ai{Found}RE
AI visibility scoring & improvement for real estate agents. Measure how often ChatGPT, Gemini & Perplexity recommend you
ai{Found}RE™ is the AI visibility scoring and improvement system for real estate agents. We measure exactly how often AI assistants — ChatGPT, Gemini, Perplexity, Google AI Overviews, and Claude — recommend an agent when buyers ask the question most agents are ignoring: "Does AI know I exist?"
Founded in 2026 by Nancy Chu and Raf Ricci. Nancy is a #28 RealTrends 1000 agent, KW Top 100 worldwide, and a KW National Trainer with 1,300+ career closings and $500M+ in volume. Raf runs operations at Nancy Chu Homes — an operations specialist who became a Realtor, not the other way around. The methodology was built for their own team first, after their AI-sourced lead share went from 0% to roughly 35% of closings in twelve months. ai{Found}RE exists because it earned the right to.
The product is built on a single proprietary metric: the FoundScore™. Every audit runs 125 prompts across five AI platforms, scores how often the agent is mentioned, weights by platform consumer share, and returns a number from 0 to 50. Most agents start in the single digits. The score moves measurably with focused work — and we have the receipts.
Two ways to engage:
• FoundScore™ 60-Day Tracker ($297) — three audits over 60 days (Day 0, 30, 60) with a personalized 30-day jumpstart action plan written from your real audit data.
• FoundLab™ ($8,997) — the 8-week cohort program. Seven live classes, weekly office hours, two FoundScore audits, the full AI Visibility Handbook, and a small cohort of agents pulling each other up the curve. For teams ready to own AI visibility as a durable competitive moat. Our next cohort starts soon.
Under the hood: Next.js 16 + React 19 + TypeScript on Vercel, OpenRouter routing model calls across Claude / GPT / Gemini / Perplexity, SerpAPI for Google AI Overviews extraction, n8n for workflow orchestration, Notion API for content + client data, Stripe for payments, schema.org JSON-LD for entity grounding, and IndexNow for instant search-index updates. The whole methodology rests on the same Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and EEAT principles we teach our cohort.
Operating from Livingston, New Jersey. Bootstrapped. Founder-aligned. Built to last beyond the AI hype cycle.
ai{Found}RE Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
United States

















