How to Audit Your Structured Data for Errors

How do I know if my structured data has errors?

Run your live URLs through two free tools: Google's Rich Results Test and the Schema Markup Validator at validator.schema.org. Then check the rich result reports in Google Search Console. Together they show broken syntax, missing required fields, and markup Google cannot use. That trio catches almost every schema problem.

Structured data is one of those things that looks fine until it quietly is not. A single missing field or a typo in your JSON-LD can stop a page from earning rich results, and you may never get an error email about it. So you have to go look.

I audit schema on every site I work on, new or old. It takes an hour and often finds issues the owner had no idea existed. Here is the exact process I use, and the tools I trust.

What is structured data, and why do errors matter?

Structured data is code, usually JSON-LD, that describes your page to machines using the schema.org vocabulary. It tells search engines and AI systems what a page is about in plain, labeled terms. Errors matter because broken markup can be ignored, and ignored markup gives you none of its benefits.

Think of schema as a name tag for each part of your page. This is an article, this is the author, this is the price, this is the business. Search engines like Google, and AI answer engines, read those tags to understand and describe your content with confidence.

When the markup is wrong, one of two things happens. Either the engine throws it out entirely, or it reads a half-broken version and gets confused. Neither helps you. Clean, valid structured data is a small technical detail that quietly supports both classic SEO and getting cited by AI. I dug into that trust angle in my piece on whether you can trust AI-generated schema markup.

Which tools should I use to audit schema?

Use three free tools. Google's Rich Results Test checks whether a page qualifies for Google rich results. The Schema Markup Validator at validator.schema.org checks whether your markup follows schema.org rules in general. Google Search Console shows errors across your whole site over time. Each answers a different question.

The Rich Results Test is the one most people know. You paste a URL or code, and it tells you which rich result types Google detected and whether any are blocked by errors. It is strict on purpose, because it is really asking "can Google actually use this?"

The Schema Markup Validator is broader. It is a collaboration among Google, Microsoft, and Yahoo, and it officially replaced Google's old Structured Data Testing Tool back on August 9, 2021. It flags syntax problems and invalid properties for any schema.org type, even ones Google does not turn into a rich result. I use it to catch mistakes the Rich Results Test stays silent about.

What is the difference between the Rich Results Test and the Schema Markup Validator?

The Rich Results Test judges your markup by Google's rules and only reports types Google can display. The Schema Markup Validator judges your markup by the wider schema.org standard and reports everything. One tells you what Google will show. The other tells you if your code is technically correct.

This gap trips people up. You can have schema that the Schema Markup Validator calls perfectly valid, yet the Rich Results Test refuses to use because it is missing a field Google specifically requires. The code is not broken. It just does not meet Google's stricter bar for a visible rich result.

That is why I run both, not one. The validator confirms my JSON-LD is well formed and uses real schema.org properties. The Rich Results Test confirms Google will actually reward it. If a page passes the validator but fails the Rich Results Test, I know the problem is a missing Google-required field, not bad syntax.

What are the most common schema errors I should look for?

The usual culprits are missing required fields, wrong value types, broken JSON syntax, and markup that does not match what is on the page. A price with no currency, a date in the wrong format, or a review with no rating are classic examples. Most errors are small and easy to fix once found.

Missing required fields are the most frequent issue I see. Article schema without a headline, Product schema without a price or availability, or Organization schema without a name will all get flagged. The engine needs those pieces, and without them it cannot build a valid result.

The second big group is mismatched or wrong-type values. Putting text where a date should go, or nesting a property in the wrong place, breaks the meaning even when the syntax looks fine. And the sneakiest error is content mismatch: your markup claims a rating or price that does not actually appear on the page. Google treats that as a guidelines violation, so I always make the markup match the visible content exactly.

Does my FAQ schema still do anything after Google removed the rich result?

Your FAQ schema no longer produces a visible rich result in Google, but it is not useless. Google stopped showing FAQ rich results on May 7, 2026, yet it says it still reads FAQ structured data to understand your pages. So the markup can stay, it just will not draw those expandable questions anymore.

Here is the timeline worth knowing. Google spent years pulling back FAQ rich results, limiting them to authoritative health and government sites in 2023, and deprecating HowTo rich results around the same time. Then in 2026 it finished the job. As of May 7, 2026, FAQ rich results stopped appearing, and Google began removing the FAQ report from Search Console and FAQ support from the Rich Results Test that following month.

So during an audit, do not panic when FAQ markup no longer shows a rich result preview. That is expected now, not an error. I still keep clean FAQ markup on pages where it helps machines understand the content, and I no longer count on it for a search feature. I walked through the full change in my note on the FAQ rich results deprecation.

How do I use Google Search Console to catch schema errors at scale?

Google Search Console shows structured data issues across every indexed page, not just the one URL you are testing. Open the rich result reports and the enhancement sections. They group errors and warnings by type, so you can see a pattern once and fix it across a whole template at a time.

The single-URL tools are great for spot checks, but they do not scale. Search Console does. It reads your live pages as Google crawls them and tells you, for example, that 40 blog posts share the same missing-field error. That almost always means one broken template, not 40 separate mistakes.

This is where an audit becomes efficient. On a Webflow site, most schema lives in a shared template or embed, so fixing the template fixes every page built from it. I use Search Console to find the pattern, fix the source once, then request validation so Google recrawls and clears the error across the group.

How often should I audit my structured data?

Audit after any major change to your site, and then on a light quarterly schedule. Template edits, a redesign, a CMS migration, or a new content type can all silently break markup. A quick check after those events, plus a routine look every few months, keeps small errors from piling up.

Schema is fragile in a specific way: it breaks when something upstream changes, not on its own. If you edit a blog template, change a field name, or move to a new CMS structure, the markup that depended on the old setup can quietly stop working. So I always re-audit right after that kind of work.

Between big changes, a quarterly pass is enough for most small sites. I skim Search Console for new errors, spot-check a few key page types in the two testing tools, and confirm my most important pages still pass. It is a small habit that protects a real slice of your search and AI visibility.

What should I do when I find an error?

Fix the source, not the symptom. Find the template, embed, or field that produced the bad markup, correct it once, and republish. Then revalidate the page in the testing tools and, for site-wide issues, use Search Console's validation button so Google recrawls the fixed pages.

The order matters. First confirm exactly what the tool is complaining about, because the message usually names the field. Then trace it back to where the markup is generated. On most sites that is a single shared place, so one edit clears many pages. Guessing and editing page by page is how people waste an afternoon.

After the fix, prove it. Re-run the corrected URL through the Rich Results Test and the Schema Markup Validator to confirm the error is gone. For anything Search Console flagged across many pages, hit validate and let Google recrawl. If you also generate schema with AI, review it carefully, since that is exactly where subtle, confident errors sneak in, as I covered in my guide to adding Article schema to a Webflow blog.

Where should I start?

Start with your most important page types: your homepage, a key service page, and a blog post. Run each through the Rich Results Test and the Schema Markup Validator, then open Search Console to see site-wide patterns. Fix the templates behind any errors and revalidate. That covers most of the risk fast.

A structured data audit is not glamorous, but it is one of the highest-return hours you can spend on technical SEO and AI visibility. Clean markup helps machines describe you correctly, and that shows up in both search features and AI answers. If you want me to run a full schema audit on your site and fix what is broken at the template level, reach out through pravinkumar.co and I am happy to take a look.