📖 Quick Summary

Tool: Screaming Frog SEO Spider

Difficulty: Beginner

Reading Time: 6 minutes

Business Impact: ⭐⭐⭐⭐


Structured Data Explained

Structured Data helps search engines understand the meaning of your content rather than simply reading the words on a page. By adding structured information using recognised schemas, websites can qualify for enhanced search features such as rich results, review stars, FAQs, product information and other search enhancements.

Correctly implemented Structured Data improves how search engines interpret your website, while incorrect implementation can prevent rich results from appearing.


Schema

What this means

Schema is a standardised vocabulary used to describe the content of a webpage in a way that search engines can understand.

Why this matters to the business

Schema helps search engines better understand your content and may improve how your website appears in search results.

How Growth Architect AI identifies this

By analysing structured data markup discovered during the Screaming Frog SEO Spider crawl.

What to do about it

Implement the appropriate Schema types for your content, such as Articles, Products, Organisations or FAQs.

Related terms

JSON-LD • Microdata • Missing Structured Data


JSON-LD

What this means

JSON-LD is Google’s recommended method of implementing Structured Data using JavaScript notation.

Why this matters to the business

JSON-LD is easier to maintain, less prone to errors and fully supported by Google for most rich result features.

How Growth Architect AI identifies this

By detecting JSON-LD structured data embedded within webpage source code.

What to do about it

Where possible, implement Structured Data using JSON-LD rather than older methods.

Related terms

Schema • Microdata


Microdata

What this means

Microdata is an older method of embedding Structured Data directly within HTML elements.

Why this matters to the business

Although still supported, Microdata is generally more difficult to maintain than JSON-LD.

How Growth Architect AI identifies this

By analysing HTML markup for Microdata attributes.

What to do about it

Consider migrating to JSON-LD where practical while ensuring existing Structured Data remains valid.

Related terms

Schema • JSON-LD


Missing Structured Data

What this means

The page contains no Structured Data markup.

Why this matters to the business

Without Structured Data, search engines may have less context about your content and your pages may miss opportunities for enhanced search results.

How Growth Architect AI identifies this

By detecting pages where no supported Structured Data has been implemented.

What to do about it

Implement appropriate Schema markup for important pages where it adds value.

Related terms

Schema • JSON-LD


Invalid Structured Data

What this means

Structured Data exists but contains errors or validation issues.

Why this matters to the business

Invalid Structured Data may prevent Google from displaying rich results even though markup has been implemented.

How Growth Architect AI identifies this

By analysing Structured Data syntax and identifying implementation issues discovered during the crawl.

What to do about it

Correct validation errors and ensure your Schema follows Google’s Structured Data guidelines.

Related terms

Missing Structured Data • Schema • JSON-LD


Why Growth Architect AI analyses Structured Data

Growth Architect AI doesn’t simply detect whether Structured Data exists. It helps identify missing, incomplete and invalid Schema implementations that may limit search visibility and rich result opportunities. By combining crawl data with Google Search Console insights, Growth Architect AI helps ensure your website communicates clearly with both search engines and users.Growth Architect AI helps transform your website into a stronger, more connected SEO ecosystem.