Does Schema Markup Help AI Search Understand Your Website?

What is schema markup?

Schema markup is a block of structured data, usually in JSON-LD format, that labels the information on your page using the shared vocabulary at schema.org. Humans read “RB Sojib, SEO specialist in Dhaka.” Schema tells machines: this is a Person, the job title is “SEO Specialist”, the location is Dhaka, and these are his official profiles.

Does schema markup really help AI search? What the platforms say

Microsoft Bing and Copilot: yes

At SMX Munich in 2025, Microsoft’s Fabrice Canel said Bing uses schema markup to help its LLMs understand content, as reported by Search Engine Land. This is the clearest public confirmation from a major AI search provider. Bing data also matters beyond Copilot, since several AI tools draw on Microsoft’s web data.

Google AI Overviews and AI Mode: helpful, not required

Google’s AI features guide says you do not need any special schema.org structured data to appear in AI Overviews or AI Mode. It also lists “make sure structured data matches the visible content” as a best practice. Google’s general position, in its structured data introduction, is that structured data gives explicit clues about a page’s meaning.

ChatGPT and Perplexity: indirect benefit

OpenAI and Perplexity have not published schema guidance. Their answers depend on the search indexes they use and on how easily they can extract facts from your page. Clean structured data and a consistent entity across the web make those facts easier to verify.

Which schema types matter most for AI search?

Note: Google limited FAQ rich results in 2023 to well-known authoritative government and health sites, so FAQPage markup rarely creates a visual rich result for businesses. It can still describe your question and answer content clearly for machines.

Example: Organization and Person schema for a service business

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "ProfessionalService",
      "@id": "https://sojib.bd/#business",
      "name": "RB Sojib",
      "url": "https://sojib.bd/",
      "description": "SEO, WordPress and Shopify services in Dhaka, Bangladesh.",
      "address": { "@type": "PostalAddress", "addressLocality": "Dhaka", "addressCountry": "BD" },
      "founder": { "@id": "https://sojib.bd/#person" },
      "sameAs": [
        "https://linkedin.com/in/rbsojib",
        "https://facebook.com/FreelancerMdSojib",
        "https://youtube.com/@rbsojib"
      ]
    },
    {
      "@type": "Person",
      "@id": "https://sojib.bd/#person",
      "name": "RB Sojib",
      "jobTitle": "SEO Specialist",
      "worksFor": { "@id": "https://sojib.bd/#business" },
      "knowsAbout": ["SEO", "Generative Engine Optimization", "WordPress", "Shopify"]
    }
  ]
}
</script>

The @id values connect the business and the person into one graph. The sameAs links tell AI which external profiles belong to the same entity.

How to add schema in WordPress (Rank Math)

1. Go to Rank Math › Titles & Meta › Local SEO and fill in business type, name, logo, address and social profiles.
2. Under Titles & Meta › Posts, set the default schema to Article › BlogPosting.
3. Complete each author’s WordPress profile (bio, job, social links) so Person data is accurate.
4. On service pages, open the Rank Math Schema tab and add Service or Product.
5. Test with Google’s Rich Results Test and the Schema Markup Validator.

Schema mistakes that confuse AI

• Marking up content users cannot see, such as hidden FAQs or fake ratings.
• Duplicate, conflicting schema from two plugins (for example a theme and Rank Math both outputting Organization).
• Inconsistent names and addresses between schema, the footer and your Google Business Profile.
• Outdated dates: a 2023 dateModified on a page you updated last week.
• Expecting schema to fix thin content. It labels quality. It does not create it.

Schema is one part of a bigger plan. See the full Generative Engine Optimization guide and how it fits with ranking in Google AI Overviews.

FAQ