Audit FAQ schema with scoring, warnings, and export tools. Validate questions, answers, and required fields. Improve structured data quality for stronger search visibility today.
Paste FAQPage JSON-LD, tune thresholds, and score structured data quality.
| Scenario | FAQ Items | Duplicate Questions | Missing Answers | Unsafe Markup | Score | Grade |
|---|---|---|---|---|---|---|
| Clean product FAQ block | 6 | 0 | 0 | 0 | 95.80 | Excellent |
| Minor length issues | 8 | 0 | 0 | 0 | 82.40 | Strong |
| Duplicate and short answers | 7 | 2 | 1 | 0 | 63.15 | Needs Work |
| Broken schema object | 4 | 1 | 2 | 1 | 41.90 | High Risk |
Overall Score = (Structure Score × 0.45) + (Completeness Score × 0.35) + (Quality Score × 0.20)
Structure Score starts at 100. It loses points for missing context, empty mainEntity, and invalid Question or Answer typing.
Completeness Score = (Valid FAQ Pairs ÷ Comparison Count) × 100
Quality Score = 100 − penalties for duplicates, empty values, short answers, overlong entries, and unsafe markup.
The comparison count uses the larger value between expected FAQ count and detected FAQ items. This prevents inflated completeness when entries are missing.
It reviews FAQPage JSON-LD structure, detects valid Question and Answer pairs, counts duplicates, checks text thresholds, flags unsafe markup, and calculates weighted audit scores.
Yes. The tool removes opening and closing script tags automatically, then parses the remaining JSON-LD content for analysis.
Expected count helps measure completeness against your content plan. If you expected ten FAQs but only six valid pairs appear, the completeness score drops.
No. The checker estimates technical quality and readiness, but search appearance still depends on page quality, crawlability, policy fit, and search engine decisions.
When normalization is enabled, punctuation and case differences are ignored. Similar text like “What is shipping?” and “what is shipping” becomes one duplicate pattern.
Very short answers can weaken usefulness and clarity. The minimum answer length setting helps identify entries that may need more detail.
Strict mode increases penalties for incorrect Question or Answer typing. It is useful when you want tighter technical enforcement during schema reviews.
Yes. After calculation, use the CSV button for spreadsheet-style data or the PDF button for a clean summary report.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.