faq-page-generator
When the user wants to create, optimize, or audit FAQ page content. Also use when the user mentions "FAQ page," "frequently asked questions," "help page," "Q&A page," "FAQ schema," "FAQ section," "common questions," "FAQ SEO," "accordion FAQ," "People Also Ask," "PAA," "People Also Search For," "PASF," or "FAQ rich results." For FAQ structured data markup, use schema-markup. For AI search visibility strategy, use generative-engine-optimization.
What this skill does
# Pages: FAQ
Guides FAQ page content, structure, and optimization for SEO, conversion, and rich results (PAA, Featured Snippet, GEO, PASF). FAQ content from real user questions and rich-result targeting.
**When invoking**: On **first use**, if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On **subsequent use** or when the user asks to skip, go directly to the main output.
## FAQ and Rich Results
| Feature | Relationship | Optimization |
|---------|--------------|---------------|
| **People Also Ask (PAA)** | FAQ schema triggers PAA-style dropdowns; PAA questions = FAQ source | FAQPage schema; match question phrasing; "how/what/why" format. PAA ~51% of searches. See **serp-features** |
| **Featured Snippet** | Answers extracted for position zero | 40-60 words; answer-first; H2/H3; paragraph (70%), list (19%), table (6%). See **featured-snippet** |
| **GEO / AI Overviews** | AI cites FAQ blocks; FAQ most cited content type (3-7x more citations) | Self-contained; 40-80 words; entity signals; content in initial HTML. See **geo** |
| **People Also Search For (PASF)** | Appears when user bounces; comprehensive FAQ reduces bounce | Match intent; cover related questions. PASF shows 6-8 related queries. |
| **FAQ rich result** | FAQPage schema; max 2 dropdowns per SERP | Restricted to government/health in many regions; schema still helps PAA, voice, AI |
**PAA vs PASF**: PAA = expandable question boxes (same SERP). PASF = related queries after bounce. Both benefit from comprehensive, intent-matching content.
## Content Sources
**Real user**: Support tickets, chat logs, sales objections, surveys, reviews.
**Rich-result purpose**: PAA (search keyword, extract questions), AnswerThePublic, AlsoAsked, Featured Snippet queries, competitor FAQ, keyword research, GEO citation data.
**Reverse flow**: Use PAA, Featured Snippet, GSC Search queries to find questions you rank for but don't answer.
## Content Structure
| Approach | When | Example |
|----------|------|---------|
| **Page topic** | In-page section | 3-8 questions about that page |
| **Theme** | Dedicated page | Group by Billing, Features, Support, Compliance |
| **Logical flow** | Decision funnel | Awareness -> Consideration -> Purchase -> Support |
| **Objection handling** | Conversion | "Is it worth it?" "Can I cancel?" |
**Page-specific**: LP (objection handling); pricing (billing, plans, enterprise); alternatives (migration, comparison); category (materials, recommendations); tools (what is X, how calculated). See **landing-page-generator**, **pricing-page-generator**, **alternatives-page-generator**, **category-pages**, **tools-page-generator**.
## Dedicated FAQ Page vs In-Page FAQ Section
| Dimension | Dedicated Page | In-Page Section |
|-----------|----------------|-----------------|
| **Placement** | /faq, /help, standalone URL | Within LP, pricing, blog, product page |
| **Count** | 5-30 (5-10 optimal) | 3-8 |
| **Structure** | Categories, TOC, navigation | Inline; after main content |
| **Schema** | One FAQPage per page | Same; schema matches visible Q&A |
| **When to use** | Many questions; support/help hub; central FAQ | Objection handling; page-specific long-tail; conversion |
| **Related pages** | contact-page, docs-page, website-structure | landing-page, pricing-page, blog, alternatives, category-pages, tools-page |
**Shared rules**: Word count, content rules, format, and schema apply to both. Choose placement based on question volume and page purpose.
## Accordion: Crawlable?
**Yes.** Google indexes accordion content fully; hidden content receives full weight.
**Requirements**: Content in DOM at load (no AJAX on click); use `<details>`/`<summary>` or server-rendered HTML; first item expanded. Avoid `display: none` for primary content. See **tab-accordion**, **rendering-strategies**.
**Nuance**: Some tests suggest visible content outperforms hidden. Use accordion for secondary FAQ; keep primary Q&A visible.
## Best Practices
### Word Count
| Element | Range | Notes |
|---------|-------|------|
| **Answer** | 40-80 words | Sweet spot for AI; under 40 = incomplete; over 80 = cut off |
| **Featured Snippet** | 40-60 words | 45 words most common |
| **First sentence** | 40-50 words | Answer immediately |
| **Sentences** | 2-4 | Standalone, comprehensive |
### Content Rules
- **Genuine questions**: PAA, AnswerThePublic, support; no invented marketing questions
- **Standalone answers**: Each answer makes sense alone; AI extracts individual pairs
- **Content parity**: Schema must exactly match visible content; hidden schema = violation
- **No duplicates**: Each Q&A on one page; choose most authoritative
- **Topical focus**: FAQs match page topic
- **Inverted pyramid**: Most important first; data, numbers, actionable advice
- **Keywords**: 1-2 times naturally; no stuffing
- **Quality over quantity**: 5-10 excellent beat 50 thin
- **Update quarterly**: Add questions from emerging trends
### Format
- **Schema**: JSON-LD; one FAQPage per page
- **Answer HTML** (in schema `text`): `<a>`, `<strong>`, `<em>`, `<p>`, `<br>`, `<ol>`; use sparingly
- **Structure**: H2/H3 per question; semantic HTML; answer-first under heading
- **Validation**: Google Rich Results Test, Schema.org Validator, GSC
### Number of Questions
| Placement | Count | Notes |
|-----------|-------|------|
| **In-page section** | 3-8 | Directly related to page |
| **Dedicated page** | 5-10 optimal | 10-30 if well-crafted; quality over quantity |
| **Schema minimum** | 2+ | Single Q&A rarely shown |
| **Google display** | Max 2 per result | See **serp-features** |
### Question and Answer
**Question**: Match how users ask ("How do I return?" not "Return Policy"); target "how/what/why"; H2/H3; avoid promotional or invented.
**Answer**: Answer-first in 40-60 words; paragraph, list, or table by content type; scannable (bullets, bold); self-contained; entity signals. See **entity-seo**.
### Organization
Group by topic; clear hierarchy; TOC, accordions, jump links; audit quarterly.
## Initial Assessment
**Check project context** (`.cursor/project-context.md` or `.claude/project-context.md`) for objections, product details, customer language.
Identify: (1) Source of questions (2) Conversion focus (3) Placement (dedicated vs in-page).
## Why It Matters
- Reduces support load
- Long-tail and voice search
- Category pages: +157% conversion when FAQ used
- 20-30% CTR lift when rich results display
- 3-7x more AI citations with optimized FAQ
## Output Format
- Question list (from research)
- Category structure
- Answer format and tone
- Schema (FAQPage)
- SEO metadata
## Related Skills
- **howto-section-generator**: Step-by-step HowTo sections; not FAQ—use HowTo schema, not FAQPage
- **tab-accordion**: Accordion implementation; details/summary
- **serp-features**: PAA, Featured Snippet, PASF, FAQ limits
- **featured-snippet**: Answer length, position zero
- **geo**: GEO strategy; citable blocks; AI crawlers
- **schema-markup**: FAQPage implementation
- **keyword-research**: PAA to FAQ; question keywords
- **landing-page-generator**, **pricing-page-generator**, **alternatives-page-generator**, **category-pages**, **tools-page-generator**: In-page FAQ section
- **contact-page-generator**, **docs-page-generator**, **website-structure**: Dedicated FAQ page; FAQ reduces contact form volume
- **title-tag, meta-description, page-metadata**: Metadata
- **entity-seo**: Entity signals for GEO
- **rendering-strategies**: Content in initial HTML
Related in Ads & Marketing
ads
IncludedMulti-platform paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Ads. 250+ checks with scoring, parallel agents, industry templates, and AI creative generation.
banana
IncludedAI image generation Creative Director powered by Google Gemini Nano Banana models. Use this skill for ANY request involving image creation, editing, visual asset production, or creative direction. Triggers on: generate an image, create a photo, edit this picture, design a logo, make a banner, visual for my anything, and all /banana commands. Handles text-to-image, image editing, multi-turn creative sessions, batch workflows, and brand presets.
rpg-migration-analyzer
IncludedAnalyzes legacy RPG (Report Program Generator) programs from AS/400 and IBM i systems for migration to modern Java applications. Extracts business logic from RPG III/IV/ILE source code, identifies data structures (D-specs), file operations (F-specs), program dependencies (CALLB/CALLP), and converts RPG constructs to Java equivalents. Generates migration reports, complexity estimates, and Java implementation strategies with POJO classes, JPA entities, and service methods. Use when modernizing AS/400 or IBM i legacy systems, analyzing RPG source files (.rpg, .rpgle, .RPGLE), converting RPG to Java, mapping data specifications to Java classes, planning legacy system migration, or when user mentions RPG analysis, Report Program Generator, RPG III/IV/ILE, AS/400 modernization, IBM i migration, packed decimal conversion, or mainframe application rewrite.
brand-library-architect
IncludedBuild a complete brand library for a product — visual asset render pipeline, brand documentation set (BRAND, COPY, MANIFESTO, BIOS, FAQ, GLOSSARY, TONE, PRICING), open-source convention files (README, CONTRIBUTING, SECURITY, CODE_OF_CONDUCT), and a self-contained press kit. This skill should be used when the user asks to "build a brand library / brand kit / press kit / brand assets" for a product, "set up a brand library workflow," "create a positioning manifesto plus visual identity," or any combination of brand documentation + visual asset pipeline. Apply phase-by-phase or run end-to-end. Templates are product-agnostic and use {{TOKEN}} placeholders the skill prompts the user to fill.
writing-tech-post
IncludedAuthors engineering blog posts end-to-end: launch deep-dives, incident postmortems, architecture migrations, performance case studies, tutorials, AI/agent system writeups, security disclosures, and research-to-product translations. Picks the correct archetype, plans the abstraction ladder, enforces an evidence cadence (diagrams, benchmarks, profiles, traces, code, ablations), tunes voice against publisher house styles (Datadog, Vercel, GitHub, AWS, Meta, Cloudflare, Jane Street), and runs a pre-publish gate for narrative momentum and disclosure ethics. Use when drafting a new engineering post, restructuring a draft that feels flat, deciding which evidence form belongs where, validating that depth and product context are balanced, or preparing a postmortem, migration, or performance narrative for external publication. Do not use for API reference documentation, README authoring, marketing copy, release notes, generic SEO content, ghost-written executive thought leadership, or non-engineering long-form essays.
blog-google
IncludedGoogle API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity analysis for E-E-A-T, YouTube video search for embedding, and Google Ads Keyword Planner. Progressive feature availability based on credential tier (API key, OAuth/service account, GA4, Ads). Shares config with claude-seo at ~/.config/claude-seo/google-api.json. Use when user says "google data", "page speed", "core web vitals", "search console", "indexation", "GA4", "keyword research", "nlp entities", "blog performance", "youtube search", "google api setup".