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.

By Mandeep Singh ·
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@type
s, 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.
See Issues Before You Ship

The EaseFy Insights checker highlights missing properties, duplicate
@context
, and inaccessible assets—so you can fix confidently.
Supported Types & Key Fields
- Article: headline, image (≥1200px wide), datePublished, author, publisher.
- FAQPage: mainEntity with Question → acceptedAnswer 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
- Paste JSON-LD into EaseFy Insights — Schema Tester and validate types in scope.
- Fix missing properties, add
@id
, consolidate contexts, and meet media requirements. - Preview rich results and confirm assets are crawlable and accessible.
- Publish, request indexing, and track Enhancements & AI citations over time.
Preview Rich Results & AI Snippets
Valid, complete JSON-LD helps your pages qualify for rich results and makes them easier for AI Overviews to cite. After you add markup, use your Schema Tester to preview how Google might render the result and how AI systems could summarize and attribute your content.
What to include in your markup:
- Article —
headline
,description
,image
(≥1200px),author
,datePublished
,dateModified
,mainEntityOfPage
. - FAQPage — pairs of
Question
/acceptedAnswer
(concise, non-duplicative). - BreadcrumbList — ordered
ListItem
withposition
,name
,item
. - Organization/WebSite — logo, site name, and optional
SearchAction
. - Optional types —
VideoObject
,HowTo
, orProduct
when relevant.
Pass these checks before you ship:
@context
ishttps://schema.org
and URLs are absolute & accessible (no 404s).- Only one primary
mainEntityOfPage
per page; dates are ISO-8601. - Images meet size/aspect guidelines; alt text matches visible content.
- No duplicate types with conflicting values; canonical URL points to this page.
When the preview looks right, publish and monitor impressions, CTR, and AI citations to confirm that your structured data is boosting visibility.
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 @id
s 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.