Find out if your JSON-LD and Schema.org markup is helping or hurting your visibility in ChatGPT, Claude, and Perplexity.
Search engines used to be the main consumers of structured data. That has changed. Large language models like ChatGPT, Claude, and Perplexity now parse JSON-LD and Schema.org markup to understand what your business does, what products you sell, and what questions you answer. When a user asks an AI assistant to recommend a product or explain a topic, the model looks for structured signals it can trust. A well-implemented Organization schema tells the model your official name, logo, and description. A FAQPage schema gives it pre-formatted answers it can cite directly. Without these signals, the model has to guess - and it usually guesses wrong or picks a competitor that made the effort. Structured data is no longer just an SEO best practice. It is the bridge between your website and the AI models that are rapidly replacing traditional search.
We scan your homepage for all JSON-LD script blocks and parse each one. You see exactly what structured data the page is sending to AI crawlers and search engines.
We check for the types that matter most for AI visibility: Organization, WebSite, Product, Article, LocalBusiness, and FAQPage. Missing a critical type means LLMs have less context about your site.
Having a schema is not enough if it is incomplete. We flag missing required and recommended properties so you know exactly what to add for each type.
Every issue comes with a concrete fix and an explanation of why it matters for AI visibility. No vague advice - just specific code-level changes you can make right now.
Structured data is machine-readable markup you add to your HTML using formats like JSON-LD to describe your content. AI models like ChatGPT and Claude use it to understand what your site is about, which makes them more likely to cite you in their answers.
At a minimum, every site should have an Organization or WebSite schema. E-commerce sites need Product schemas, blogs need Article, local businesses need LocalBusiness, and sites with Q&A content should implement FAQPage.
When ChatGPT encounters a page with clean JSON-LD, it can extract your business name, description, products, and FAQ answers as structured facts. Without it, the model has to infer all of this from unstructured text, which is less reliable and often inaccurate.
JSON-LD is a JavaScript-based format that lives in a script tag and is the format recommended by Google and preferred by AI crawlers. Microdata and RDFa are inline HTML attributes that are harder to maintain and less commonly parsed by LLMs.
We crawl your homepage, extract every JSON-LD block, parse the Schema.org types and properties, and compare them against the requirements for AI visibility. The result is a scored report with critical issues, improvements, and concrete fixes.
Run a free analysis in 30 seconds. Find out if ChatGPT and Claude can read your Schema.org markup.
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