🔧 Schema & JSON-LD

Advanced Schema.org Types for AI Discoverability

Go beyond LocalBusiness and Article. Four schema types that unlock new AI citation contexts.

6 min read
Guides / Advanced Schema.org Types for AI Discoverability

Most websites that implement Schema.org stop at the basics: a LocalBusiness block on the homepage and Article markup on blog posts. That's a solid foundation — but it leaves significant AI discoverability on the table.

AI agents don't just read your schema to identify what you are. They use it to determine what you offer, how your products work, what questions you can answer, and whether you're the right recommendation for a specific user query. The more schema types you deploy, the more contexts in which AI agents will cite you.

Four advanced types every site should consider

🏷
Product
@type: Product · Offer · AggregateRating

Why it matters: When a user asks an AI "what's the best [product] for [use case]?", the AI needs structured pricing, ratings, and availability data to make a recommendation. Product schema provides exactly this. Without it, your product exists as unstructured text that AI agents may or may not parse correctly.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Innotek Pro Plan",
  "description": "Advanced AI discoverability analysis with GEO audits, schema generation, and citation tracking.",
  "offers": {
    "@type": "Offer",
    "priceCurrency": "GBP",
    "price": "29",
    "availability": "https://schema.org/InStock"
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "reviewCount": "150"
  }
}
📋
HowTo
@type: HowTo · HowToStep · estimatedCost

Why it matters: AI agents love step-by-step content because it's inherently structured and directly actionable. HowTo schema turns your guides and tutorials into formatted, extractable instructions that AI can present as direct answers. Ideal for onboarding flows, setup guides, and troubleshooting.

{
  "@context": "https://schema.org",
  "@type": "HowTo",
  "name": "How to Improve Your AI Discoverability Score",
  "step": [
    { "@type": "HowToStep", "name": "Run a GEO Audit",
      "text": "Enter your URL on Innotek SEO AI to receive your AI Discoverability Score." },
    { "@type": "HowToStep", "name": "Implement Schema Fixes",
      "text": "Copy the generated JSON-LD and paste it into your site head." },
    { "@type": "HowToStep", "name": "Monitor AI Citations",
      "text": "Track citation rates across ChatGPT, Claude, and Perplexity." }
  ]
}
FAQPage
@type: FAQPage · Question · Answer

Why it matters: The majority of AI interactions are question-and-answer. FAQPage schema pre-formats your content into the exact structure AI agents need to extract and cite answers. When someone asks Claude "what is Agentic SEO?", your FAQ answer is the most citable format possible.

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Agentic SEO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Agentic SEO optimises content for AI agents like ChatGPT, Perplexity, and Claude, ensuring your site is cited in their responses."
      }
    }
  ]
}
💻
SoftwareApplication
@type: SoftwareApplication · AggregateOffer · featureList

Why it matters: When users ask AI to recommend tools, platforms, or software, the AI needs structured data about your application category, pricing tiers, features, and ratings. SoftwareApplication schema puts your tool directly into the recommendation pool for relevant queries.

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Innotek SEO AI",
  "applicationCategory": "https://schema.org/BusinessApplication",
  "operatingSystem": "Web, Claude Desktop (MCP)",
  "offers": {
    "@type": "AggregateOffer",
    "lowPrice": "0", "highPrice": "299",
    "priceCurrency": "GBP", "offerCount": "3"
  },
  "featureList": "GEO Audits, JSON-LD Generation, AI Citation Tracking, llms.txt Generator, MCP Integration"
}

Stacking schema types on a single page

You can — and should — deploy multiple schema types on a single page using separate <script type="application/ld+json"> blocks. Your homepage might include LocalBusiness + SoftwareApplication + FAQPage. Blog posts can combine Article + HowTo. Product pages should pair Product + FAQPage + AggregateRating.

The more structured context you provide, the more confidently AI agents will cite your content. Each additional schema type opens a new category of AI queries where your brand can appear as the recommended answer.

The diminishing returns threshold is high. Most websites are so far from schema saturation that every additional type you add will meaningfully improve your AI discoverability score.

See your current Schema Completeness score

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