Definitions:
●
Structured Data: A standardized format for
providing information about a page.
●
Schema Markup: A vocabulary (from Schema.org)
used to label content in structured data.
●
Rich Snippets: Enhanced search results (e.g.,
with reviews, images) powered by structured data.
Why Use Structured Data?
●
Improves search appearance (rich
results)
●
Enhances click-through rates (CTR)
●
Helps search engines understand
page meaning
●
Supports AI-driven experiences
(Knowledge Graph, SGE, voice search)
Implementation Checklist
1. Choose Where to Add Schema
●
Sitewide (e.g., Breadcrumb, WebPage schema)
○
Add via CMS settings (e.g.,
header/footer script fields)
●
Page-specific (e.g., Product, Event schema)
○
Add via page-level script fields
or template fields
2. Select the Right Schema Type
Use Google’s Search
Gallery to:
●
Find schema types based on content
(Article, Product, FAQ, LocalBusiness, etc.)
●
Learn required + recommended
properties
3. Generate the JSON-LD Markup
3
Options:
- Use Plugins (WordPress
only):
○
Yoast SEO – Auto applies basic schemas
(WebPage, Article)
○
RankMath – Gives control over schema per
post/page
○
Easy but limited in depth and
customization
- Use Schema Generators:
○
Merkle’s JSON-LD Generator – Easy UI for
beginners
○
Schemantra – Advanced, supports complex
relationships with @id
○
RankRanger Schema Generator – Supports subtype
attributes
- Manual JSON-LD Creation:
○
Offers full control and nesting
○
Required for connecting entities
(contextual SEO)
○
Ideal for advanced SEO or complex
sites
- Use ChatGPT (with precise prompts):
○
Start with a base schema prompt
(e.g., “Generate Person schema with name, jobTitle, worksFor”)
○
Include sameAs, alternateName, and @id for relationships
4. Test & Validate Schema
Use:
●
Rich Results Test –
Google’s official testing tool
●
Classy Schema Visualizer –
See entity relationships
What to Check:
●
Errors
●
Warnings
●
Missing required/recommended
properties
●
Nesting and entity linking
Advanced: Create a Knowledge
Graph
Connected
Schema Markup:
●
Use @id
fields to link entities:
○
e.g., connect Organization, WebPage, and Product
●
Use Schema Paths Tool by SchemaApp to discover entity connection logic
Example:
"@context": "https://schema.org",
"@type": "Product",
"name": "Canon EOS 90D",
"brand": {
"@type": "Organization",
"@id": "#canon",
"name": "Canon"
}
Quality Guidelines
Google requires:
●
Schema reflects actual visible content
●
All required and recommended properties
●
No misleading or spammy markup
●
Canonical pages and duplicates must also have
matching schema
Check:
●
Are images crawlable?
●
Is content relevant and accurate?
●
Are all reviews/user-generated
content real?
Formats Supported by Google
|
Format |
Notes |
|
JSON-LD (Recommended) |
Embedded via <script
type="application/ld+json"> |
|
Microdata |
Uses HTML attributes, inline |
|
RDFa |
HTML5 extension for linked data |
Tips for CMS Users
|
CMS |
Best
Approach |
|
WordPress |
Yoast, RankMath, Manual in theme or page |
|
Shopify |
Apps like JSON-LD for SEO |
|
Wix |
Built-in defaults + manual customization |
|
Webflow |
Embed JSON-LD via custom code block |
|
Squarespace |
Add in code injection header or use plugins |
Real-World SEO Benefits (Case
Studies)
|
Brand |
Result |
|
Rotten
Tomatoes |
25% higher CTR with schema |
|
Food
Network |
35% increase in visits |
|
Rakuten |
3.6× interaction rate on AMP |
|
Nestlé |
82% CTR improvement |
Track Performance
Use:
●
Search Console > Enhancements Report
●
Monitor CTR, Impressions &
Positions
●
Use filters to compare pages with
vs. without structured data
Bonus: Use JavaScript &
Google Tag Manager (GTM)
GTM-Based Dynamic Schema
●
Set up GTM container
●
Create Custom HTML Tag with schema
●
Use variables like {{Page Title}} to auto-generate values
Server-Side Rendering
●
Ensure schema is present in
rendered HTML
●
Use frameworks like Next.js,
Nuxt.js for SSR
Final Structured Data SEO
Checklist
|
Task |
Done? |
|
Decide on schema type per page |
☐ |
|
Use generator/tool or create manually |
☐ |
|
Validate schema using Google tools |
☐ |
|
Ensure all required fields are filled |
☐ |
|
Add @id to connect entities |
☐ |
|
Track rich results in Search Console |
☐ |
|
Avoid errors, warnings, and spam violations |
☐ |
|
Test with Rich Results Tool after deployment |
☐ |
In Details
PART 1: What Is Structured Data?
Structured
data is a standardized way to label your website’s
content so search engines understand it better.
Think of it like this:
●
Your content = a book
●
Structured data = a table of
contents + glossary
It helps Google know that:
●
A number is a price
●
A string is a product name
●
A sentence is a review, not just text
Google uses structured data to create Rich Snippets and Knowledge Graph Panels.
PART 2: Why Structured Data Is
Important
|
Benefit |
Explanation |
|
Enhanced Search Listings |
Rich results like images, stars, reviews,
FAQs |
|
Higher CTR |
Eye-catching previews in SERPs improve
clicks |
|
Semantic Understanding |
Helps Google’s AI understand your content
type |
|
Better Analytics |
Track schema visibility in Google Search
Console |
|
Voice Search Optimization |
Required for Alexa, Google Assistant, SGE |
PART 3: Types of Schema (Most
Important)
These are the most-used and SEO-impactful
types:
Article / BlogPosting
●
For blogs, news posts
●
Add author, datePublished,
headline, image
Product
●
For ecommerce
●
Includes price, availability,
brand, SKU, rating
Event
●
Used for concerts, webinars,
launches
●
Add location, date, organizer,
tickets
FAQPage
●
Adds expandable questions in
Google results
●
Format: question + acceptedAnswer
LocalBusiness
●
For brick-and-mortar stores or
service providers
●
Includes opening hours,
geolocation, logo, sameAs links
Organization
●
For company-wide schema (e.g. in
footer or header)
●
Add logo, founder, contactPoint,
sameAs
PART 4: How to Implement Structured
Data
You have 3 options:
Option 1: WordPress Plugins
Easy but limited
●
Yoast SEO: Basic schemas like WebPage, Article
●
RankMath: More flexible, supports FAQ,
Product, etc.
Option 2: Online Schema Generators
These generate JSON-LD scripts you can paste into your HTML.
Option 3: Manual Code (Advanced)
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Product",
"name": "Logitech MX Master 3",
"brand": "Logitech",
"price": "99.99",
"priceCurrency": "USD",
"availability": "https://schema.org/InStock"
}
</script>
PART 5: Schema Placement
Where to Place the Schema Code:
●
In the <head> section of your page OR
●
Just before the </body> tag
Use <script
type="application/ld+json"> to wrap the data.
For CMS Users:
●
WordPress: Use theme header/footer, or plugin
fields
●
Shopify: Use theme.liquid or
product-template.liquid
●
Webflow/Squarespace: Use Embed blocks
PART 6: Required vs Optional
Properties
|
Property |
Required? |
Notes |
|
@context |
Yes |
Always "https://schema.org" |
|
@type |
Yes |
E.g. Product, BlogPosting |
|
name |
Yes |
Title of item (product/post) |
|
description |
Yes |
Short meta-like summary |
|
image |
Yes |
Must be crawlable |
|
url |
Yes |
Canonical or content link |
|
offers (for Product) |
Yes |
Contains price, currency, stock |
|
sameAs |
Optional |
For linking to social profiles |
PART 7: Linking Entities (Advanced
but Powerful)
Use @id and sameAs
to connect things.
Example:
"@type": "Person",
"@id": "https://example.com/#author",
"name": "Hasib Al Hasan",
"sameAs": [
"https://www.linkedin.com/in/hasibseo",
"https://twitter.com/hasibseo"
]
This connects your author profile to your LinkedIn
and Twitter – builds entity trust.
PART 8: Testing Your Schema
(Critical)
Always test your structured data before
and after implementation.
Tools:
○
Checks if you're eligible for
stars, FAQs, reviews, etc.
○
Pure syntax validation
○
See graph-style entity mapping
PART 9: Tracking Schema in Google
Search Console
Navigate to:
GSC → Enhancements
You'll see:
●
Which schema types are detected
●
Errors (missing fields, invalid
data)
●
Which URLs are eligible for rich
results
Fix warnings too – they’re not fatal but
they limit full display.
PART 10: Schema for AI-Driven Search
(SGE, ChatGPT, Perplexity)
Structured
data plays a role in:
●
Google SGE (AI Overviews)
●
ChatGPT citations
●
Perplexity.ai rankings
Add:
●
Clear author
and datePublished for EEAT
●
sameAs links for brand presence
●
Internal entity connections via @id
This helps AI understand your domain and
surface your answers.
Final Implementation Checklist
|
Task |
Status |
|
Select correct schema types per page |
|
|
Use tools or manual code for JSON-LD |
|
|
Place schema in head/body of HTML |
|
|
Validate schema before deployment |
|
|
Connect entities using @id / sameAs |
|
|
Test with Rich Results and Schema.org tools |
|
|
Monitor Enhancements in GSC |
|
|
Update schema when content changes |
|
Advanced Schema Markup
Tutorial
1. What the Video Covers
●
Purpose & Importance of Schema Markup
●
Common schema scenarios: articles, products,
FAQs, events, local business
●
How to implement advanced schema using JSON‑LD
●
Validation best practices using testing tools
2. Why Schema Markup Matters
●
Helps search engines understand
your content structures
●
Enables rich snippets: star
ratings, FAQ toggles, event info, breadcrumbs
●
Increases click-through rate (CTR) and improves trust and visibility in
search results
3. Core Schema Types
Showcased
Articles & Blog Posts
●
Use structured types like Article,
NewsArticle, or BlogPosting
●
Include properties: headline,
author, datePublished, image, publisher
Products
●
Use Product
schema
●
Include relevant properties: name, price, brand, offers, aggregateRating
FAQ
●
Leverage FAQPage
markup
●
Structure Q&A items using
Question/Answer schema
●
Aids Google to show FAQ results
directly in SERPs
Local Business
●
Use LocalBusiness or relevant subtype
●
Include key fields: business name,
address, phone number, opening hours, services
4. Best Syntax: JSON‑LD (Why
& How)
●
Preferred format by Google for
structured data
●
Easy to implement and maintain as
separate script block
●
Reduces risk of page layout
disruption
●
Video demonstrates inserting
JSON‑LD snippet into <head> or right before closing </body> tag
5. Implementation Steps (As
Shown)
- Choose appropriate
schema type for page content
- Build JSON‑LD code manually or via plugin/template
- Populate required and recommended properties (e.g. @type, @context, and entity-specific fields)
- Embed snippet into webpage
in the head or body tag
- Test using Google’s Rich
Results Test before publishing
6. Common Mistakes & How
to Avoid Them
|
Mistake |
Fix |
|
Wrong schema type (e.g. using Review for
blog post) |
Match page content with correct schema |
|
Incomplete or missing required properties |
Use official Schema.org definitions |
|
Hidden or non-visible elements marked up |
|
|
Errors or warnings not addressed |
Validate before and after deployment |
7. Enhancing Schema for Rich
Snippets & CTR
●
Aggregated Ratings: Use AggregateRating schema to enable star ratings
●
About Events: Event
schema with startDate, location, offers
●
BreadcrumbList: Helps Google display site
hierarchy
●
Video emphasizes schema fields
that can trigger eligibility for enhanced SERP elements
8. Testing & Monitoring
●
Run the Rich Results Test to catch errors and
evaluate markup quality
●
Watch for required properties, then fix
warnings or errors immediately
●
Submit pages through Google Search Console to
trigger indexing of new schema
●
Monitor performance using Search Console
reports on rich result impressions and errors
9. Advanced Tips & Pro
Strategies
●
Use multiple schema types on one page (e.g.,
Article + Breadcrumb + FAQ) — choose a primary schema properly
●
Update schema regularly, as schema.org adds
new types or deprecates old ones
●
Use plugins like Rank Math, Schema Pro for
easier setup and editing
●
Maintain transparency: schema must reflect
actual page content and visible information
Final Master Checklist
|
Task |
|
|
Choose correct schema type per page |
|
|
Generate JSON‑LD with all
required/recommended fields |
|
|
Embed code correctly in page HTML |
|
|
Validate using Rich Results Test |
|
|
Fix all critical errors or warnings |
|
|
Publish and request indexing via Search
Console |
|
|
Monitor rich snippet performance over time |
|
|
Update schema as business or content changes |
|