Deep Schema Analyzer — Audit & Generate Schema.org Markup

Detect

every schema type already on the page — valid or broken

Map

the signals AI engines look for: business, products, FAQs, reviews

Generate

ready-to-paste JSON-LD for the gaps — not just a gap list

₹0

per page, as often as you need

Why schema, why now

Schema is how AI decides to cite you

AI search engines don't rank pages the way Google's ten blue links did — they resolve entities. Structured data is how they verify who you are, what you sell, and whether your FAQ answers can be quoted with confidence. A page with clean, complete schema is dramatically easier to cite. Most tools tell you what's missing; this one also writes the markup to fix it.

Sample Output

Detected. Missing. Generated.

A sample result for a retail product page — illustrative data, real structure.

Signal Map Sample

Detected

Organization BreadcrumbList Product (partial)

Missing

Offer + price AggregateRating FAQPage

Generated JSON-LD — Offer ready to paste

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Classic Cotton Kurta",
  "offers": {
    "@type": "Offer",
    "price": "1299",
    "priceCurrency": "INR",
    "availability": "https://schema.org/InStock"
  }
}

How It Works

From URL to ready-to-paste markup

Enter a URL

Any page — home, product, article, FAQ. The analyzer deep-crawls it.

Signals mapped

Existing schema markup plus on-page signals: business info, products, FAQs, breadcrumbs, reviews and more.

Gaps identified

What's present, what's broken, and which schema types the page should carry but doesn't.

JSON-LD generated

AI-written, ready-to-paste Schema.org blocks for each gap — copy, validate, publish.

FAQ

Questions SEO teams ask us

What schema types does it detect?

All JSON-LD, Microdata and RDFa on the page — Organization, LocalBusiness, Product, FAQPage, BreadcrumbList, Review, Article, Person and the rest of the Schema.org vocabulary — plus on-page content that should be marked up but isn't.

Is the generated JSON-LD safe to paste as-is?

It's generated from your page's actual content and follows Schema.org structure. Best practice: review the values, then run it through Google's Rich Results Test or the Schema.org validator before publishing — mislabelled data is worse than missing data.

How is this different from the AEO/GEO Readiness Audit?

Run the AEO/GEO Readiness Audit for your site-wide score across 7 modules. Use Deep Schema Analyzer to fix individual pages — it writes the markup for you. They're designed to be used together.

Why does schema matter for AI search?

AI engines resolve entities before they cite sources. Structured data is the machine-readable version of your credibility — it lets ChatGPT, Perplexity and Gemini verify who you are without guessing from prose.

From the Field Notes

Ideas behind Deep Schema Analyzer

Recent articles from the NDW blog about the problem this tool solves.

Jun 24, 2026

Schema Isn't About Stars in Search Anymore. It's How AI Decides to Trust You.

Structured data used to be about rich snippets. In 2026 it's the signal AI engines use to verify your claims and decide whether to cite you at all.

Read article →

Jun 24, 2026

The Schema You're Missing: A Quick Structured-Data Audit

Most sites have a little schema and assume they're covered. Here are the core types worth auditing — and why partial markup quietly costs you visibility.

Read article →

Contact

Gaps bigger than one page?

We implement structured data programmes site-wide — templates, validation, and the AEO strategy around them. Tell us about your site.