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Most brands still try to “tell” Google who they are. We show how Google actually decides: by stitching together a ledger of facts from your site, LinkedIn, Wikipedia, news articles, and structured data—then trusting only what aligns. This is the Knowledge Graph at work, and it’s quietly steering whether you earn a knowledge panel, sitelinks, and richer visibility across search.

We break down the four streams feeding the graph—public web pages, licensed datasets, human‑edited knowledge bases like Wikidata, and direct owner signals via schema.org—and explain how each contributes to a confidence score for your entity. If your about page says Jane Doe is CEO but LinkedIn shows John Smith, the score drops and your brand becomes ambiguous. If your website, LinkedIn, reputable press, and Wikidata all agree, trust rises and your facts become “truth” in search.

From there, we get specific about what you can control. Use schema.org to describe your organisation, people, products, and identifiers in clear, machine‑readable terms. Link out with sameAs to authoritative profiles so Google can triangulate identity. Audit your knowledge panel as a live diagnostic: check logos, dates, roles, and categories, and chase down any mismatch to the original source. Treat digital PR and reputation management as part of technical SEO—because today they are.

By the end, you’ll have a practical checklist for entity hygiene that helps you earn and keep a clean knowledge panel, avoid costly confusion, and unlock higher‑trust features across the results page. If this helped clarify how entities power modern SEO, subscribe, share with a colleague, and leave a quick review with one takeaway you’ll act on next.

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"Werq" Kevin MacLeod (incompetech.com)
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