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Schema · 12 min read

RealEstateAgent schema, explained without the jargon.

The minimum schema set that AI engines need to identify a real estate agent as the cited answer.

Schema is the language AI engines use to confirm what a website is about. For real estate agents the most damaging mistake is not bad schema. It is no schema at all, or the wrong types pasted in by a generic plugin.

Why schema matters for AI visibility

AI engines reward clarity. They are deciding whether to cite you to a real human asking a real question. If your structured data clearly says you are a real estate agent in a specific market, with a known business, real services, and real reviews, you give the engine a reason to choose you.

The minimum schema set for an agent

  • Person for the agent themselves.
  • RealEstateAgent for professional context.
  • LocalBusiness for the brokerage or team entity.
  • Service for buyer representation, listing services, relocation, and similar.
  • FAQPage for question and answer blocks that AI can quote.
  • BreadcrumbList so AI understands site hierarchy.
  • Review or AggregateRating where appropriate and accurate.

Common schema mistakes on agent sites

  • Using Organization where LocalBusiness or RealEstateAgent is correct.
  • Mismatched name, address, and identity across types.
  • FAQ schema that does not match the visible page content.
  • No sameAs network linking the entity across the web.
  • Schema only on the home page, never on services, articles, or about.

Validate, then verify

Run schema through a validator. Then verify it actually parses in production. Then watch the index for a week. Schema is not a one time install.

If you want a baseline of how AI engines currently see your schema and entity coverage, request the Free AI Visibility Scan.

Ready to be the answer AI recommends?

Start with a free AI Visibility Scan. We will benchmark how ChatGPT, Perplexity, Claude, and Gemini currently see you, and where the gaps are.