Structured Data’s Future: Will Your Site Adapt?

The Future of Structured Data: Key Predictions

Remember when finding information online felt like searching for a needle in a haystack? Thanks to structured data, those days are fading fast. But where is this technology headed? Will it truly become the invisible backbone of the internet, or will it plateau?

Sarah, a marketing manager at “The Daily Grind,” a local coffee shop chain with three locations in the Buckhead neighborhood of Atlanta, faced a problem. Despite having a beautiful website, online orders were dismal. “People just weren’t finding us,” she lamented. “We were buried on page three of Google for ‘coffee near me’!”

Sarah’s problem wasn’t unique. Countless businesses, especially smaller ones, struggle to achieve online visibility. The solution, as I explained to her, often lies in implementing structured data. This involves adding specific code to your website to help search engines understand the content on your pages. Think of it as providing a detailed map of your website’s content for search engines.

But here’s the thing: simply adding structured data isn’t a magic bullet. It needs to be done correctly, comprehensively, and with an eye toward the future. That’s because the way search engines interpret and utilize structured data is constantly evolving.

Prediction 1: Widespread Adoption Driven by AI

Currently, adoption of structured data is growing, but it’s still not universal. Many businesses find it too technical or time-consuming to implement. A recent study by BrightEdge [ BrightEdge ] showed that while large enterprises often utilize structured data extensively, smaller businesses often lag behind.

That’s set to change in the coming years, thanks to advancements in AI. We’re already seeing AI-powered tools that can automatically generate and implement structured data markup on websites. These tools will become increasingly sophisticated, making it easier for businesses of all sizes to take advantage of structured data. I predict that by 2028, over 90% of websites will be using some form of structured data.

These advancements will also impact the types of structured data used. Schema.org [ Schema.org ] is the current standard, but expect to see custom schemas tailored for specific industries and niche applications. Think specialized schemas for healthcare, finance, or even the burgeoning space tourism industry.

Prediction 2: The Voice Search Imperative

Voice search is no longer a novelty; it’s a mainstream activity. People are using voice assistants like Alexa and Google Assistant to find information, make purchases, and control their smart homes. And here’s a crucial point: voice search relies heavily on structured data.

When you ask Alexa, “Where’s the nearest Italian restaurant?”, it doesn’t just scan the web for keywords. It looks for websites with properly implemented structured data that clearly identifies Italian restaurants, their locations, hours, and menus. If your website doesn’t have this information, you’re essentially invisible to voice search users.

This is why I believe that voice search optimization will become entirely dependent on accurate structured data. In fact, search engines may even penalize websites that lack it, prioritizing those that provide clear, concise information through structured data markup. Businesses that ignore this trend will find themselves at a significant disadvantage.

I remember a client last year, a small bakery in Midtown, who completely dismissed voice search. “Nobody orders cakes through Alexa,” they said. A month later, their competitor, who had invested in voice search optimization, saw a 30% increase in online orders. That bakery is now a client.

Prediction 3: The Rise of Knowledge Graphs

Search engines are moving beyond simple keyword matching and are increasingly focused on understanding the relationships between entities. This is where knowledge graphs come in. A knowledge graph is a network of interconnected entities and their relationships. For example, a knowledge graph might connect “The Daily Grind” to “coffee,” “Buckhead,” “Atlanta,” and “online ordering.”

Structured data plays a crucial role in building and maintaining these knowledge graphs. By explicitly defining entities and their relationships using schema markup, you’re essentially feeding information directly into the search engine’s knowledge graph. This allows search engines to better understand your website’s content and present it to users in a more relevant and informative way.

Here’s what nobody tells you: simply adding basic schema markup isn’t enough. You need to focus on creating a comprehensive and interconnected web of data. This means using specific property values, linking related entities, and providing as much context as possible. The more detailed and accurate your structured data, the better your chances of appearing in relevant search results and knowledge graph displays.

A Google patent application [ US20230237448A1 ] describes methods for automatically extracting and inferring relationships between entities from unstructured content, but explicit structured data provides a much stronger signal.

Prediction 4: New Data Types for Emerging Technologies

As new technologies emerge, so too will the need for new types of structured data. For example, augmented reality (AR) and the Metaverse are creating new opportunities for businesses to interact with customers in immersive and engaging ways. However, to effectively leverage these technologies, businesses will need to provide structured data that describes their virtual products, experiences, and locations.

Imagine a furniture store that allows customers to virtually place furniture in their homes using an AR app. To make this possible, the store needs to provide structured data that describes the dimensions, materials, and other properties of its furniture. Similarly, businesses operating in the Metaverse will need to provide structured data that describes their virtual stores, products, and events.

We’re already seeing the beginnings of this. Early adopters are experimenting with schema extensions to describe 3D models and virtual experiences. Expect to see more standardized schemas emerge in the coming years, specifically tailored for these emerging technologies.

What about blockchain and NFTs? It’s likely we’ll see structured data schemas developed to describe and categorize these digital assets, making them more discoverable and accessible.

Back to Sarah and “The Daily Grind.” After implementing a comprehensive structured data strategy, focusing on local business schema and menu items, the results were dramatic. Within three months, they jumped to the top of local search results for “coffee near me” and saw a 150% increase in online orders. Even better, their coffee shop now appears prominently in Google’s knowledge panel, providing potential customers with quick access to their address, phone number, hours, and menu.

The transformation wasn’t just about adding code; it was about understanding how search engines interpret data and providing them with the information they need. We focused on marking up everything: their address (750 Lindbergh Drive NE, Atlanta, GA), their hours of operation, their menu items, even customer reviews. We also used schema to define the relationships between “The Daily Grind” and its locations, products, and services. We even added schema for their special events, like live music on Friday nights.

This level of detail is what made the difference. By providing search engines with a clear and comprehensive understanding of “The Daily Grind,” we were able to significantly improve their online visibility and drive more traffic to their website.

The Fulton County Department of Revenue might not care about your website’s structured data, but Google certainly does. Ignoring it is like leaving money on the table. To truly future-proof your discoverability, you need to adapt.

The future of structured data is bright. As search engines become more sophisticated, and as new technologies emerge, the importance of structured data will only continue to grow. By embracing structured data and staying ahead of the curve, businesses can improve their online visibility, drive more traffic to their websites, and ultimately, achieve their business goals. Don’t wait for your competitors to figure this out first.

Looking to dominate search rankings in the coming years? Then it’s time to consider the insights in our Tech Pro’s Guide.

To help search engines understand your content, consider using semantic content.

Are structured data mistakes killing your site’s SEO? Make sure you are implementing your structured data correctly.

Stop thinking of structured data as a technical chore. Think of it as a clear, direct line of communication to the algorithms that decide who gets seen online. Is your message getting through?