Microdata Schema

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Microdata Schema is structured markup you add to your HTML to help search engines understand the meaning of your content beyond just the text. It can lead to richer search result displays like star ratings or event details. Accurate schema improves how your content is interpreted and presented.

Microdata Schema

Microdata schema is a way of annotating your HTML so that search engines understand the context behind your content — not just the words, but what they represent. A price is not just a number; it is the cost of a product. A name is not just text; it is the author of an article. By adding structured markup, you give search engines the clarity they need to display your content in richer, more useful ways in search results.

Why It Matters

It enables rich results. Structured data can trigger enhanced search listings — star ratings, recipe cards, FAQ dropdowns, event details, product prices, and more. These rich results dramatically increase visibility and click-through rates.
It helps search engines understand context. Without schema, search engines rely on natural language processing to guess at meaning. With schema, you explicitly state that something is a product, review, event, or recipe. No guessing required.
It future-proofs your content. As search engines develop new features and display formats, structured data is the foundation they build on. Sites with good schema markup are first in line for new rich result types.
It benefits voice search and assistants. Digital assistants pull structured data to answer spoken queries. Properly marked-up content is more likely to be surfaced as a direct answer.

How to Implement It

Choose the right schema type. Visit schema.org to find the type that matches your content — Article, Product, Recipe, Event, FAQPage, LocalBusiness, and dozens more. Pick the most specific type that applies.
Use JSON-LD format. While microdata embeds attributes directly in HTML tags, JSON-LD places structured data in a script block. JSON-LD is the format recommended by Google because it is easier to maintain and does not clutter your HTML.
Include all required properties. Each schema type has required and recommended properties. Missing a required property means the rich result will not appear. Check the documentation for your chosen type and fill in every required field.
Keep schema data consistent with visible content. The information in your structured data must match what users see on the page. If your schema says the price is $29 but the page shows $39, search engines may penalize or ignore the markup.
Test your markup before publishing. Use the Rich Results Test to validate your structured data. It shows exactly which properties are detected, which are missing, and whether your markup qualifies for rich results.

Common Mistakes

Adding schema that does not match the page content. Marking up a blog post with Product schema because you want rich results is misleading. Search engines will ignore or penalize inaccurate markup. Only use schema types that genuinely describe what is on the page.
Leaving out required properties. Adding the type but skipping required fields means you did the work without getting the benefit. Always complete every required property for the schema type you are using.
Never testing the markup. Structured data is easy to get wrong — a missing bracket, wrong property name, or incorrect nesting silently breaks everything. Test every page where you add schema.
Only adding schema to the homepage. Rich results are page-specific. Your product pages need Product schema, your articles need Article schema, your FAQ page needs FAQPage schema. Each page type needs its own appropriate markup.

Bottom Line: Add structured data using the schema type that matches each page's content, use JSON-LD format, include all required properties, and test before publishing. Good schema markup turns ordinary search listings into rich, attention-grabbing results.

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Synonyms: Schema Markup, Microdata, Rich Snippets

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noun | / LIK-wid PUR-pul /

(biochemistry) Also known as visual purple or rhodopsin — a light-sensitive receptor protein found in the rods of the retina. It enables vision in dim light by transforming invisible darkness into visible form. Derived from the Greek rhódon (rose) and ópsis (sight), its name reflects its delicate pink hue and vital role in perception.
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Glossary of Terms

Microdata Schema