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Structured Data Analysis
See exactly what structured data AI search engines find on your pages — and what's missing. Validate your JSON-LD, detect incomplete schema types, and get actionable fixes.
What It Does
Structured data is the language AI search engines use to understand your content with confidence. When you embed JSON-LD schema markup on your pages, you give AI systems explicit, machine-readable signals about what your content is, who created it, and what information it contains.
GEO Lantern's structured data analysis extracts every JSON-LD block from your page, identifies the schema.org types present, and evaluates their completeness. We check for required properties, recommended properties, and high-impact types that are particularly valuable for AI discoverability.
Schema Markup accounts for 20% of your overall AI readiness score — making it one of the most significant categories. Pages with well-implemented structured data are substantially more likely to be cited by AI search engines.
Schema Types
What We Check For
These are the schema.org types most relevant to AI search engine discoverability.
FAQPage
High impactHelps AI engines extract and display your Q&A content directly in answers. One of the most impactful schema types for AI visibility.
Article
High impactIdentifies your content as a publishable article with author, date, and publisher — key signals for AI citation.
Organization
Medium impactEstablishes your brand identity so AI systems can correctly attribute content to your organisation.
Product
High impactProvides pricing, availability, and review data that AI shopping assistants can surface in recommendations.
HowTo
High impactStructures step-by-step instructions that AI engines can present as guided answers to procedural questions.
BreadcrumbList
Medium impactClarifies your site hierarchy so AI systems understand the relationship between your pages.
WebPage
Medium impactProvides basic page-level metadata including name, description, and relationship to your website.
LocalBusiness
High impactCritical for local businesses — provides address, opening hours, and contact details that AI assistants use for local queries.
Step by Step
How It Works
Our structured data analysis runs automatically as part of every scan.
Scan your URL
Enter any URL and GEO Lantern fetches the page, extracting all JSON-LD script blocks for analysis.
Schema types detected
We identify every schema.org type present on your page and catalogue the properties defined for each.
Completeness evaluation
Each detected schema type is evaluated for completeness — we check whether required and recommended properties are present and properly formatted.
Recommendations provided
You receive specific recommendations for missing schema types, incomplete properties, and opportunities to add high-impact structured data.
FAQ
Frequently Asked Questions
What structured data does GEO Lantern check for?
GEO Lantern scans for all JSON-LD structured data embedded in your page. We detect and validate common schema.org types including FAQPage, Article, Organization, Product, HowTo, BreadcrumbList, WebPage, LocalBusiness, Person, and more. We also check for completeness — whether required and recommended properties are present.
Why does structured data matter for AI search?
AI search engines use structured data as a reliable signal to understand your content. Unlike parsing free-form HTML, JSON-LD provides explicit, machine-readable information. When AI systems can confidently identify what your page is about, who published it, and what specific information it contains, they are far more likely to cite it in their responses.
What is the difference between JSON-LD and other structured data formats?
JSON-LD (JavaScript Object Notation for Linked Data) is the format recommended by Google and preferred by AI systems. Unlike Microdata or RDFa, JSON-LD is embedded as a separate script block rather than inline with HTML, making it easier to maintain and less error-prone. GEO Lantern specifically analyses JSON-LD as it is the standard for AI-friendly structured data.
How does GEO Lantern score my structured data?
Schema Markup accounts for 20% of your overall AI readiness score. We evaluate the number of schema types present, their completeness (whether required and recommended properties are filled in), and whether the most impactful types for AI search — such as FAQPage, Article, and HowTo — are implemented.
Can GEO Lantern help me generate structured data?
Yes. GEO Lantern offers a free Schema Generator tool that creates valid JSON-LD for common schema types. You can generate Organization, Article, FAQPage, Product, and other schema types by filling in a simple form — no coding knowledge required.
What are common structured data issues?
The most common issues we detect include: missing JSON-LD entirely, incomplete schema types (e.g., an Organization without a logo or contact details), invalid JSON syntax, using outdated schema types, and missing high-impact types like FAQPage on pages that contain Q&A content.
Ready to See Your Score?
Run a free AI readiness scan and discover exactly how AI search engines perceive your website.