Structured Data (Schema) Audit

Structured data auditis a check that reads the JSON-LD markup in a page's source code and compares its schema types and fields with the rich result rules of Google. The goal is to make visible missing fields and errors that prevent prominent views in the search result, such as a star rating, FAQ box, product price, or recipe card. This tool pulls the address you entered, extracts the JSON-LD blocks, and structured dataIt reports whether your device is ready for rich results.

What is the difference between JSON-LD and microdata?

JSON-LD is the format suggested by Google that carries the markup in a separate script block from the HTML; microdata, on the other hand, embeds information directly into HTML tags. The tool recognizes both: it parses JSON-LD blocks one by one, separately reporting the presence of microdata.

Why is Structured Data Important?

Structured data allows the search engine and AI search engines to precisely understand what your page is about; Thus, your chances of gaining rich results increase and your content is cited in the correct context. Missing or incorrect marking often results in the rich result not being generated at all, because when Google cannot find the required field, it does not display that type.

What Does This Tool Measure?

The tool pulls your page and returns “healthy,” “can be improved,” or “faulty” for each check:

• The number of JSON-LD blocks on the page and the number of blocks found schema types
• Bad blocks that cannot be parsed and the reason for the error
• What Google wants for each schema type mandatory and recommended fields
• Cross-check result from official validator Schema.org

Which Type of Schema Brings Which Rich Results?

The most frequently used types and their corresponding appearance in the search result are as follows:

How Should You Read Audit Results?

marked red required field missing is the top priority: without this field, Google will not display that type as a rich result at all. Recommended fields marked in yellow reinforce the rich result but are not essential. If a block gives a "parse error" it is completely ignored, fix it first. Meta to make sure your tags are correct as well meta tag analysis tool to see if your page is crawled by artificial intelligence bots. artificial intelligence scanning control Also run the tool.

Is Structured Data Necessary for Every Site?

Yes, every page, regardless of scale, benefits from accurate structured data. An e-commerce product appears richer in the search result with price and stock marking, a service page with establishment and rating information, a blog post with author and date fields. In sectors where competition is intense in Türkiye, this view is the difference that makes yours click between two results in the same row. For a small business at least organization and LocalBusiness, for content sites article and breadcrumb list Schemes are recommended for starters.

How to Fix Missing Structured Data in 2026?

Choosing the right schema type, filling in missing fields, and establishing consistent markup across the site is a technical exercise. Let's build your site's schema architecture from scratch and complete all the fields required for rich results and artificial intelligence visibility: enterprise SEO With our service, we make your technical infrastructure ready for rich results.