Does schema markup help my brand appear in AI answers?

It helps. Structured data gives AI models explicit signals about your entities, authors, products, and content. That clarity makes it easier for engines like ChatGPT, Perplexity, and Gemini to understand, trust, and cite your pages.

Is the schema analyzer free?

Yes. The schema analyzer is free to run. Enter a URL, we fetch and validate the structured data, and you get a full report with prioritized recommendations.

Which schema types matter most for AI search?

It depends on your content, but Organization, Article, Product, FAQPage, BreadcrumbList, and Person are common high value types. The analyzer shows which ones you have and which are worth adding.

Will the analyzer change my page or markup?

No. The analyzer is read only. It inspects and validates your existing markup and tells you what to improve, but it never edits or publishes anything on your site.

Do I need schema if I already rank in Google?

Yes. Ranking in Google and being cited by AI engines are related but not the same. Clean structured data helps both, and it gives generative engines the entity level clarity they rely on to quote you confidently.

What is the difference between this and Google's Rich Results test?

Both validate structured data, but the focus differs: Google's test targets search rich results, while our analyzer frames your schema around AI search visibility and what generative engines need to cite you.

Schema & Structured Data Analyzer by

Validate your JSON-LD markup and discover which schema types help AI models cite your content

Structured data tells AI models exactly what your page is about, who wrote it, and why it should be trusted. This free analyzer validates your schema and flags the gaps that cost you citations.

JSON-LD detection & parsing

Property validation

Actionable recommendations

Schema quality score

100% Free Results in seconds

Why Analyze Structured Data?

AI models like ChatGPT, Perplexity, and Gemini use structured data to understand your content. JSON-LD schema markup helps these models identify entities, relationships, and key facts on your pages, making your content more likely to be cited in AI-generated answers.

Check Your Page

Structured data tells AI what your page actually means

Schema markup is the machine readable layer that turns plain text into facts an AI model can trust. When ChatGPT, Perplexity, or Google AI Overviews decide which sources to cite, structured data helps them understand who you are, what you offer, and why your page answers the question, far faster than parsing prose alone.

This free analyzer reads every JSON-LD, Microdata, and RDFa block on your page, validates it against Schema.org, and flags the gaps that keep AI engines from confidently representing your brand. Clean, complete structured data is one of the most effective moves in generative engine optimisation. Pair it with the free AI content readiness checker to validate the words around your markup, and monitor both continuously with GEO optimization in LLM Pulse.

How the Schema Analyzer works

Crawl your page

We fetch the URL and extract every structured data block, whether it is JSON-LD, Microdata, or RDFa.

Validate the markup

We check each entity against Schema.org standards and surface errors, warnings, and missing recommended properties.

Score for AI

We grade how well your markup describes your content to answer engines and show you what to add next.

What the schema report covers

A complete inventory of the structured data on your page and how well it positions you for AI citations.

Detected schema types

Every entity found on the page, from Organization and Product to FAQ, Article, and Breadcrumb.

Validation errors

Broken syntax, invalid values, and properties that stop search and AI engines from parsing your markup.

Missing opportunities

High value schema types your page should declare but does not, based on its content and purpose.

AI readiness

How clearly your markup communicates the entities, relationships, and facts that LLMs rely on when choosing sources.

How it works

How the schema analyzer works

Three steps from a single URL to a clear view of the structured data AI engines can read on your page.

Enter a page URL

Paste the URL you want to analyze and submit. We fetch the live page and extract every block of structured data it contains.

We validate your schema

We parse your JSON-LD, microdata, and other markup, check it against schema.org types, and flag missing, invalid, or incomplete entries.

Get prioritized fixes

You receive a clear report of the schema types you have, the ones you are missing, and the changes that make your content easier for AI engines to understand and cite.

Frequently Asked Questions

How does this tool work?

We fetch your page and analyze all JSON-LD structured data blocks. We validate schema types, check for required and recommended properties, detect GEO-critical types, and identify entity signals like Speakable markup and sameAs links.

How long does the analysis take?

The analysis usually takes 10-20 seconds. We fetch your page and parse all structured data in the HTML.

Why does structured data matter for AI visibility?

Structured data helps AI models understand your content's meaning, entities, and relationships. Pages with rich JSON-LD markup are more likely to be cited by ChatGPT, Perplexity, and other AI search engines.

Schema analyzer FAQ

Common questions about structured data and AI search visibility.

: It helps. Structured data gives AI models explicit signals about your entities, authors, products, and content. That clarity makes it easier for engines like ChatGPT, Perplexity, and Gemini to understand, trust, and cite your pages.
: Yes. The schema analyzer is free to run. Enter a URL, we fetch and validate the structured data, and you get a full report with prioritized recommendations.
: It depends on your content, but Organization, Article, Product, FAQPage, BreadcrumbList, and Person are common high value types. The analyzer shows which ones you have and which are worth adding.
: No. The analyzer is read only. It inspects and validates your existing markup and tells you what to improve, but it never edits or publishes anything on your site.
: Yes. Ranking in Google and being cited by AI engines are related but not the same. Clean structured data helps both, and it gives generative engines the entity level clarity they rely on to quote you confidently.
: Both validate structured data, but the focus differs: Google's test targets search rich results, while our analyzer frames your schema around AI search visibility and what generative engines need to cite you.

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Clean schema, more citations

Valid structured data helps AI engines trust your pages. LLM Pulse shows you where your brand appears across ChatGPT, Perplexity, Gemini, and Google AI, and how to win more citations. Start your 14-day free trial.

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