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    SwiftSchema
    Free schema markup tool

    AI Schema Readiness Checker

    Run a fast structured data check before the Rich Results Test. See whether your page has AI-ready JSON-LD, clear entity types, canonical metadata, and social context.

    JSON-LDDetect schema scripts
    EntitiesClarify page meaning
    MetadataReview search context

    Live URL audit

    Check a page in seconds

    Fetches public HTML, detects JSON-LD, reviews metadata, and returns a practical readiness score.

    Before you run it

    What this readiness score actually means

    Results will replace this explainer after you submit a URL.

    What it checks

    Structured data and JSON-LD coverage

    The checker fetches your public HTML, looks for JSON-LD scripts, identifies schema types, and flags pages that do not give Google, rich results tools, or AI answer engines enough structured context.

    Why it matters

    Rich results and AI search visibility

    Keyword research shows real demand around rich results test, schema checker, schema markup validator, and generative engine optimization. This page bridges those jobs: validate the basics, then move into better schema markup.

    What happens next

    A practical fix list instead of raw validator noise

    After the audit runs, this guide is replaced by a readiness score, check-by-check findings, and direct links to the right SwiftSchema generator or formatter for the next fix.

    Structured data

    Detects JSON-LD, schema types, and whether your markup gives crawlers enough entity context.

    Search metadata

    Checks title, description, canonical, Open Graph, and other basic page signals before validation.

    Next-step guidance

    Turns the audit into clear fixes and links back to the right SwiftSchema generators or tools.

    Keyword-backed content angle

    Built for the searches people actually use

    Keywords Everywhere data points this page toward practical validator intent: people search for rich results tests, schema checkers, structured data testing tools, and newer AI search optimization workflows. That is why the checker explains both traditional rich-result readiness and the entity clarity signals useful for AI answer engines.

    rich results test

    5.4K/mo US search volume

    generative engine optimization

    4.4K/mo US search volume

    schema checker

    2.9K/mo US search volume

    schema markup validator

    2.4K/mo US search volume