FAQ Generator
Automatically generate FAQ sections from your prompts and brand facts, with ready-to-use HTML and JSON-LD structured data output.
Overview
The FAQ Generator creates structured question-and-answer content from your existing prompts and brand facts. It produces ready-to-use HTML snippets and FAQPage JSON-LD structured data that you can embed directly on your website.
Well-structured FAQ content helps AI models find and cite accurate information about your brand, improving both AI visibility and traditional search performance.
How It Works
The generator pulls from four data sources to build FAQs:
- Page content (2026-06-12) — supply a page URL and the generator reads it: heading→answer sections become grounded FAQs, and prompt questions the page actually covers get their answers extracted from the page text (highest confidence, 0.9). This is the strongest grounding source — real published content, not templates. A prompt question is only answered from the page when the majority of its content words match the section (a loose match would put unrelated text under the question).
- Prompts — Active prompts phrased as questions ("what", "how", "is", etc.) are converted into FAQ entries. If the supplied page or a brand fact supports the answer, the entry is grounded and high-confidence; if not, you get a low-confidence editable draft rather than an invented answer.
- Brand Facts — Facts about your company (founding year, pricing, headquarters, features) are transformed into natural Q&A pairs. For example, a
founded_year: 2020fact becomes "When was [Brand] founded? [Brand] was founded in 2020." These are always grounded. - Derived FAQs — Common questions like "What is [Brand]?" and "Who should use [Brand]?" — grounded when a
description/target_audiencefact backs them, otherwise an editable draft.
Each FAQ entry includes a confidence score, a grounded flag, and an FAQ type — one of the four query styles AI engines field: informational, comparison, transactional, objection (classified by keyword heuristics). The result reports type coverage: which of the four styles your set answers and which it misses — a set that only answers "what is" questions leaves comparison and objection queries to competitors.
Only grounded (page- or fact-backed) FAQs are saved and reused — including by Edge Delivery's FAQ schema injection. We never publish or serve a templated placeholder answer as if it were verified. To turn drafts into grounded FAQs, supply a page URL that answers them or add the supporting brand facts.
FAQ Sources
| Source | Description | Confidence |
|---|---|---|
| Prompt | Generated from question-format prompts in your project. | 0.6--0.8 |
| Brand Fact | Directly derived from verified brand facts. | 0.85 |
| Derived | Auto-generated common questions. | 0.6--0.7 |
Output Formats
HTML Snippet
The generator produces a semantic HTML section using <details> and <summary> elements:
This HTML is accessible, progressively enhanced (works without JavaScript), and easy to style.
JSON-LD Structured Data
The generator also produces a FAQPage JSON-LD block that conforms to Schema.org specifications:
Paste the JSON-LD into a <script type="application/ld+json"> tag on your page. Search engines and AI models use this structured data to understand your FAQ content.
How to Use
- Navigate to FAQ Generator in the sidebar.
- Review the auto-generated FAQ list. Each entry shows the question, answer, source type, and confidence score.
- Edit answers as needed — the generated answers are starting points that you should refine with accurate, detailed information.
- Copy the HTML snippet to embed an FAQ section on your website.
- Copy the JSON-LD snippet and add it to your page's
<head>for structured data.
Tips for Better FAQs
- Add detailed brand facts in Settings before generating FAQs. More facts produce more accurate and varied Q&A pairs.
- Write question-format prompts in your project. Prompts like "How does [Brand] handle security?" directly become FAQ entries.
- Review and refine generated answers. Replace generic templated responses with specific, authoritative content.
- Limit to 10--15 FAQs per page for best structured data performance.
- Update regularly as your brand facts and prompt library evolve.
Plan Requirements
The FAQ Generator requires the Advanced AI Insights feature, available on Pro-Individual plans and above.