Structured Data Validator (Lite)

The Structured Data Validator checks your schema markup for errors, warnings, and missed opportunities that affect how AI answer engines interpret your content. Paste in your JSON-LD structured data and the tool validates it against current schema.org standards, flags syntax issues that would prevent it from being parsed, and identifies where you're leaving AEO value on the table by missing recommended properties or using schema types that AI engines don't prioritize.

Structured data tells AI engines what your content is about in a language they're built to understand. Without it, AI models have to infer your content's topic, type, authorship, and relationships from the raw text - and inference means guessing. Schema markup removes the guessing. It explicitly declares that this page is an FAQ, this section is a how-to guide, this person is the author with these credentials, and this organization published it. AI engines that can confidently categorize and attribute your content are more likely to cite it.

Google's Rich Results Test validates whether your markup qualifies for Google's specific rich result features - featured snippets, recipe cards, event listings, and similar visual treatments in traditional search results. This tool is focused on AEO readiness, which means it evaluates your structured data through the lens of what helps AI answer engines parse, categorize, and cite your content. There's overlap in syntax validation, but the recommendations differ. Properties that don't matter for Google rich results can matter significantly for AI citation, and this tool flags those.

The highest-impact schema types for AI visibility are FAQPage (signals direct question-and-answer content), HowTo (signals step-by-step instructional content), Article and BlogPosting (establishes content type, authorship, and publication metadata), Organization and Person (builds entity identity and authority signals), and WebPage with speakable markup (explicitly identifies sections suitable for voice and AI extraction). The tool prioritizes validation of these types and flags when your content would benefit from adding one you're missing.

The tool catches three tiers of issues. Syntax errors are problems that completely break your markup - missing brackets, malformed JSON, invalid property types - meaning search engines and AI crawlers can't parse it at all. Validation warnings are technically parsable markup that uses incorrect property names, wrong value types, or deprecated schema elements that may be ignored. AEO opportunity gaps are places where your markup is valid but incomplete - missing recommended properties like author credentials, dateModified, or speakable sections that would strengthen your AI visibility if added.

You need existing markup to validate - the tool checks what you have, it doesn't generate schema from scratch. If you don't have any structured data yet, the AI Optimization Prompt Library includes prompts that can generate schema markup from your content, which you can then run through this validator to confirm it's clean. If you already have markup on your site (many CMS platforms and SEO plugins add it automatically), you can paste it in to find out whether it's actually helping or just sitting there with errors.

Yes. SEO plugins like Yoast, Rank Math, and AIOSEO add schema markup automatically, but they make assumptions about your content that aren't always accurate. They also tend to add the minimum required properties to qualify for Google rich results, which often falls short of what's useful for AEO. Common issues include missing author details, generic organization data that wasn't configured properly, incorrect content type assignments, and outdated schema formats. A quick validation pass tells you whether your plugin's output is actually working for you.

Speakable schema is a property that marks specific sections of your content as suitable for text-to-speech and AI extraction. It explicitly tells AI systems which parts of your page contain the most concise, direct answers. It's still underused and not yet a major ranking factor, but it's a direct signal to AI engines about which content to extract - and early adoption means you're ahead of the curve when it does become a standard part of how AI engines select sources. The tool flags whether your markup includes speakable properties and where adding them would make sense.

The tool validates JSON-LD, which is the format recommended by Google and used by the vast majority of modern websites and CMS platforms. Microdata and RDFa are older schema formats that still technically work but are rarely used in new implementations. If your site uses microdata or RDFa, the tool won't parse them - but if you're running a modern CMS with a current SEO plugin, your markup is almost certainly JSON-LD already.

The Lite version handles the validation checks that cover the vast majority of structured data issues - syntax errors, schema.org compliance, property completeness, and AEO-specific recommendations. It's designed to be fast and immediately useful without requiring a full site crawl or URL access. A full validator that crawls your live pages, checks rendered markup, and evaluates schema in the context of your entire site structure is a more involved tool. The Lite version gives you a quick, reliable check you can run any time you update your markup.

Validate any time you change your schema markup, update your SEO plugin, switch themes, or migrate your site. Plugin updates are the most common source of unexpected schema changes - a new version can alter the default markup without any visible indication on your end. Beyond those triggers, a quarterly check is reasonable for catching drift. If you're actively optimizing for AEO and making content changes frequently, running your updated markup through the validator before pushing changes live is the safest practice.