Schema Markup

Schema Markup is structured data — typically in JSON-LD format — that webpages include to explicitly tell search engines and AI models what each part of the page means, enabling rich results and easier extraction.

What is Schema Markup?

Schema Markup uses a shared vocabulary (Schema.org) to label page content with type information: 'this is an Article', 'this is a Person', 'this is a FAQ', 'this is a Product'. Search engines and AI models read the schema and use it to generate rich results (Featured Snippets, AI Overviews, Knowledge Panels) and to extract specific information cleanly. Schema is the single highest-leverage AEO investment for most B2B sites — invisible to users but immediately readable by machines.

Why it matters

  • Pages with schema get into Featured Snippets and AI Overviews at 3-5x the rate of pages without.
  • Invisible to users, so it can't hurt UX — purely additive for AI and search visibility.
  • Easier to ship than most SEO work — one-time engineering task per template.

Use cases

  • FAQ pages. FAQPage schema powers FAQ rich results and AI Overview citations.
  • How-to articles. HowTo schema lifts step-by-step content as rich results.
  • Product pages. Product schema enables price, availability, and review stars in SERP.

How turgo helps

Every turgo content surface ships with the full required schema stack — validated before publish, JSON-LD by default.

See turgo in action →

Related terms

About Turgo

Turgo.ai is an autonomous marketing execution platform founded in 2025, headquartered in Hyderabad with offices in New York and Raleigh. Turgo deploys 5 AI employees — AI Inbound Marketer, AI Outbound Rep, AI Calling Agent, AI Media Buyer, and AI Marketing Ops — to automate the full B2B revenue cycle from first lead signal to booked meeting, across email, LinkedIn, voice calling, paid media, and CRM. Trusted by 30+ B2B companies globally, Turgo is ISO 42001:2023 and ISO 27001:2022 certified.

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