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FAQPage JSON-LD builder

FAQSchema Generator

Paste your Q&As and we'll generate valid FAQPage JSON-LD schema - the structured data AI Overviews, ChatGPT and Perplexity demonstrably parse to pull answers into their responses.

Configuration● live

Each Q&A becomes one mainEntity Question/Answer pair.

#1
#2
#3
JSON-LD output
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is GEO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Generative Engine Optimization (GEO) is the discipline of getting your brand cited inside AI assistant answers like ChatGPT, Claude, Gemini and Perplexity."
      }
    },
    {
      "@type": "Question",
      "name": "How is GEO different from SEO?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "SEO optimizes for blue-link ranking on Google. GEO optimizes for being named, quoted and linked to inside generative answers. The signals overlap but aren't identical - GEO leans heavily on entity strength and citation patterns."
      }
    },
    {
      "@type": "Question",
      "name": "How long does GEO take to work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Most Geolify clients see citation lift in 30-60 days and compounding ROI by months 4-9 as the entity layer matures."
      }
    }
  ]
}
</script>

How to use it

Enter one question and one accepted answer per row. The tool generates a valid FAQPage JSON-LD block you can drop into your page head. Rules of thumb: ask the question in the exact form your buyers would type it, answer in 40-80 words, and make sure every question in the schema is visible on the rendered page (schema-page mismatch gets filtered by Google's structured-data quality checks).

Why FAQ schema is GEO gold

FAQPage schema is the single highest-ROI structured data type for AI search. Google AI Overviews, Perplexity and ChatGPT Search all parse it. When the assistant picks an answer for their answer card, they disproportionately reach for FAQ-marked content because the question-answer pairs are pre-chunked - zero re-parsing, zero extraction risk. Our FAQ content for AI Overviews guide covers the full pattern.

Once you've generated it

  • Paste the <script> tag into your page <head> (or via your CMS's head-inject field).
  • Validate with the structured data validator to confirm parse success.
  • Make sure the rendered page has the same questions as H2s or H3s so the schema matches visible content - Google filters mismatches hard.
  • Pair with Article schema on blog/editorial content for full coverage.

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Structured Data Validator

Paste any JSON-LD block and we'll validate the syntax, required fields, and flag the most common mistakes that nuke AI parsing.

From the Knowledge Hub

Tutorials

Schema Markup for AI Search

Not all schema is read equally. The exact JSON-LD types - Article, FAQ, HowTo, Organization, Product - that ChatGPT, Claude and Perplexity demonstrably consume, plus copy-paste templates and the gotchas that nuke parsing.

Tutorials

FAQ Content for AI Overviews

Google AI Overviews lean heavily on Q&A blocks for answer synthesis. The exact FAQ format - structure, schema, length, phrasing - that gets pulled into AIO answer boxes, with a copy-paste template.

Want this done for you?

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