Schema markup is powerful for SEO, but mistakes can lead to missed opportunities or even search penalties. Here’s a breakdown of the most common schema errors, why they matter, and how to fix them.
Mistake: Using schema types that don’t match your content (e.g., marking a service page as Product). Why it matters: Misleading markup can confuse search engines and hurt rankings. How to avoid: Always choose the most accurate, specific schema type for your content.
Mistake: Applying schema to content that users can’t see (e.g., hidden FAQs or keywords). Why it matters: Google may penalize sites for trying to manipulate search results. How to avoid: Only mark up content that is visible to users on the page.
Mistake: Using schema properties that are no longer supported (e.g., using 'aggregateRating' incorrectly). Why it matters: Outdated markup won’t be recognized, and your rich results may disappear. How to avoid: Check Schema.org for current property recommendations and updates.
Mistake: Adding excessive keywords in the schema or using the 'keywords' property where it’s not needed. Why it matters: Looks spammy and doesn’t help SEO; can even hurt trust with search engines. How to avoid: Use keywords naturally, and only in schema types that support them (like BlogPosting).
Mistake: Leaving old dates, authors, or business info in your structured data. Why it matters: Search engines may display outdated or incorrect info in search results. How to avoid: Update schema whenever you update your content.
Mistake: Not testing your markup before publishing. Why it matters: Errors can prevent Google from reading your structured data. How to avoid: Always use Google’s Rich Results Test or Schema.org Validator.
Avoiding these common mistakes ensures your schema works for you, not against you. Accurate, up-to-date, and validated markup is key to SEO success and unlocking rich results.
Need help auditing your structured data? Reach out for a schema health check!