Technical SEO Cheat Sheet

Structured Data
Errors

You qualify for rich results. Your schema markup is just broken. Fix your code to capture search real estate.

Where to find it: Experience > Shopping (products) OR Search Appearance > Rich Results

What It Is

Structured data (schema markup) is semantic code in your pages that explicitly defines content details—whether it represents a product, article, FAQ, local business, or reviews. When Search Console flags structured data errors, the schema exists on your page but contains syntax or field mistakes that prevent Google from reading and verifying it.

Why It Matters

Rich results—like visual FAQ dropdowns, gold review stars, dynamic product prices, or breadcrumbs—directly boost click-through rates. Pages containing active review star markup typically earn a 15% to 30% higher CTR in the exact same ranking spot. When structured data fails, you miss out on high-visibility search real estate.

Root Diagnostics

5 Common Root Causes

Mismapped dynamic plugins, incomplete fields, and syntactic JSON coding bugs are typical schema triggers.

Missing Required Properties

Schema is deployed but misses absolute key requirements. Common example: Product schema lacks "name" or "offers" objects.

Invalid Property Values

Values provided do not match the expected structural data type. Example: Entering price points as letters ("$45") instead of plain numeric values.

Deprecated Schema Types

Utilizing obsolete schemas and legacy properties that Google no longer supports or accepts for generating rich results.

Mismatched Page Placements

Applying targeted schema structures to the wrong pages. Common mistake: Injecting transactional Product schema on an informational blog post.

JSON-LD Syntax Glitches

Minor coding syntax slip-ups. Hand-coding typos, missing commas, raw brackets, or unclosed quotation marks break the entire code block.

Interactive Standard Operating Procedure

The Fix Blueprint (Interactive SOP)

Check off each diagnostic step to monitor your implementation progress live!

Implementation Progress: 0% Completed (0/6)

1. Track Failed Schema Classes

Open the Rich Results report in Search Console. Identify which schema groups are raising errors—FAQ, Product, Article, or Local Business.

2. Analyze the Specific Error Value

Click deep into the error reports inside GSC. Examine the warning line to see exactly which field properties are failing and what types Google expected to extract.

3. Run the Google Rich Results Test

Paste the target URL or raw HTML code into search.google.com/test/rich-results. This details a visual breakdown of where validation is breaking.

4. Correct the JSON-LD Syntax

Fix the codebase: add required nested fields, format value properties correctly, verify commas or quotation positions, and validate JSON-LD syntax logic.

5. Cross-Check with Schema.org Validator

Prior to launching live updates, copy the JSON-LD payload into validator.schema.org to confirm structural compliance and clean syntax execution.

6. Live Retest and Validate Fixing Cycles

Once the fix goes live, rerun the Rich Results Test. Go to GSC and use the URL Inspection Tool to submit indexing requests for immediate validation cycles.

Tools

GSC Rich Results Reports
Free | Automatically indexes, sorts, and organizes errors by schema types
Google Rich Results Test
Free (search.google.com/test/rich-results) | Validates live URLs and code blocks
Schema Markup Validator
Free (validator.schema.org) | Complete validation of schema formats

Time to Fix

30 min

To Audit and Group Errors

30-60 min

For standard JSON corrections

Pro Tip

Never apply schema classes to pages they do not represent.

Spamming FAQ schemas across unrelated blogs to capture visual features is treated by Google's guidelines as manipulative. They will suppress rich search features domain-wide if they detect deceptive markup!

Structured Data Errors