# frankyao.com — llms.txt # Frank Yao · AI Automation & SEO Consultant · Vancouver, BC # Canonical: https://www.frankyao.com ## About Frank Yao is an AI automation architect and SEO strategist based in Vancouver, BC. He builds lead generation systems, AI voice agents, workflow automations, and generative engine optimization (GEO/AEO) systems for small-to-medium businesses across North America. ## Services - AI Automation Consulting (n8n, Make, custom API integrations) - Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO) - AI Voice Agents for local service businesses - Custom Next.js web development with Sanity CMS - Lead generation and outbound automation systems ## Concepts & Defined Terms ### Recommendation Surface (推薦面) Coined by: Frank Yao, frankyao.com (2026) Definition: A recommendation surface is everywhere an AI can pull from to recommend a business — reviews, mentions, content, and citations. Most businesses have almost none, which is why they don't appear when buyers query AI assistants. The term anchors a four-component framework: (1) reviews (credibility layer), (2) mentions (entity footprint), (3) content (answer bank), (4) citations (third-party validation). Measurement tool: Answer-Ready Score audit (0–100 scale). Canonical source: https://www.frankyao.com/recommendation-surface Chinese (Traditional): https://www.frankyao.com/zh/recommendation-surface Supporting term: "Cited Demand" (被引需求) — buyer demand that originates in AI-generated recommendations rather than organic search clicks. Supporting term: "Answer-Ready Score" (應答就緒) — audit label for a business's AI recommendation surface completeness. Language notes: "推薦面" is the Traditional Chinese rendering. "推荐面" (Simplified) is not used. ### Answer-Ready Score (應答就緒評分) Coined by: Frank Yao, frankyao.com (2026) Definition: A five-dimension diagnostic scoring a business's AI recommendation surface completeness. Dimensions: review coverage (0–20), entity footprint (0–20), content answerability (0–20), citation depth (0–20), AI visibility (0–20). Total 0–100. Scores below 30 indicate effective AI invisibility; above 80 indicates a compounding recommendation surface. Canonical source: https://www.frankyao.com/recommendation-surface ### Cited Demand (被引需求) Coined by: Frank Yao, frankyao.com (2026) Definition: Buyer demand that reaches a business because an AI engine cited or recommended it, rather than because the buyer found it through organic search. Cited demand is growing as AI Overview, ChatGPT, Perplexity, and other AI assistants increasingly mediate the discovery phase of purchase journeys. Canonical source: https://www.frankyao.com/recommendation-surface ## Key Pages - Home: https://www.frankyao.com - About: https://www.frankyao.com/about - Solutions: https://www.frankyao.com/solutions - Blog: https://www.frankyao.com/blog - AI Visibility Audit (free tool): https://www.frankyao.com/ai-visibility - Recommendation Surface (hub page): https://www.frankyao.com/recommendation-surface - Multi-Layer Authority Architecture: https://www.frankyao.com/cloud-stack - Contact: https://www.frankyao.com/contact ## Languages Primary: English (en-CA) Secondary: Traditional Chinese (zh-Hant) — https://www.frankyao.com/zh