Schema Tester: The Key to Winning in AI-Powered Search

Implement Article/FAQ/VideoObject correctly, pass validation, preview rich results, and monitor AI visibility. EaseFy Insights makes JSON-LD clear, connected, and crawlable.

Schema Tester infographic: validate JSON-LD, detect errors, preview rich results, then publish & monitor AI visibility.
Validation → Fix → Preview → Publish & Monitor workflow.

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Definition: Schema markup (JSON-LD) describes your content so search engines and AI systems can understand and enhance it.
Do this: validate in EaseFy Insights, fix required/recommended fields, preview rich results, then publish and track Enhancements & AI citations.

What the Schema Tester Checks

  • Structure: single @context, valid @types, stable @id anchors.
  • Requirements: required + recommended fields for Article, FAQPage, VideoObject, WebPage.
  • Media readiness: image dimensions, video thumbnails, alt text, crawlability.
  • Entity linking: ties to Organization, WebSite, and publisher to strengthen Knowledge Graph.

Why It Matters for SEO & AEO

  • Rich results: eligibility for carousels, FAQs, and video features boosts CTR.
  • AI overviews: connected entities can increase citation odds in SGE/Gemini summaries.
  • Voice answers: structured content is easier for assistants to parse and speak.
Fill “recommended” fields too—many enhancements depend on them.

Supported Types & Key Fields

  • Article: headline, image (≥1200px wide), datePublished, author, publisher.
  • FAQPage: mainEntity with QuestionacceptedAnswer pairs that appear on the page.
  • VideoObject: name, description, thumbnailUrl, uploadDate, contentUrl or embedUrl.
  • Organization & WebSite: brand identity, logo, and site search action for better entity understanding.

Common Errors—and How EaseFy Fixes Them

  • ❌ Missing @context or mixed contexts → ✅ enforce a single @context":"https://schema.org".
  • ❌ No stable @id anchors → ✅ generate fragment IDs for cross-linking (e.g., #article, #webpage).
  • ❌ Undersized images → ✅ prompts for 1200×630+ hero with correct aspect ratio.
  • ❌ FAQ not on page → ✅ warns when questions/answers aren’t visible to users.

4-Step Validation Playbook

  1. Paste JSON-LD into EaseFy Insights — Schema Tester and validate types in scope.
  2. Fix missing properties, add @id, consolidate contexts, and meet media requirements.
  3. Preview rich results and confirm assets are crawlable and accessible.
  4. Publish, request indexing, and track Enhancements & AI citations over time.

What to Track After Publishing

  • Enhancement coverage: errors/warnings per type in Search Console.
  • CTR & impressions from rich results: compare pre/post changes.
  • AI visibility: branded/unbranded citations in AI overviews (where surfaced).

FAQs

Is one big graph better than multiple snippets?

Yes. One cohesive @graph with stable @ids is easier to maintain and less error-prone.

Can I mix JSON-LD with Microdata?

You can, but avoid duplicate types/properties. Prefer JSON-LD for clarity and portability.

Do FAQs still help?

FAQs help when they genuinely answer questions present on the page, are unique, and not spammy.

What image sizes are safe?

Use large, high-quality images (e.g., 1200×630+) with proper aspect ratios to qualify for rich previews.

Ship Clean Markup with EaseFy Insights

With a reliable validator and a tight playbook, your JSON-LD becomes a growth lever—more eligibility, cleaner entities, and stronger AI visibility. Open the Schema Tester in EaseFy Insights and turn validation into a repeatable advantage.

Try Schema Tester