7 Structured Data Mistakes That Hurt AI Visibility
Bad schema is worse than none. Here are the most common JSON-LD mistakes and how to fix them before they cost you citations.
Common schema mistakes
Most schema problems come down to mismatches, omissions and invalid syntax that cause engines to ignore your markup — or distrust it.
Fix them before shipping
Validate every change in Google's Rich Results Test, make sure schema matches visible content, and fill required properties for each type.
Schema mistakes vs fixes
| Mistake | Fix |
|---|---|
| Schema doesn't match visible content | Mark up only what's on the page |
| Missing required properties | Fill all required fields per type |
| Invalid JSON-LD syntax | Validate with Rich Results Test |
| Marking up hidden/fake content | Only mark up real, visible content |
| One @type doing everything | Use the correct specific types |
Frequently asked questions
Is bad schema worse than no schema?⌄
Often yes — invalid or mismatched markup can be ignored or erode trust. Always validate before shipping.
How do I check my structured data?⌄
Use Google's Rich Results Test and Schema.org validator, and confirm the markup matches your visible content.
What's the most common schema mistake?⌄
Marking up content that isn't visible on the page, which engines may ignore or penalize.
