aeo-llm-visibility-auditlisted

# AEO / LLM Visibility Audit Skill Search is moving from ten blue links to one AI answer. This skill measures the new page one: when your buyer asks ChatGPT, Perplexity, or Gemini for the best tool in your category, does your brand get named — and if not, who does, and on which questions. ## When to use - To baseline and track **answer-engine optimisation (AEO/GEO)** — visibility inside AI-generated answers. - To decide which content to write next: the questions where you are invisible are your highest-leverage targets. - To benchmark share of voice against named competitors in AI answers over time. ## When NOT to use - For classic Google SEO rank tracking — that is a different surface; use an SEO tool. - For brand sentiment — this measures presence in answers, not tone. ## Method 1. Take the real questions your buyers type into AI assistants. 2. For each question, across each engine, capture which brands the answer names. 3. Score: **share of voice** = the share of answers that name you; list the competitors named most; flag the questions where you appear in **zero** engines (true content gaps). ## Inputs - `brand` — your brand name - `questions` — the buyer questions to test - `answers` — for each (question, engine), the brands named. In production these come from live API calls to each assistant; the demo ships a sampled set so the logic runs with no keys. ## Output (JSON) `share_of_voice_pct`, `answers_checked`, `mentions`, `top_competitors[]`, and `gap_questio