Schema Markup for AI Search — The Complete Implementation Guide

71% of pages cited by ChatGPT use schema markup. FAQPage schema delivers a 350% increase in AI citations. Organisation schema with @id and sameAs builds entity authority. Speakable schema has under 10% adoption but delivers a 127% citation increase. The @graph pattern connects all entities into a compound signal that AI platforms can verify.

Schema types ranked by AI search impact

Schema type	AI citation impact	Adoption rate	Priority
FAQPage	+350% citation increase	~25%	Critical
Organisation	Entity authority compound signal	~40%	Critical
Article + Author/Person	3x citation lift	~35%	High
Speakable	+127% citation increase	<10%	High (competitive edge)
HowTo	+20% higher citation rate	~15%	Medium
BreadcrumbList	Site structure signal	~50%	Medium
Product	Ecommerce citation driver	~30%	High (ecommerce)
AggregateRating	Trust signal for recommendations	~20%	High (review-dependent)

1. FAQPage schema — 350% citation increase

FAQPage schema delivers the highest measurable impact on AI citations, with a 350% increase in citation likelihood. It works because AI platforms can directly extract question-answer pairs from structured data, matching them to user queries without having to parse page content.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is AI search optimisation?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "AI search optimisation (also called GEO) is the process of making your business visible in AI-generated answers from platforms like ChatGPT, Gemini, Perplexity, and AI Overviews."
      }
    },
    {
      "@type": "Question",
      "name": "How much does AI search optimisation cost?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "AI search optimisation typically costs between £500-£5,000 per month from specialist agencies, depending on scope and competition level."
      }
    }
  ]
}
</script>

FAQPage best practices for AI

• Match questions to actual search queries (use "People Also Ask" data)
• Keep answers concise — 40-80 words is ideal for AI extraction
• Include specific data in answers (percentages, numbers, dates)
• Limit to 5-10 questions per page to maintain topical focus

2. Organisation schema — entity authority

Organisation schema with @id, @graph, and sameAs links builds the entity authority that AI platforms use to verify your brand exists and is trustworthy. Gemini actively cross-references Organisation schema with Google Business Profile, Wikidata, and LinkedIn to verify entity claims.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "@id": "https://example.com/#organization",
  "name": "Your Company Name",
  "url": "https://example.com",
  "logo": "https://example.com/logo.png",
  "description": "Your consistent brand description used everywhere.",
  "foundingDate": "2020",
  "areaServed": {
    "@type": "Country",
    "name": "United Kingdom"
  },
  "sameAs": [
    "https://www.linkedin.com/company/your-company",
    "https://www.wikidata.org/wiki/Q123456",
    "https://twitter.com/yourcompany",
    "https://www.youtube.com/@yourcompany",
    "https://g.co/kgs/yourGBPid"
  ],
  "contactPoint": {
    "@type": "ContactPoint",
    "contactType": "customer service",
    "email": "[email protected]"
  }
}
</script>

Organisation schema best practices

• Use @id to create a persistent identifier other schema can reference
• Include sameAs links to every authoritative profile (LinkedIn, Wikidata, YouTube, GBP)
• Use areaServed — especially important for local and regional businesses
• Match the description exactly to what appears on your GBP, LinkedIn, and other profiles
• Include foundingDate — adds entity permanence signal

3. Article + Author/Person — 3x citation lift

Pages with Article schema that includes a linked Person schema for the author see a 3x increase in AI citation likelihood. This works because AI platforms use author authority as a quality signal — connecting content to a known, credentialed person increases trust in the factual claims.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "description": "A clear description of the article content.",
  "datePublished": "2026-04-01",
  "dateModified": "2026-04-06",
  "author": {
    "@type": "Person",
    "@id": "https://example.com/#author-jane",
    "name": "Jane Smith",
    "jobTitle": "AI Search Analyst",
    "url": "https://example.com/about/jane-smith/",
    "sameAs": [
      "https://www.linkedin.com/in/janesmith",
      "https://twitter.com/janesmith"
    ]
  },
  "publisher": {
    "@id": "https://example.com/#organization"
  },
  "mainEntityOfPage": "https://example.com/article-url/"
}
</script>

Author/Person best practices

• Create an author bio page on your site and link to it via url
• Connect the Person to LinkedIn and other professional profiles via sameAs
• Include jobTitle to establish expertise relevance
• Use @id so other pages can reference the same author entity
• Always include dateModified — AI platforms use this for freshness

4. Speakable schema — 127% increase, under 10% adoption

Speakable schema marks content suitable for text-to-speech and AI voice assistants. Despite delivering a 127% citation increase, fewer than 10% of websites implement it. This is the single biggest competitive opportunity in AI schema — a high-impact markup that almost nobody uses.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [".answer-capsule", "h1", ".key-stat"]
  },
  "publisher": {
    "@id": "https://example.com/#organization"
  }
}
</script>

Speakable implementation tips

• Use cssSelector to target your answer capsule paragraphs
• Include the page title (h1) as speakable
• Mark any key statistics or data summary sections
• Keep speakable content concise — 2-3 sentences per section
• Test with Google's Rich Results Test tool

5. HowTo schema — 20% higher citation rate

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Submit Your Site to Bing Webmaster Tools",
  "description": "Step-by-step guide to getting indexed in Bing for ChatGPT visibility.",
  "step": [
    {
      "@type": "HowToStep",
      "name": "Create a Bing Webmaster Tools account",
      "text": "Go to bing.com/webmasters and sign up with your Microsoft account."
    },
    {
      "@type": "HowToStep",
      "name": "Add your website",
      "text": "Enter your domain and verify ownership via DNS, meta tag, or CNAME."
    },
    {
      "@type": "HowToStep",
      "name": "Submit your sitemap",
      "text": "Navigate to Sitemaps and submit your XML sitemap URL."
    }
  ]
}
</script>

6. BreadcrumbList — site structure signal

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "BreadcrumbList",
  "itemListElement": [
    { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://example.com/" },
    { "@type": "ListItem", "position": 2, "name": "Guides", "item": "https://example.com/guides/" },
    { "@type": "ListItem", "position": 3, "name": "Schema Markup", "item": "https://example.com/schema-markup-ai-search/" }
  ]
}
</script>

BreadcrumbList helps AI crawlers understand your site hierarchy and topical relationships between pages.

7. Product + AggregateRating — ecommerce AI visibility

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "description": "Clear product description with key features.",
  "brand": {
    "@type": "Brand",
    "name": "Your Brand"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "reviewCount": "342"
  },
  "offers": {
    "@type": "Offer",
    "price": "99.00",
    "priceCurrency": "GBP",
    "availability": "https://schema.org/InStock"
  }
}
</script>

ChatGPT mentions brands in 99.3% of ecommerce responses, averaging 5.84 brands per response. Product schema with genuine AggregateRating data feeds these recommendations.

The @graph pattern — compound entity signals

The @graph pattern connects multiple schema entities into a single, interlinked data structure. Instead of separate disconnected blocks, @graph tells AI platforms that your Organisation, Person, Article, and FAQPage entities are all part of the same verified entity network. This compound signal is stronger than individual schema blocks.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#organization",
      "name": "Your Company",
      "url": "https://example.com",
      "sameAs": ["https://linkedin.com/company/yourco"]
    },
    {
      "@type": "Person",
      "@id": "https://example.com/#author",
      "name": "Author Name",
      "jobTitle": "Expert Title",
      "worksFor": { "@id": "https://example.com/#organization" }
    },
    {
      "@type": "Article",
      "headline": "Article Title",
      "author": { "@id": "https://example.com/#author" },
      "publisher": { "@id": "https://example.com/#organization" },
      "speakable": {
        "@type": "SpeakableSpecification",
        "cssSelector": [".answer-capsule"]
      }
    }
  ]
}
</script>

How @graph strengthens AI signals

• Connects author to organisation — establishes institutional authority
• Links article to verified publisher — content trust signal
• Uses @id references — avoids redundant data, creates clean entity web
• Gemini specifically cross-references @graph entities with Google Knowledge Graph

Implementation checklist

Step	Schema type	Page type
1. Add Organisation schema	Organization	Every page (via site-wide template)
2. Add Person schema for authors	Person	Author bio pages + articles
3. Add Article schema	Article	Blog posts, guides, insights
4. Add FAQPage schema	FAQPage	FAQ sections, Q&A pages
5. Add Speakable	SpeakableSpecification	All content pages
6. Add BreadcrumbList	BreadcrumbList	Every page
7. Add HowTo schema	HowTo	Step-by-step guides
8. Add Product + Rating	Product, AggregateRating	Product pages
9. Connect with @graph	@graph	All pages
10. Validate	—	Google Rich Results Test

What to do next

• Get a free audit to check your schema implementation
• How to structure your website for AI crawlers
• How Gemini uses schema to verify claims
• Compare how each platform uses schema differently
• AEO vs GEO vs LLMO — which approach is right?
• AI search glossary — every term defined