Analyze any website's schema markup, discover missing structured data, detect validation issues, and uncover opportunities to improve rich results and AI search visibility.
We’re analyzing your site pages and schema setup. This may take a few minutes, and the scan will continue even if you leave this page.
Website Coverage
Schema Coverage Score
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Schema Opportunity
Core schema missing
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Google Rich Snippets
Not showing
on any scanned page
LLM Text File
Not Found
AI crawlers lack guidance
AI Citation Readiness
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Based on real signals
Save your AI visibility reports and continue monitoring your website.
Follow this path to deploy schema and start capturing rich results.
Confirm required values and preview generated markup.
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Publish changes and monitor rich results in your dashboard.
Stop leaving revenue on the table. Turn plain search listings into higher-converting experiences with schema markup.
Higher organic CTR
Better conversion rate
Higher revenue per visitor
Coverage status across all scanned pages.
How likely each AI engine is to cite your site, based on public signals
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Overall AI Citation Readiness
llms.txt is a plain-text file placed at the root of your domain that helps AI language models understand and cite your content accurately. Similar to robots.txt, it provides structured guidance to AI crawlers and LLM training pipelines about your most important pages, brand identity, and preferred summary text.
Major AI platforms including ChatGPT's web browsing mode, Perplexity, and Bing Copilot are beginning to respect this convention. Early adopters gain a citation advantage as AI-driven search continues to grow.
When an LLM crawls your domain before generating an answer, it looks for an authoritative summary of your site. An llms.txt file surfaces that summary directly, improving the accuracy and frequency of mentions in AI-generated responses — a ranking signal for the era of answer engines.
Why This Matters
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Google Rich Result Preview
Example JSON-LD
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How JSONSchemaApp Tracks AI Search Visibility
When AI models like ChatGPT, Claude, and Perplexity search the web, they look for content that matches specific keywords and topics. JSONSchemaApp analyzes your website to identify which keywords will help AI engines discover and reference your content in their responses.
By tracking these keywords, you can optimize your content to appear in AI-generated answers, driving qualified traffic from users who trust AI recommendations.
Why This Keyword Matters
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Scanning thousands of pages takes time because we fetch each page, parse its HTML, extract JSON-LD blocks, classify schema coverage, and analyze keyword opportunities.
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Schema breakdown for this page
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