🏗️ Technical

Schema Markup for GEO: A Complete Guide

📅 20 February 2026 10 min read ✍️ GeoLens Team

Why schema markup matters for GEO

Schema markup is structured data — code you add to your website that makes your content machine-readable in a standardised format. For traditional SEO, schema enables rich results in Google's SERPs. For GEO, schema is even more fundamental: it is the primary way you tell AI engines what your content means, not just what it says.

AI systems like ChatGPT, Gemini and Perplexity parse structured data when crawling and training on web content. Sites with comprehensive, correctly implemented schema are significantly more likely to be cited because the AI can confidently understand what type of content the page contains and what claims it makes.

GeoLens scoring: Structured Data accounts for 10% of the overall GEO score. Failing this criterion is one of the fastest, most controllable improvements available — it is purely technical, requiring no content changes.

Top schema types for GEO

Not all schema types are equal for GEO. The following have the highest impact on AI citation likelihood:

  1. FAQPage — Highest GEO impact. AI engines frequently cite FAQ content.
  2. Organization — Establishes entity recognition for your brand.
  3. Article / BlogPosting — Marks content as authored, expert and dated.
  4. Person — Establishes individual author credibility.
  5. Service — Describes what your business offers clearly.
  6. HowTo — Marks up instructional content for AI citation.
  7. Event — For speaking engagements, webinars and conferences.
  8. Product — For e-commerce pages with pricing and availability.

FAQPage schema: the most important for GEO

FAQPage schema has the single highest impact on GEO scores because AI engines love FAQ content — it is concise, authoritative and directly answerable. Add a FAQ section to every important page on your site and mark it up with FAQPage schema.

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Generative Engine Optimisation?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "GEO is the practice of optimising website content so that AI search engines like ChatGPT, Gemini and Perplexity cite your content in their generated answers."
      }
    }
  ]
}

Organization schema: establishing entity recognition

Organization schema establishes your brand as a recognised entity with a clear identity. This is critical for brand authority signals in AI systems — it is how AI engines learn that your website represents a real, legitimate organisation.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "url": "https://yoursite.com",
  "logo": "https://yoursite.com/logo.png",
  "email": "hello@yoursite.com",
  "description": "Clear description of what your organisation does.",
  "sameAs": [
    "https://linkedin.com/company/yourcompany",
    "https://twitter.com/yourcompany"
  ]
}

Article and BlogPosting schema

For blog posts and articles, Article or BlogPosting schema tells AI engines this is authored content with expertise behind it. Including author, datePublished and publisher is essential — these are E-E-A-T signals that AI systems use to assess content quality.

How to implement schema: JSON-LD is the standard

JSON-LD (JavaScript Object Notation for Linked Data) is the preferred format for schema markup. It is placed inside a <script type="application/ld+json"> tag in the <head> of your page.

Advantages of JSON-LD over Microdata and RDFa:

  • Easier to implement and maintain — does not require changes to HTML structure
  • Can be placed anywhere in the page source
  • Preferred by Google and most AI engines
  • Easier to validate and debug

You can add multiple schema types to a single page using the @graph array to bundle them into one script block.

Verifying your schema is working

After implementation, verify your schema with these tools:

  • Google Rich Results Test (search.google.com/test/rich-results) — tests whether your schema qualifies for rich results
  • Schema.org Validator (validator.schema.org) — checks for schema errors and warnings
  • GeoLens Free Audit (geolens.online/geo-audit/) — scores your structured data implementation as part of a full GEO audit across all 8 criteria
Key takeaways
  • FAQPage schema has the highest single GEO impact — add FAQ sections to every page
  • Organization schema establishes entity recognition for your brand
  • Use JSON-LD format — place in the <head> as a script tag
  • Use the @graph array to combine multiple schema types on one page
  • Verify with Google Rich Results Test and Schema.org Validator

Put this into practice

Run your free GEO audit to see exactly where your site stands on these criteria.