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AI platform features change quickly. This article describes what was verified on the date of the last update. Check the provider's current documentation before making an implementation decision.
Schema.org is a vocabulary of semantic markup that tells search algorithms and AI systems exactly what a piece of content on a page is. Instead of guessing whether a name is the author of an article or a client of the company, AI sees it directly: Author, Person, name, jobTitle. That translates straight into the accuracy of citations in AI answers.
Before implementing markup, it is worth establishing a baseline. We will assess your category fit free of charge, and the benchmark comes from a Snapshot or an audit.
Why schema.org matters for AI Visibility
Google AI Overviews and other AI systems use structured data as one credibility signal. Research found that pages with correctly implemented schema.org have a 34% higher citation rate in AI Overviews than pages without structured data. The reason is simple: structured data reduces ambiguity. AI does not have to interpret - it receives facts in a standardised format.
Which schema types to implement first
| Schema type | Where to use it | Priority |
|---|---|---|
| Organization | Home page and footer | Critical |
| LocalBusiness | Home page (businesses with a location) | High |
| Person | Author pages, about page | High |
| Article / BlogPosting | Every blog article | High |
| FAQPage | FAQ sections on service pages | Medium |
| Service | Individual service pages | Medium |
| BreadcrumbList | All pages | Low |
Step 1: Organization schema on the home page
This is the foundation - telling AI who your company is. Implement it as JSON-LD in the head section or in a page component. The key fields: name (the official company name), url (the domain), description (one or two sentences on what you do), sameAs (links to LinkedIn, other social profiles and Wikipedia if you have one), plus foundingDate and numberOfEmployees if you want to build authority.
The sameAs field is particularly important for AI Visibility. It connects your entity on the site with your presence elsewhere on the web. The more credible sources confirm that the same organisation exists in multiple places, the stronger the authority signal for AI systems.
Step 2: Person schema for authors and experts
ChatGPT most readily cites content attributed to identifiable experts, not anonymous companies. Person schema lets you build an entity for each author: name, role, company, links to external profiles. Combined with Article schema on every article, this creates a clear E-E-A-T signal - experience, expertise, authoritativeness and trustworthiness - that AI systems treat as an indicator of credibility.
Step 3: Article or BlogPosting on every article
- headline - the article title
- description - the article's meta description
- author - a linked Person object
- publisher - a linked Organization object
- datePublished and dateModified - dates in ISO 8601 format
- mainEntityOfPage - the article's canonical URL
- image - the URL of the main image, if you have one
Step 4: FAQPage on service pages
Question-and-answer sections help users find specific information quickly, but FAQPage schema alone does not guarantee citation or presence in an AI Overview. Google limits FAQ rich results largely to authoritative government and health sites. Every answer should be complete, visible on the page and genuinely relevant to the question.
How to check whether your schema works
- 1Google Rich Results Test (search.google.com/test/rich-results) - checks syntactic correctness
- 2Schema Markup Validator (validator.schema.org) - verifies conformance with the specification
- 3Google Search Console - the Enhancements section shows how many pages have detected structured data and whether there are errors
- 4A manual check in ChatGPT - enter the company name and see whether AI identifies your category and specialisation correctly
The most common mistake: implementing schema.org with incorrect data - a wrong URL in sameAs, a missing dateModified - is worse than having no schema at all. Faulty structured data can mislead AI about the company's identity. Always validate after implementing.
Tools for generating schema without coding
- Merkle Schema Markup Generator - a JSON-LD generator for the most common types
- RankRanger Schema Generator - a simple builder for Organization and LocalBusiness
- Yoast SEO / Rank Math - for WordPress sites, automating Article and Author schema
- ChatGPT - describe your company and ask it to generate JSON-LD Organization schema
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Frequently asked questions
Which schema type matters most for AI?
Organization, for company identity, and FAQPage, for direct citations in models and AI Overviews.
Can incorrect structured data do harm?
Yes. It can mislead AI about a company's identity or facts, which lowers brand credibility.