FAQ Schema Validator
FAQPage schema makes your FAQ content eligible for Google rich results, those expandable Q&A blocks at the top of search. Most implementations have subtle errors that disqualify them. Our validator parses your JSON-LD, walks every Question node, and tells you exactly which fields are wrong. 100% browser-based.
Everything runs in your browser. Nothing is sent to a server.
- All FAQ entries pass Google's FAQPage requirementsFound 1 well-formed question/answer pair. Average answer length: 37 words.
Extracted Q&A
Need a starting point? Load the sample again.
How it works
A short, focused workflow — input, run, read the result.
Paste your page URL
Enter the URL containing FAQPage schema. The tool fetches the HTML and extracts all JSON-LD blocks.
Get the validation report
Each FAQPage block is checked: type, acceptedAnswer structure, Q&A pairing, and known Google requirements.
Fix the flagged issues
Common issues: missing acceptedAnswer, nested Q without A, wrong @type on Question, multiple FAQPage blocks conflicting with each other.
What is FAQPage schema, and why does Google still care in 2026?
FAQPage schema is the JSON-LD structured data type that marks up a list of question and answer pairs on a page. It makes the content eligible for Google rich results, AI Overview citations, and the answer panels some verticals still show. Most implementations have a small error that disqualifies the page, which is why the markup is live in 80% of sites but the rich result never appears.
What this FAQ schema validator checks
Every field Google requires for FAQ rich result eligibility, walked field by field.
- FAQPage @type — top-level @type must be FAQPage, not QAPage, FAQ, or a custom type. Wrong type is the single most common disqualifier.
- mainEntity array — the list of Question entities must live under mainEntity as an array. Missing mainEntity makes the whole block invalid.
- Question @type — each item in mainEntity must have @type set to Question. Nested types or missing @type breaks the parser.
- Question name field — the question text, required, typically ending in a question mark. Empty or missing name is a validation error.
- acceptedAnswer object — must be an object with @type Answer and a text field. A bare string is invalid and the most frequent bug in hand-written JSON-LD.
- Q and A pairing — every Question needs an acceptedAnswer, and every acceptedAnswer needs a parent Question. Orphaned entries fail validation.
- Single FAQPage per page — multiple top-level FAQPage blocks should be merged into one with multiple mainEntity entries. Duplicate blocks is a frequent validator error.
- JSON-LD syntax — validates that the <script type='application/ld+json'> block parses as JSON. Trailing commas and unescaped quotes are common.
Who uses this FAQ schema validator
Anyone who has shipped a help center, a FAQ page, or a Q&A blog and wants the rich result to actually fire.
You shipped FAQPage schema on 50 help articles 3 months ago and none of them show rich results in Search Console.
Audit the top 20 pages, find the consistent bug (usually a missing text field in acceptedAnswer), fix the template, and re-validate.
You're generating FAQPage JSON-LD from a CMS template and want to confirm the output parses before deploy.
Run the validator against a sample render, catch the trailing comma or unescaped quote in the template, ship the fix before it hits production.
You wrote a long FAQ blog post and pasted a schema generator's output, but the rich result never appeared.
Run the validator, find the field that is wrong (probably the acceptedAnswer format), fix the JSON-LD, resubmit in Search Console.
You manage 12 clients and need to audit FAQPage schema across 200+ pages as part of a structured data deliverable.
Run the audit per client, ship a per-page fix list, and standardize the JSON-LD template so future pages are valid by default.
Your product pages have a FAQ section but the schema was added by a plugin that emits 3 nested errors.
Identify the plugin's specific bug, fix the JSON-LD output, and stop losing the rich result opportunity on the catalog.
You're auditing a 1000-page site and need to find every page with broken FAQPage schema in one pass.
Run the validator on a sample of URLs from the sitemap, quantify how many are valid, prioritize the fix list by traffic potential.
Related glossary terms
Want a deeper dive? These glossary entries explain the concepts behind this tool.
Frequently Asked
Questions
FAQ schema validation for 2026 Google rich results, AI Overviews, and structured data markup.
Reduced but not dead. Google pulled FAQ rich results from most general search surfaces in 2023, but they still appear for government, health, and education sites, and a number of other verticals. The schema itself is still valid and may influence AI Overview citations. Most major SEO tools still recommend implementing it.
FAQPage is for a single page listing many Q&As (a FAQ doc, a help article). QAPage is for user-generated forum-style Q&A sites. The two are not interchangeable. Using the wrong type is a structured data error Google explicitly flags.
Yes, but they should be combined into a single FAQPage entity with multiple mainEntity entries, not multiple top-level FAQPage nodes. Multiple top-level blocks is a frequent validator error.
The validator will tell you it found zero JSON-LD FAQPage blocks. To add it: wrap your existing FAQ content in a <script type='application/ld+json'> block with @type: 'FAQPage' and an array of Question entities under mainEntity.
Yes, the audit runs entirely in your browser. The only network call is to /api/faq-schema-validator/check, which doesn't log URL contents or train any AI. Rate-limited to 30 checks/hour per IP.
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