---
title: "Free FAQ Schema Validator: JSON-LD Checker"
description: "Validate FAQPage JSON-LD structured data for Google rich results. Find missing fields, invalid types, and Q&#38;A formatting issues. Free, no signup."
url: https://serpview.com/tools/faq-schema-validator
---

Free · No signup

# 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.

## How it works

A short, focused workflow — input, run, read the result.

1. 01  
### Paste your page URL  
Enter the URL containing FAQPage schema. The tool fetches the HTML and extracts all JSON-LD blocks.
2. 02  
### Get the validation report  
Each FAQPage block is checked: type, acceptedAnswer structure, Q&A pairing, and known Google requirements.
3. 03  
### 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.

FAQPage is the @type that wraps an array of Question entities, each with a name (the question text) and an acceptedAnswer (the answer text). The required fields are @context, @type set to FAQPage, mainEntity as an array, and each Question needing @type set to Question, name, and acceptedAnswer. Get any of those wrong and Google treats the whole block as invalid. The block is silently dropped, no warning in Search Console, no rich result.The common bugs are specific. A Question whose name is missing the question mark. An acceptedAnswer that is a string instead of an Answer object with a text field. A Q with no A, or an A with no Q. Multiple top-level FAQPage blocks instead of one with multiple mainEntity entries. A nested Question inside a Question. Using QAPage by mistake. Each is a real validator finding that disqualifies the rich result.Our validator fetches the page, extracts every JSON-LD block, walks each FAQPage, and checks every Question and acceptedAnswer against Google's published requirements. 100% browser-based audit, no data sent to our servers.

5

Required fields in a valid FAQPage entity

30/hr

Free browser-based audits per IP

8+

Common validator issues the tool catches

## 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.

In-house SEOs

### 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.

Developers

### 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.

Content marketers

### 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.

Agencies

### 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.

Ecommerce managers

### 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.

Technical SEOs

### 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.

- [Structured Data](https://serpview.com/glossary/structured-data)
- [Schema.org](https://serpview.com/glossary/schema-org)
- [SERP](https://serpview.com/glossary/serp)

## 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.

## More free tools

Free, no signup required. Built by the team behind SERPView.

[Google SERP Simulator ToolSimulate exactly how your page appears in Google search results. Live SERP preview with title, URL, and description, plus character and pixel-width warnings before you publish.Try it free](https://serpview.com/tools/serp-simulator)[Meta Description GeneratorGenerate 5 AI meta description variants from your page title. See the live SERP preview and copy the winner to your CMS.Try it free](https://serpview.com/tools/meta-description-generator)

## Want this automated across your whole site?

SERPView monitors title tags, meta descriptions, and structured data for every URL — alerting you the moment something breaks or could be improved.

[Get started free](https://app.serpview.com/auth)
