Build complete JSON-LD bundles optimized for AI search. Generates Article + Person + Organization + Speakable + FAQ in one @graph block, with all the @id cross-references AI engines need to extract entity relationships.
Bundle: Article + Person + Organization + Speakable + FAQ
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Article",
"@id": "https://example.com#article",
"headline": "Article headline",
"url": "https://example.com",
"datePublished": "2026-08-16T00:00:00.000Z",
"dateModified": "2026-08-16T00:00:00.000Z",
"mainEntityOfPage": {
"@id": "https://example.com#webpage"
},
"inLanguage": "en"
},
{
"@type": "WebPage",
"@id": "https://example.com#webpage",
"url": "https://example.com",
"speakable": {
"@type": "SpeakableSpecification",
"cssSelector": [
"h1",
".summary",
".lead",
"[data-speakable]"
]
}
}
]
}
</script>Most schema generators output one entity at a time: Article alone, or Product alone. AI engines like ChatGPT and Perplexity extract better when entities are linked via @graph with cross-referenced @id properties.
This generator produces a single <script> tag with multiple types bundled: the main entity (Article/Product/etc.), Person (author), Organization (publisher), FAQPage, and a WebPage with Speakable specification.
The result: AI engines understand who wrote it, who published it, what the page is about, what is quotable, and what relationships exist between entities. All in one paste-ready snippet.
GrandRanker adds proper JSON-LD, internal linking, and citation-ready structure to every article it publishes. Built for the AI search era.
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Everything to know about Schema for AI.
Standard schema generators output one type at a time. Schema for AI bundles multiple types (Article + Person + Organization + FAQPage + WebPage with Speakable) into a single @graph block with proper @id cross-references. AI engines extract relationships better when entities are linked, not isolated.
Speakable specification tells AI assistants and voice search engines (Google Assistant, Alexa, Siri) which parts of a page are appropriate to read aloud. AI search engines use the same signal to identify the most quotable parts of a page for citations.
Inside the <head> section of your HTML page. The output is a complete <script type="application/ld+json"> block — copy it and paste it into your page template, layout file, or theme. WordPress users can use a plugin like Yoast or Rank Math, or paste into the theme header.php.
Yes. The schema is fully spec-compliant and tested against Google Rich Results requirements. After deploying, run your URL through Google Rich Results Test to confirm.
Three ways: (1) @graph structure with @id references gives AI engines clear entity relationships. (2) Speakable specification flags quotable content. (3) Bundled Person + Organization schemas establish authority and E-E-A-T signals that AI models weight heavily for citation decisions.
Yes. AI engines look for entity identity. Even for a one-person blog, Organization schema with name + URL + logo establishes a citable entity. If you do not have a logo, leave that field empty and we will skip it.