JSON-LD Generator

🧠 Schema for AI Agents: How to "Feed" SGE & Perplexity

📅 Updated: Jan 22, 2026 ⏱️ Reading time: 14 minutes 👨‍💻 Level: Strategic/Expert

In 2026, SEO has transformed into AEO (Answer Engine Optimization). Google SGE, Perplexity, and OpenAI Search no longer just find pages—they build "knowledge graphs." If your site isn't part of this graph, you don't exist for AI.

📑 What's Inside

1. Entities vs Keywords

Neural networks think in objects (Entities), not words. When you write about "Apple," AI must instantly understand: is this a fruit or a tech giant? JSON-LD is the only way to directly tell AI which entity in Wikipedia or Wikidata your content relates to.

🕸️ Knowledge Graph Visualization

[Your Article]
    │
    ├── IS_ABOUT → [Search Engine Optimization]
    │       └── sameAs: wikidata.org/wiki/Q180711
    │
    ├── MENTIONS → [OpenAI]
    │       └── sameAs: wikidata.org/wiki/Q21708200
    │
    └── IS_BASED_ON → [Original Research]
            └── url: research.example.com/study-2026

This is how AI sees your content when properly marked up.

2. SEO vs AEO: The Fundamental Shift

Traditional SEO techniques are becoming obsolete. Here's the new reality:

Function Traditional SEO AEO (AI Optimization)
Goal Ranking for keywords Being included in AI answers (Snapshots)
Primary Tool Title/H1 tags, keyword density Entities, JSON-LD with sameAs
Logic Link to page Answer user's question directly in search
Measurement Organic traffic, rankings Citations in AI responses, answer accuracy
Content Structure For humans (readability) For AI parsing (entity relationships)

3. Properties 'about' and 'mentions'

This is the "secret weapon" of 2026. Most websites ignore these, but they shouldn't.

PRO STRATEGY

Use Identifiers (IDs)

Don't just write "name": "SEO". Use the sameAs field with a link to the entity's Wikidata page. This eliminates ambiguity for AI.

⚠️ Critical: The isBasedOn Property

In 2026, with AI-generated content flooding the web, isBasedOn is your authenticity signal. It tells AI agents that your content is based on original research, primary sources, or authoritative references—not just rephrasing other AI content. This dramatically boosts your E-E-A-T score with neural networks.

4. mainEntityOfPage: Removing Noise

An average webpage has lots of "noise": footer, sidebar, related articles. The mainEntityOfPage property clearly tells the neural network: "Ignore everything else, here's the main essence to use for answering the user."

🤖 Why AI Chooses Your Content Over Others

When SGE or Perplexity crafts an answer, it evaluates:

  • Citability: AI looks for verifiable facts. Proper schema with sameAs references makes your content more citable.
  • Structure: mainEntityOfPage helps AI agents quickly "parse" the answer without wasting tokens on irrelevant content.
  • Entity Density: Pages with clear entity relationships get prioritized for complex queries.
  • Originality Signal: isBasedOn properties indicate original research, not derivative content.
  • Context Completeness: Proper use of about and mentions provides full topic context.

5. Complete "AI-Ready" JSON-LD Example

Here's how your markup should look for Perplexity to cite it in the first paragraph of its answer:


{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "The Future of SEO in 2026: AEO Dominance",
  "description": "How Answer Engine Optimization is replacing traditional SEO strategies for AI-first search.",
  "about": [
    {
      "@type": "Thing",
      "name": "Search Engine Optimization",
      "sameAs": "https://www.wikidata.org/wiki/Q180711",
      "description": "Process of improving website visibility in search engines"
    },
    {
      "@type": "Thing", 
      "name": "Artificial Intelligence",
      "sameAs": "https://www.wikidata.org/wiki/Q11660"
    }
  ],
  "mentions": [
    {
      "@type": "Organization",
      "name": "OpenAI",
      "sameAs": "https://www.wikidata.org/wiki/Q21708200",
      "description": "AI research laboratory"
    },
    {
      "@type": "Product",
      "name": "Google SGE",
      "description": "Google's Search Generative Experience"
    },
    {
      "@type": "SoftwareApplication",
      "name": "Perplexity AI",
      "description": "AI-powered answer engine"
    }
  ],
  "isBasedOn": [
    {
      "@type": "CreativeWork",
      "name": "2026 Search Industry Report",
      "url": "https://research.example.com/search-trends-2026"
    },
    {
      "@type": "Dataset",
      "name": "AI Search Adoption Metrics",
      "url": "https://data.example.com/ai-search-stats"
    }
  ],
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/blog/future-seo-2026",
    "breadcrumb": {
      "@type": "BreadcrumbList",
      "itemListElement": [
        {
          "@type": "ListItem",
          "position": 1,
          "name": "Home",
          "item": "https://example.com"
        },
        {
          "@type": "ListItem", 
          "position": 2,
          "name": "Blog",
          "item": "https://example.com/blog"
        }
      ]
    }
  },
  "author": {
    "@type": "Person",
    "name": "Alex Johnson",
    "url": "https://example.com/author/alex",
    "knowsAbout": ["SEO", "AI", "Search Algorithms"]
  }
}

🎯 How to Test AI Visibility

Copy your generated JSON-LD and paste it into ChatGPT or Claude with the question: "What entities and relationships do you see in this code?" If the AI names the topics you want to rank for—you've won. To create perfect code, use our professional generator.

🚀 Ready to Become AI's #1 Source?

Neural networks won't guess what your site is about. Give them clear data. Our tool helps implement 'about', 'mentions', and 'isBasedOn' in a few clicks.

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Need implementation help? Read our technical guide for frameworks.