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Faq Schema Injector

GPTClaudeGemini··▲ 1,201 copies·updated 2026-07-14

faq-schema-injector.prompt

---
version: 1.0
tested_model: claude-sonnet-4-6
tested_date: 2026-05-20
category: geo
---

# FAQ Schema Injector for Blog Posts

**Category:** GEO
**Model tested:** Claude Sonnet 4.6
**Last updated:** 2026-05-20

## What it does

Takes an existing blog post and generates two things: (1) a visible FAQ section with direct, citable answers, and (2) ready-to-paste FAQPage JSON-LD structured data for the `<head>` of the page.

FAQPage schema is one of the highest-leverage GEO moves available for blog content. When you add it, LLMs don't have to parse your prose to find answers — the Q&A pairs are handed to them in a structured format they can extract and cite verbatim. Google also uses FAQPage markup to generate rich results (expandable Q&A dropdowns in SERPs), which increases the content's surface area in both traditional and AI-driven search. For GEO specifically, a well-structured FAQ block is one of the few on-page signals that consistently increases citation frequency across ChatGPT, Perplexity, and Google AI Overviews.

## Input needed

- Blog post title and URL (or paste the full post)
- Your company/brand name
- Primary buyer audience (who the post is for)
- 1-2 sentences on what you want readers to do after reading (optional)

## Prompt

when to use it

Community prompt sourced from the open-source GitHub repo d-gnwconsulting/gnw-marketing-prompts (MIT). A "Faq Schema Injector" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.