Organization schema with sameAs and @id linking is the highest-value structured data you can add, because it resolves who you are across the web. Google confirms that home-page Organization structured data helps it “understand your organization’s administrative details and disambiguate your organization in search results” (Google Search Central, 2026). The sameAs property connects your official profiles LinkedIn, Wikipedia, Wikidata, X telling machines they all refer to the same entity, which is how a unified knowledge-graph identity gets built.

Here’s a clean, correct starting point. It nests a Person author inside an Article, references a single Organization by @id, and uses sameAs for entity disambiguation:

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://example.com/#organization",
      "name": "Your Brand",
      "url": "https://example.com",
      "logo": "https://example.com/logo.png",
      "sameAs": [
        "https://www.linkedin.com/company/your-brand",
        "https://www.wikidata.org/wiki/Q000000",
        "https://x.com/yourbrand"
      ]
    },
    {
      "@type": "Person",
      "@id": "https://example.com/#person",
      "name": "Your Name",
      "url": "https://example.com/about",
      "sameAs": ["https://www.linkedin.com/in/your-name"],
      "worksFor": { "@id": "https://example.com/#organization" }
    },
    {
      "@type": "Article",
      "headline": "Your Article Title",
      "datePublished": "2026-08-04",
      "author": { "@id": "https://example.com/#person" },
      "publisher": { "@id": "https://example.com/#organization" }
    }
  ]
}

To be fully honest: Google documents the disambiguation benefit of this markup; it does not officially claim sameAs boosts AI citations. Treat entity schema as “helping machines resolve who you are” a reasonable, foundational bet not a guaranteed path into AI answers.