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Do Small and Midsize Businesses Need to Implement Structured Data (Schema)?

A visual representation of how schema markup works as a translator of page content for Google.

Do Small and Midsize Businesses Need to Implement Structured Data (Schema)?

July 7, 2025 Posted by Tim Ito Uncategorized

You may have heard about “structured data” or what’s known as a schema and its importance for search engine optimization. The first question we often hear from clients is:

“Do I really need to do this?”

Well, ideally yes. But much of this gets into how much it can affect your search ranking, what content types it impacts, who else does it, and how people search in your industry. If you don’t currently employ structured data (schema) today, many agencies will certainly recommend employing it as part of an SEO strategy.

And while a schema isn’t magic, it’s becoming the price of admission in a crowded digital world. If your competitors are using it and you’re not, you’re handing them an edge—whether it’s richer search listings, better AI visibility, or a higher click-through rate.

Here’s what you need to know.

 

What Is Schema and Why Is It Important?

Schema markup (or structured data) is code that tells search engines exactly what your content means. Think of it as a translator: Without it, Google sees your page as plain text. With it, Google understands context—like whether that “5 stars” is a product review or your business hours are 9-5.

Why does this matter?

    • Rich results: Schema can make your search engine results page (SERP) listings stand out with star ratings, pricing, FAQs, or images directly in Google or another AI/search platform.
    • AI and voice search: Tools like ChatGPT and Google’s generative search rely on structured data to pull accurate answers.
    • Visibility, not rankings: Schema isn’t a direct ranking factor, but it indirectly boosts SEO by improving click-through rates and helping search engines “get” your content. And while it isn’t a direct force, we’ve certainly seen, all things being equal, sites that implemented a schema tend to rank higher (especially in areas such as image search).

 

What Are the Different Types of Schemas You Can Employ?

Companies will create different types of schema markup depending on the content they want to highlight and the audience they aim to reach. Some of the most popular schema types include:

 

    • VideoObject: Used to provide search engines with details about video content, such as title, description, thumbnail, and duration.
    • Book: Helps showcase information about books, including author, publication date, ISBN, and reviews.
    • Recipe: Allows food-related websites to display ingredients, cooking instructions, prep time, and nutritional information directly in search results.
    • Event: Highlights details about upcoming events, such as date, location, and ticket availability.
    • Product: Used by e-commerce sites to share product names, prices, availability, and reviews.
    • Article: Enables publishers to mark up news articles, blog posts, and other written content for enhanced visibility.
    • LocalBusiness: Provides essential information about a business, including address, hours, and contact details.
    • FAQ: Structures frequently asked questions and answers, making them eligible for rich results in search.
    • SoftwareApplication: Describes software products, including web, mobile, desktop, and command-line applications, as well as software libraries and packages. This schema type allows companies to provide metadata such as operating system compatibility, application category, and download links, helping users and search engines better understand and discover software offerings
    • Person: Used to mark up information about individuals, such as their name, job title, affiliation, contact details, and social media profiles. This schema type is especially useful for author pages, team bios, and professional profiles, helping search engines connect people to their work and online presence.

 

Note on Images in Schema Markup: Images are not typically defined by a standalone “Image” schema type. Instead, images are included as properties within other schema types such as Article, Product, Recipe, Person, or VideoObject. For example, when marking up a recipe, you might use the “image” property to specify a photo of the dish. Similarly, a Product schema would include an image of the product, and a VideoObject would reference a video thumbnail.

 

What Does It Look Like Implemented? (Here’s a simple example: Recipe Schema)

Here’s how a recipe schema (schema.org) looks in a standard JSON-LD format.

A screenshot of a recipe schema example from schema.org. It's in a standard JSON-LD format.

Industries Where Schema Is Non-Negotiable

Not all businesses need schema equally. If you’re in these industries or create these content types, structured data is critical for competitiveness.

    • Publishing: News sites, recipe blogs, and movie review hubs. (Example: A recipe with cook time and ingredients gets a rich snippet.)
    • E-commerce: Product pages benefit from price, availability, and review markup.
    • Local services: Restaurants, dentists, or boutiques using LocalBusiness schema show hours, maps, and appointments in search.
    • Content-heavy niches:
      • Events (Event schema displays dates/tickets).
      • Courses or webinars (Course schema).
      • Job boards (JobPosting schema).
    • B2B/software: Companies with FAQs, datasets, or technical documentation.

 

In short: If your content answers specific questions (e.g., “How long to bake this?” or “Is this product in stock?”), a schema makes that answer visible before users even click.

 

 

How to Implement Schema Without a Developer

You don’t need a tech wizard. Here’s how small teams do it:

    • Option 1: WordPress + Rank Math:

Install the plugin in WordPress, then:

      1. Make sure Schema is enabled on the Dashboard in WordPress.
      2. Open the Schema tab in your page editor.
      3. Select a template (e.g., “Article,” “Product,” or “FAQ”).
      4. Fill in fields like a form—no coding. Rank Math auto-generates JSON-LD so you don’t have to code anything.

 

    • Option 2: Free Schema Generators

You can also certainly use tools like:

      • Google’s Structured Data Markup Helper (paste your URL, tag elements visually).
      • Merkle’s Schema Generator (fill fields, copy-paste code into your site pages)

 

    • Option 3: Stick to low-effort, high-impact types:
      • LocalBusiness: Add your address, phone, and hours.
      • FAQPage: Wrap common questions in a toggle-rich result.
      • Product: Basic fields like name, price, and image.

 

Conclusion: Should You Bother?

Yes—but strategically. Schema isn’t about overnight ranking jumps; it’s about staying visible as search evolves. If you’re a local bakery, LocalBusiness schema might net you more foot traffic. If you sell online, Product markup can lift conversions. The effort is minimal (especially with tools), and the cost of skipping it grows as competitors adopt it.

The bottom line: Schema is like showing up to a networking event with a clear name tag. You might survive without it, but why make it harder for customers to find you? Start simple, focus on your industry’s high-impact types, and let the plugins do the heavy lifting.

In the spirit of Marketing Nice Guys: This isn’t about chasing algorithms—it’s about clarity. When your message cuts through the noise, you build trust. And trust, in the end, is what turns clicks into conversations. Need help? Don’t hesitate to contact us for a free consultation.

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About Tim Ito

Tim is the co-founder of Marketing Nice Guys. Having more than 25 years of experience developing content, optimizing websites, and running marketing for various organizations, he has particular insight into the challenges faced by companies and their marketing departments. He currently also co-manages the jobs and community site, Find My Marketer. Previous to Marketing Nice guys, he served as a vice president at the Association for Talent Development (ATD), overseeing the content and digital marketing division. His career has also included stints at ASCD, America Online, Netscape, and AltaVista in content, marketing and product strategy lead roles. Tim started his career as a journalist, as a former senior editor and producer at washingtonpost.com and as a reporter and writer for U.S. News & World Report magazine. He is the co-author of The B.S. Dictionary: Uncovering the Origins and True Meanings of Business Speak (April 2020), with Bob Wiltfong. Since 2015, he has also served as an adjunct professor of a popular digital marketing course at Georgetown University.

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