance in Voice Search

Voice search is growing rapidly, and structured data helps voice assistants like Siri, Alexa, and Google Assistant understand your content better. When users ask questions, AI systems often pull structured data to provide direct answers.

  1. Boost Topical Authority

By utilizing structured data, you help search engines connect the dots between different content on your site, reinforcing your authority on certain topics. This can improve your rankings for related search queries, as search engines will view your site as a more reliable source of information.

  1. Increased Rich Results

Google often provides rich results like:

    • Featured snippets that give direct answers.
    • Knowledge panels with details about businesses or individuals.
    • People Also Ask sections for related queries.

Structured data helps ensure your site is eligible for these rich results, improving your visibility.

  1. Contextual Understanding

Structured data helps search engines understand the context of your content more accurately. For competitive queries, this can be the difference between ranking high or not appearing at all.

How Simple <ol> or <ul> Tags Can Act as Structured Data for Search Engines

While structured data typically refers to more complex formats like JSON-LD, Microdata, and RDFa, it’s important to note that even basic HTML elements like ordered lists (<ol>) and unordered lists (<ul>) can function as a form of implicit structured data. These tags help search engines better understand and parse the content, especially when you’re presenting step-by-step instructions, lists of features, or related items.

Search engines, including Google, can interpret these tags to provide rich results like featured snippets, especially for queries related to instructions, lists, or rankings. Here’s how simple lists can impact your SEO:

  1. Organizing Content for Clarity

Using <ol> and <ul> tags organizes your content in a hierarchical structure, making it easier for both users and search engines to understand. When search engines see these lists, they can infer that the information is grouped and presented in a particular order (in the case of <ol>) or a collection of related items (in the case of <ul>).

    • Ordered lists (<ol>): Used to denote items that follow a sequence or ranking, such as step-by-step instructions or numbered guides.
    • Unordered lists (<ul>): Used to present items of equal value or importance, like features of a product or related services.
  1. Featured Snippets and Position Zero

Google often pulls content from ordered or unordered lists to create featured snippets or position zero results, which appear at the top of the search results. Lists are commonly used in response to “how-to” or “what are the best” queries.

    • Example of a Featured Snippet from an Ordered List:
      <ol>
      <li>Step 1: Install Schema Markup.</li>
      <li>Step 2: Add Structured Data to your site.</li>
      <li>Step 3: Test and validate using Google’s tools.</li>
      </ol>

      This could be shown by Google in response to a query like “how to implement structured data,” with each step appearing as a numbered snippet in the SERPs.

    • Example of a Featured Snippet from an Unordered List:
      <ul>
      <li>Affordable Pricing</li>
      <li>High-Quality Products</li>
      <li>Excellent Customer Service</li>
      </ul>

      This might appear as a snippet when a user searches for “benefits of shopping at [your store]”.

  1. User Engagement and Readability

Properly formatted lists help improve user experience, which is a key factor in SEO. Lists break up large chunks of text, making your content easier to scan and digest. This keeps users engaged with your content longer, which reduces bounce rates—a positive signal to search engines that can help improve your rankings.

  1. Providing Hierarchical Data

Even without formal schema markup, lists inherently provide a hierarchical relationship between items. For example, an ordered list shows that one item logically follows another, and an unordered list shows that all items are of equal importance. Search engines use this implicit structure to better categorize and present the content in relevant queries.

  1. How Search Engines Interpret Lists

When search engines crawl a page, they identify list structures as content that has been deliberately organized for clarity. In many cases, Google will use lists as a way to summarize long-form content. For example, in an article about “The Best Ways to Optimize for SEO,” a search engine could pull an unordered list that highlights the most important points, such as:

<ul>
<li>Use structured data like JSON-LD for better visibility.</li>
<li>Optimize title tags and meta descriptions.</li>
<li>Build topical authority through high-quality content.</li>
</ul>

This type of list is likely to get featured in a People Also Ask section or even appear as a top snippet.

Best Practices for Using <ol> and <ul> Tags for SEO

  • Keep Lists Relevant: Use ordered and unordered lists only when they enhance readability or logically group related points. Don’t overuse them for decorative purposes.
  • Use Ordered Lists for Step-by-Step Processes: Whenever you’re explaining processes or sequences, use <ol> to show progression. This makes it easier for Google to feature your list in “how-to” search results.
  • Ensure Each List Item is Clear and Concise: Lists should be made up of short, informative items that are easy for users (and search engines) to understand.
  • Avoid Nesting Lists Too Deeply: While you can nest lists, try to avoid going more than one level deep, as overly complex lists might confuse both users and search engines.

Why You Need Structured Data

Structured data is an essential component of modern SEO & GEO, helping your site stand out in search results, voice search, and social media sharing. By using formats like JSON-LD, Microdata, RDFa, Twitter Cards, and Open Graph, you can increase your visibility and ensure your content is presented in the best possible way.

Ready to enhance your SEO with structured data? Contact us today for a free consultation, and let Point Source Marketing help you implement structured data for a competitive edge.

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