Schema Markup Assistant
Get schema markup recommendations and reasoning for a page, tailored to improve AEO and answer engine visibility.
Website owners and developers who want to add structured data to improve machine-readability and AEO visibility but aren't sure which schema type applies.
Analyze the following page content and suggest the most appropriate schema.org markup type(s) (such as FAQPage, HowTo, Product, LocalBusiness, or Article). For each suggestion, explain why it fits this content and how it can improve visibility in answer engines and AI Overviews. Then generate the corresponding JSON-LD code.
Page content:
{{page_content}}How to use
- Paste your page's actual content (or a close summary of it) into {{page_content}}.
- Review the suggested schema type and reasoning to confirm it matches your content structure.
- Copy the generated JSON-LD code into your page's <head> or via your CMS's schema settings.
- Validate the final markup using Google's Rich Results Test before publishing.
Example input
Analyze the following page content and suggest schema markup. Page content: [A page listing 3 common questions and answers about return policies, followed by a step-by-step return process.]
Example output
Recommended schema: FAQPage for the Q&A section, and HowTo for the step-by-step return process. FAQPage helps this content appear directly in AI Overviews and answer engines as extractable Q&A pairs. HowTo structures the steps so assistants can present them as a numbered guide. JSON-LD:
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [ ... ]
}Customization tips
- — If your page covers multiple content types (e.g. FAQ plus product info), ask for multiple schema blocks combined.
- — Request the output in a specific schema.org version or for a specific CMS plugin format (e.g. Yoast, RankMath) if needed.
- — Ask the model to flag any required schema fields you haven't provided yet.
Tags
FAQ
What is this prompt for?
Do I need to know schema markup already?
What's a limitation of this prompt?
How is this different from just asking 'what schema should I use'?
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