Does structured data really improve visibility in AI overviews?

Does structured data really improve visibility in AI overviews?

Be the first to share this post!

⚡️ TL;DR

AI needs facts: Google AI Overviews are based on AI that loves clear, machine-readable data. Structured data (Schema Markup) provides exactly these facts.

Structures build trust: By marking up content like FAQs, how-to guides, or author information, you increase trust (E-E-A-T) and the likelihood of being used as a source for AI answers.

Not an option, but a must: The clean implementation of Schema Markup is no longer optional, but a strategic necessity for your future visibility in Google Search.

The way you and I find information online is currently experiencing its biggest revolution in a decade. It’s a well-known trend that a large portion of all Google searches end without a click on an external search result. The new, AI-generated answers right at the top of the search results – known as Google AI Overviews – significantly amplify this development and present you, as a website operator, with a crucial question: How do you stay visible?

The recently published article by Searchengineland was an exciting read for me because it confirms a suspicion I’ve had for a long time and that I consistently implement here at seo-kreativ.de. I have always been firmly convinced that structured data must gain importance in a data-driven future of search. Today, we are seeing how search is reinventing itself with AI Overviews and the new “Google AI Mode” – and my own positive experiences seem to support this thesis.

In this article, I will show you why structured data is more important now than ever before and how you can use it as a decisive advantage for your visibility in the new era of Google Search.

What are AI Overviews (Google SGE) anyway?

AI Overviews are summaries created by artificial intelligence (AI) that attempt to answer a search query directly on the results page. Instead of just clicking on a link, you receive a prepared answer that combines information from multiple sources.

This new feature fundamentally changes search engine optimization. If you want to dive deeper into the technical background, I recommend my detailed article on the functionality of Google AI Overviews. The strategic question for you is: How can you influence the AI? The answer lies in the language that machines understand best.

Screenshot - Google AI Overviews
Screenshot of a Google search for “how do I use regex for gsc?” with the highlighted
AI Overview explaining how to use Regex filters in Google Search Console.

What is structured data (Schema Markup)? A brief refresher

Structured data is a standardized code format that you add to your website to give search engines explicit clues about the meaning of your content. It is essential to adhere to Google’s general guidelines for structured data.

Think of it this way: Without structured data, Google sees an image of a product and tries to guess what it is from the context. With structured data, you give Google a detailed label that says: “This is a product. Its name is ‘XYZ’. It costs €19.99. It has a rating of 4.8 stars from 50 users.”

This code, often implemented in JSON-LD format, translates your human-written content into a machine-readable language. The vocabulary for this comes directly from schema.org, a joint initiative of the major search engines.

Screenshot of Google's structured data recognition for an article about the num=100 parameter end with correctly parsed Schema Markup.
Screenshot of Google’s structured data recognition for an article
about the “num=100 parameter shutdown” with correctly parsed Schema Markup.

The crucial question: How does structured data influence AI Overviews?

Although Google has not officially confirmed it, all signs point to structured data playing a crucial role for AI Overviews. The connection is not direct, but absolutely logical.

From Ambiguity to Clarity: Why AI Loves Facts

AI systems hate ambiguity. They are designed to create trustworthy and fact-based summaries. Structured data eliminates this ambiguity. It provides the AI with clear, unequivocal entities (like a person or a product) and their attributes (like a name or a price). By clearly structuring your content, you make it a perfect, trustworthy source for the AI.

Structured Data as a Strong E-E-A-T Signal

The concept of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the foundation for Google’s quality assessment. Structured data is a technical means to substantiate your E-E-A-T. For example, by clearly defining who the author of an article is using Person or Organization schema, you provide Google with verifiable facts about your expertise. You can find more on this in my ultimate E-E-A-T guide.

What the Industry Says: A Look at Searchengineland’s Analysis

The analysis by Searchengineland confirms this strong correlation. The experts there agree: Even though there is no guarantee of appearing in AIOs through Schema Markup, it significantly increases the probability. It makes your website a “better, more reliable, and easier-to-understand source” for the AI.

Practical Guide: Which schema types are particularly important now?

The theory is clear, but where do you start in practice? I recommend focusing on the schema types that offer the greatest contextual value to the AI:

  • FAQPage: Mark up frequently asked questions and their answers. This is a goldmine, as AI Overviews often answer direct questions.
  • HowTo: Ideal for tutorials. The AI can directly integrate your step-by-step instructions into its results.
  • Article / NewsArticle: A must for every blog post. Define the author and publication date to strengthen your authority.
  • Organization: Clearly define who is behind the website, including logo and contact details. This builds trust.
  • Person: If you present yourself as an expert, use this schema for your author or “About Me” pages.
  • Product: Absolutely essential for e-commerce. Prices, availability, and reviews are critical data points for the AI.
  • BreadcrumbList: Helps the AI understand the structure of your website. Note that, according to Google’s own statement, only the domain is often shown on mobile devices. However, the full markup remains essential for the AI’s understanding of the site hierarchy.
Important Update (September 2025): Google is streamlining search results and has discontinued support for some less frequently used schema types (like Course Info, Special Announcement, etc.). However, this does not change the importance of the core types mentioned above. On the contrary, the focus on clean, relevant, and correctly implemented basic schemas like Article, Person, and Organization becomes even more important!

A Look into Practice & My Strategy at seo-kreativ.de

Theory is good, but practice is crucial. As mentioned at the beginning, at seo-kreativ.de, I have always consistently focused on a clean implementation of Schema Markup for all my content. I do this out of the firm conviction that it is the most logical and effective way to communicate clearly with search engines.

A perfect example of this is my English blog post about the discontinued num=100 parameter. It is prominently featured in the AI Overviews for the search query “google num 100 disable”. When I analyzed the sources used for it, my strategy was confirmed.

Screenshot - Google AI Overviews
Screenshot of an AI Overview in Google Search, appearing prominently above the organic results
and explaining the removal of &num=100.

The analysis of the sources shows a clear pattern. Here is an excerpt of the pages I examined:

Website Schema Types Used
logicalposition.com Article, WebPage, ImageObject, BreadcrumbList, WebSite, Organization, Person
searchengineland.com NewsArticle, WebPage, ImageObject, BreadcrumbList, WebSite, Organization, Person
reflectdigital.co.uk LocalBusiness, Organization, WebSite
seo-kreativ.de Article, WebPage, ImageObject, BreadcrumbList, WebSite, Person, Organization
mindbees.com WebPage, ImageObject, BreadcrumbList, WebSite, Person

You see the common thread: A combination of Article, Organization, and Person is almost always present.

But – and this is an important point – in other analyses, I have also discovered pages in AI Overviews with no structured data at all. However, these usually have other strong authority factors, such as high domain authority or an excellent backlink profile.

Therefore, my conclusion from practice is: Don’t rely blindly on structured data alone. It is an extremely powerful lever to create context and trust and to massively increase your chances. But always consider it as part of a holistic SEO strategy that also includes building authority and creating outstanding content.

Conclusion: Structured data is your ticket to the new Google Search

The SEO world is in a state of flux. While others are still debating whether AI Overviews are an opportunity or a threat, you can already take action. With the new “AI Mode” from Google, the development is moving even further towards a conversational internet. Structured data is no longer an esoteric SEO tactic – it is the fundamental necessity for communicating with modern, AI-driven search engines.

It is your ticket not only to be present in the new Google Search but to be perceived as a trustworthy and authoritative source. By investing in clean Schema Markup, you are investing directly in the future visibility and authority of your website.

Christian Ott - Gründer von www.seo-kreativ.de

Christian Ott – Creative SEO Thinking & Knowledge Sharing

As the founder of SEO-Kreativ, I live out my passion for SEO, which I discovered in 2014. My journey from hobby blogger to SEO expert and product developer has shaped my approach: I share knowledge in a clear, practical way-without jargon.