Schema Markup for Businesses: Structured Data That Supports SEO and AI Discovery
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description: How U.S. businesses should implement schema markup — Organization, LocalBusiness, Service, FAQ, and Article types — to clarify entities for search engines and modern answer engines. Understand validation workflows, governance between marketing and engineering, and how structured data supports rich results without conflicting visible page content. Document ownership for FAQ and aggregate ratings markup, especially after acquisitions introduce conflicting legal entities or domain migrations. Tie validation screenshots to release tickets—not informal chat threads nobody audits later.
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Schema Markup for Businesses: Structured Data That Supports SEO and AI Discovery
type: BlogPosting
description: How U.S. businesses should implement schema markup — Organization, LocalBusiness, Service, FAQ, and Article types — to clarify entities for search engines and modern answer engines. Understand validation workflows, governance between marketing and engineering, and how structured data supports rich results without conflicting visible page content. Document ownership for FAQ and aggregate ratings markup, especially after acquisitions introduce conflicting legal entities or domain migrations. Tie validation screenshots to release tickets—not informal chat threads nobody audits later.
date published: 2026-05-03
date modified: 2026-05-03
author: organization
publisher: organization
main entity of page: Schema Markup for Businesses: Structured Data That Supports SEO and AI Discovery
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article section: SEO
keywords: schema markup, structured data SEO, JSON-LD schema, FAQ schema, Organization schema, LocalBusiness structured data, AI search entity clarity
word count: 580
language: en-US
time required: PT11M

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