What is schema markup?

You know what’s driving me nuts lately? Every single article about optimizing for AI-powered search—ChatGPT, Google’s AI Overview, Perplexity, and the whole crew of AI search tools—keeps mentioning schema markup like it’s something we all know and use daily.

They just casually drop it into their advice: “Oh, and make sure you’re using schema markup!” As if we, the average website owners and marketers, totally know what that is and can just snap our fingers and make it appear on our sites.

I hit my breaking point this morning when I got two different newsletter articles in my inbox, both talking about AI search optimization, and both listing schema markup as a must-do—with zero explanation of what it actually is or how to implement it.

So I did what any frustrated blogger would do: I went down a research rabbit hole to figure out exactly what schema markup is, whether I actually need it, and if it’s really going to help with AI search or if everyone’s just parroting the same advice without any real evidence.

Here’s what I discovered.

What Is Schema Markup, Really?

Okay, so schema markup is basically a special type of code you can add to your website’s backend that helps search engines understand what your content is actually about.

Think of it this way: Without schema markup, Google’s looking at your webpage like someone trying to read a book in dim lighting with no context. It sees words and tries its best to figure out what they mean and how they relate to each other. With schema markup, you’re essentially handing Google a highlighted study guide that says:

  • “Hey, this page is a recipe for chocolate chip cookies”
  • “This section right here? That’s a product review with a 4.5-star rating”
  • “This is information about a local business, and here are the hours and address”
  • “This is an upcoming event happening on a specific date”

The code itself is written in something called structured data, and here’s the best part: it doesn’t change anything about how your site looks to actual human visitors. It’s completely behind-the-scenes information that only search engines and other machines can read.

Why Would You Want to Use Schema Markup?

The main reason people use schema markup is because it can make your website show up in search results with those fancy extra details that catch people’s attention. You’ve definitely seen these before—they’re called rich results or rich snippets.

These are things like:

  • Star ratings and review counts on product pages
  • Product prices right in the search results
  • Event dates and locations without having to click through
  • Recipe cook times, calorie counts, and ingredients
  • Job posting salaries and locations
  • FAQ sections that expand right in the search results

These rich results make your listing stand out in a sea of blue links, and they can significantly improve your click-through rate because people can see useful information before they even visit your site.

How Do I Add Schema Markup to My Website?

It’s easy to add schema markup in WordPress. There are a variety of plugins that include it. If you aren’t on WordPress, you’ll need to explore code generators to add the code to your site.

For WordPress users, if you’re already using popular SEO plugins like Yoast SEO or RankMath, congratulations! You already have schema markup enabled on your site and you probably didn’t even realize it. These plugins automatically add basic schema markup to your pages and posts without you having to do anything extra.

You literally don’t need to touch a line of code. Just keep writing quality content, optimizing for your keywords, and the plugins handle the schema markup in the background.

If you’re not using one of those plugins, there are other options like Schema Pro or specialized schema plugins that can help you add it without needing to become a coding expert.

But Does Schema Markup Actually Help with AI Search?

Alright, here’s where things get interesting—and where I think a lot of people are making assumptions without solid evidence.

Is schema markup useful for traditional search engine optimization? Absolutely, yes. There’s plenty of data showing that rich results can improve click-through rates and help search engines better categorize your content.

But does it help with AI-powered search tools like ChatGPT, Google’s AI Overview, Claude, or Perplexity?

Honestly? The jury is still very much out on that one.

Despite the fact that seemingly every article about AI search optimization includes the directive to “ensure schema markup is active,” I couldn’t find substantial research demonstrating that it actually makes a meaningful difference for how AI language models discover, process, or reference your content.

Think about it: AI models are trained on massive amounts of web content, and they’re reading and understanding the actual text on your pages—not necessarily parsing structured data the same way traditional search engine crawlers do. They’re looking at context, relevance, and how well your content answers questions.

That said, it certainly can’t hurt. If schema markup helps traditional search engines understand your content better, and those search engines are increasingly integrating AI into their results, there’s a logical argument that structured data could indirectly benefit your AI search visibility. But is it the make-or-break factor everyone’s claiming? I’m skeptical.

Should You Bother Adding Schema Markup If You Don’t Have It?

Here’s my honest take: If I discovered my website didn’t have any schema markup at all, I would absolutely add it. But not necessarily because of AI search.

I’d add it because it helps with overall search engine optimization and discoverability, and in today’s competitive landscape, every little advantage matters.

SEO has always been competitive, but with the explosion of AI-powered search results, ChatGPT answers, and Google’s AI Overview taking up more screen real estate, it’s become even more of a battle to get visibility. Fewer people are clicking through to websites when they can get answers directly from AI tools or featured snippets.

So my philosophy is: test everything reasonable that might help your site rank better and attract more traffic. SEO isn’t about following a perfect formula—it’s about exploring, experimenting, and refining your approach based on actual data about what works for your specific site and audience.

Adding schema markup won’t hurt your site, and it definitely could help with traditional search results. If you want to test whether it moves the needle for your specific situation, go for it. I’d suggest adding it via a plugin (keep it simple), then tracking your search engine positions and traffic over 3 months, 6 months, and 12 months to see if you notice any improvements.

Implement Schema Markup. It Can’t Hurt!

Schema markup is one of those SEO tactics that’s probably worth implementing, especially since it’s so easy to add if you’re using WordPress. But let’s not pretend it’s some magical solution for AI search when we don’t actually have evidence that it’s a major ranking factor for AI language models.

My advice? Add it for the proven SEO benefits, keep creating high-quality content that genuinely answers people’s questions (because that’s what AI models are looking for), and don’t lose sleep over whether your schema markup is perfect.

And the next time you see an article that casually mentions schema markup like everyone should obviously know what it is? At least now you actually do.