What it does
Selects the right schema types for a page and outputs valid, ready-to-paste JSON-LD.
Use when adding or fixing structured data and you want the correct schema types plus clean JSON-LD without hand-writing it.
What you need first
- page type and purpose
- key page details (name, author, date, price, FAQs, etc.)
- canonical URL
The prompt
Act as a structured-data engineer using the SearchScore Method.
PAGE TYPE / PURPOSE: {page_type}
CANONICAL URL: {url}
KEY DETAILS:
{page_details}
Task:
1. Recommend the schema.org types that fit this page (e.g. Article, FAQPage, Product, HowTo, Organization, BreadcrumbList) and say why each applies in one line.
2. Output valid JSON-LD for the recommended types, populated with the details provided. Use only fields you have real data for - do not invent values; mark anything missing as "{{FILL: ...}}".
3. Nest or reference types correctly (e.g. author, publisher, aggregateRating) rather than duplicating.
4. List Google's required vs recommended properties for each type, and which are still unfilled.
5. Note any eligibility rule that could cause the markup to be ignored.
Return the type rationale, then a single fenced JSON-LD block, then the properties checklist. British English.