---
title: Schema Markup
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/schema-markup/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/schema-markup/
last_updated: 2026-06-20
---

# Schema Markup

> Add, fix, or optimize schema markup and structured data on their site.

A comprehensive guide to adding, fixing, and optimizing schema.org structured data so search engines understand your content and surface rich results. It covers the high-impact schema types Google actually renders: Organization, Product, FAQ, LocalBusiness, Breadcrumb, Article, Event, HowTo, Review, plus an entity-optimization framework for Knowledge Graph presence and AI citation.

## Use cases
- Adding FAQ, Product, Review, or Breadcrumb schema to earn rich snippets
- Implementing JSON-LD in static sites, Next.js, or WordPress
- Migrating legacy inline microdata to modern JSON-LD
- Combining multiple schema types on one page with @graph
- Building Knowledge Graph entity signals with sameAs and @id consistency
- Validating structured data against Rich Results Test

## Benefits
- Increase organic CTR by 20-40% with star ratings, prices, and FAQ accordions in search
- Help AI answer engines resolve and cite your brand as an entity
- Avoid manual actions by keeping schema accurate to visible page content
- Prioritize the 5 schema types that drive 80% of visibility, then expand

## What’s included
- Copy-ready JSON-LD templates for 10+ schema types with required and recommended fields
- @graph multi-schema and centralized schema-generator patterns for React and Next.js
- 6-step legacy microdata to JSON-LD migration workflow
- 47-signal entity optimization checklist across 6 categories for SEO and AI citation
- Top field-trap table (trailing commas, case-sensitive types, self-serving reviews)
- Validation and testing checklist with Rich Results Test and Search Console monitoring

## Who it’s for
SEO practitioners and developers who want accurate, rich-result-eligible structured data that boosts click-through and strengthens entity recognition across search and AI engines.

## How it runs
The skill implements schema.org JSON-LD that matches what Google actually still renders in 2026: it picks the right types per page, generates them from one source of truth, merges them into a @graph and validates before anything ships.
1. Assesses the page first: page type, primary content, existing markup and its errors, and which rich results are realistically achievable for this content.
2. Selects types with current deprecation awareness: Product, Review, Article, Recipe, Video, LocalBusiness, Breadcrumb and Organization still produce visual rich results; FAQ and HowTo schema are still generated for AI inference and machine readability, but never sold as 'starred SERP results' since Google retired their visuals.
3. Generates markup through central builder functions (a lib/schema.ts layer), so the business name, address and phone inside JSON-LD come from the same constants as the visible page content, never a second diverging copy.
4. Combines multiple types per page into a single @graph block with @id cross-references between Organization, WebSite and page-level entities, stripping the repeated @context.
5. Validates everything in the Rich Results Test and the Schema.org validator before deploy, then watches Search Console Enhancement reports to measure which schema types actually perform.
6. For legacy sites, runs the microdata migration: detect itemscope/itemprop markup on the live page, map it one to one into JSON-LD carrying the existing values (inventing ratings is banned), inject per platform (Wix embed, WordPress plugin, Next.js component) and resubmit the changed pages for indexing.

## FAQ
### My site runs on WordPress, not a JS framework, is this still usable?
Yes. The JSON-LD templates are copy-ready and the guide covers static sites, Next.js, and WordPress, including a 6-step migration path from legacy inline microdata. The markup itself is framework-independent.

### Can't I just copy examples straight from the schema.org docs?
You can, but raw examples don't tell you what Google actually renders or what silently fails. This focuses on the high-impact types, the field traps that break them: trailing commas, case-sensitive types, self-serving reviews, and a 47-signal entity checklist for Knowledge Graph presence and AI citation.

### Does adding schema guarantee rich results or better rankings?
No. Schema makes a page eligible for rich results; whether Google shows them is its call, and markup that doesn't match the visible page content risks a manual action. It's a visibility lever, not a ranking switch.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [How to automate SEO and AEO with Claude](https://forgehouse.ai/guides/automate-seo-claude/)