How BrisTechTonic Builds FAQs For A Page

What the skill does: Pulls People Also Ask + related searches from Google for the topic. Scrapes top-5 SERP competitors' FAQ sections (for questions only). Optionally pulls Reddit/Quora threads for real-user phrasing. Clusters and de-duplicates. Selects 8-15 strongest questions. Writes BTT-voice answers (40-80 words each, direct answer first, UK English, no em dashes). For YMYL topics adds appropriate qualifiers. Outputs DOCX, paste-ready FAQ LD+JSON schema, CSV of sources.

Why it matters: FAQ schema earns rich-result accordions in classic SERP. Voice assistants and AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overview) cite FAQ-style content directly. PAA is Google's own list of 'questions users actually ask' — building from PAA grounds the FAQ in real demand.

What's new: Multi-source without copy-paste duplication. BTT voice + answer length discipline (40-80 words). YMYL qualifier handling baked in. FAQ schema generated alongside.

Use cases: Every new content page. Existing page missing FAQ schema. AI Overview citation prep. Voice-search optimisation.

Constraints: 200-400 words, UK English, no em dashes.