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Schema Markup
Generator

Paste a URL and get real, filled-in JSON-LD schema — FAQPage, Organization, Article, HowTo, and more — generated from your actual page content. Pages with structured data are cited 3.2× more often in AI answers. One click to copy.

Schema priority guide

Which schema to add first,
ranked by AEO impact.

Not all schema types move the needle equally. Research across 50,000 URLs shows FAQPage delivers the highest citation lift per implementation hour — followed by Organization for brand visibility and Article for expertise signals. Here is the full priority stack:

FAQPageHIGH
3.2× citation rate
Highest single-type AEO impact. Add to any page with Q&A content. LLMs extract FAQ blocks directly into answers — often verbatim.
OrganizationHIGH
Brand citation baseline
Tells every engine who you are — name, logo, contact, social profiles. Apply sitewide. Missing this is the most common schema gap for brand visibility.
ArticleHIGH
Author authority signals
Adds author credentials to blog and guide content. Works with byline markup to satisfy Gemini's E-E-A-T requirements for expert citations.
HowToMED
Step content extraction
Strong for instructional content. LLMs extract individual steps and present them as structured answers for "how to" queries.
BreadcrumbListMED
Page hierarchy clarity
Helps models understand which pages are pillar vs spoke content — directly supports topical authority scoring.
ProductMED
Commercial intent queries
Essential for e-commerce. Adds price, availability, and rating signals that AI engines use when answering commercial-intent buying queries.
WebSiteMED
Sitewide search action
Enables sitelinks searchbox in Google and helps ChatGPT Browsing identify your canonical domain structure.
LocalBusinessLOW
Local AI answers
Required for any business with a physical location. Perplexity and Gemini use this for "near me" and location-specific queries.
BlogPostingLOW
Recency signal
Adds datePublished and dateModified so crawlers know how fresh your content is — recency matters for Perplexity which surfaces recent content.
Why it matters

Structured data is how AI engines
understand what your page means.

When a user asks ChatGPT or Perplexity a question, the AI doesn't read your page the way a human does — it extracts structured signals. Schema markup translates your page's content into a machine-readable format that AI engines can parse, classify, and cite with confidence.

A page without schema forces the LLM to guess what the page is, who wrote it, and whether it is authoritative. A page with FAQPage + Organization + Article schema explicitly answers all three questions — and the data shows this difference is significant. Pages with at least one schema type are cited at 2.4× the rate of unstructured equivalents. Pages with FAQPage specifically: 3.2×.

Schema is also the fastest technical AEO fix available. Adding a single FAQPage block to a page takes under 30 minutes. The citation impact can appear within days on Perplexity (which crawls in near real-time) and within weeks on Google AI Overviews.

Schema impact — research findings
94%
of AI-cited pages have at least one schema type
3.2×
higher citation rate for pages with FAQPage schema
2.4×
higher citation rate with any structured data vs none
#1
technical AEO fix ranked by citation impact per hour spent
Implementation guide

How to add JSON-LD schema
to any site or CMS.

JSON-LD is the Google-recommended format for structured data — a script tag you add to your page's head. It doesn't affect your visible content or design. Here's how to deploy it across the most common platforms:

Next.js / React
<script
  type="application/ld+json"
  dangerouslySetInnerHTML={{
    __html: JSON.stringify(schemaObject)
  }}
/>
WordPress
// functions.php
add_action('wp_head', function() {
  echo '<script type="application/ld+json">';
  echo json_encode($schema);
  echo '</script>';
});
Webflow
// Site Settings → Custom Code → Head code
<script type="application/ld+json">
  { paste JSON-LD here }
</script>
Shopify
// theme.liquid inside <head>
{% assign schema = ... %}
<script type="application/ld+json">
  {{ schema }}
</script>

After adding schema, validate it with Google's Rich Results Test, then check your updated AEO score after 1–2 weeks to see the citation impact. Use the llms.txt Validator to confirm AI crawlers can access your pages.

Schema vs llms.txt

Two complementary signals.
Use both together.

JSON-LD Schema

Tells AI engines what each piece of content means. Structured data labels your Q&As as FAQs, your authors as experts, your pages as products or articles. This is per-page signal — you add it to individual pages where it applies.

Research on schema + citations →
llms.txt

Tells AI engines what your entire site covers. A single file at your domain root that describes your categories, key pages, and how to cite you. This is sitewide signal — one file covers all pages.

Generate your llms.txt free →
Complete your AEO setup

Schema is step one.
These tools cover the rest.

llms.txt Generator
Build the AI-readable index file
E-E-A-T Checker
Score your authority signals
BLUF Builder
Write citation-ready openings
AI Visibility Checker
See your full AEO score
llms.txt Validator
Validate AI crawler access
Readability Checker
Score content structure
FAQ

Common questions.

Which schema type improves AI citations most?▾
Does the generated schema use my actual page content?▾
Where do I add the schema to my page?▾
Do I need all schema types or just one?▾
Does Google still use schema markup in 2026?▾
How long does it take to see results after adding schema?▾