Your FoundScore is a 0–50 score of how often AI recommends you when a buyer asks who to hire. ai{Found}RE™ measures it with 125 real buyer prompts across five AI engines — then hands you the roadmap to move it.
A FoundScore audit is a 0–50 score of how often AI recommends you as a real estate agent. We ask five AI engines — ChatGPT, Gemini, Google AI Overviews, Perplexity, and Claude — the questions your buyers are already asking, using 125 real buyer prompts. Then we score how often you're named, where you rank in the answer, and how you're described.
The result is a single number you can track. A high FoundScore means AI names you by default when a buyer asks for an agent in your market. A low one means AI is sending those buyers to someone else — and the audit shows you exactly which engines, which questions, and which gaps to fix first.
You get three audits in 60 days. Day 0 is your first audit plus a 30-day jumpstart written from your real data. Day 30 re-runs the same 125 prompts and hands you a delta report showing exactly what moved. Day 60 is your final audit and a lock-in plan — so you see your FoundScore move, not just where you started.
Want the full breakdown of how AI decides which agent to name? See how it works →
Five engines, weighted by how buyers actually use them: ChatGPT (30%), Gemini (25%), Google AI Overviews (20%), Perplexity (15%), and Claude (10%). A buyer who asks ChatGPT and a buyer who asks Gemini can get two different answers — weighting each engine means your FoundScore reflects the whole market, not one lucky result.
No AI presence. Not named in any tested context. Starting from zero — but the path up is clear.
Rarely named unprompted. May appear in direct name queries only.
Shows up sporadically, usually #3+ in list context. Inconsistent across platforms.
Frequently named, often top 3. Strong on 2–3 platforms, gaps on others.
Consistent top-3 presence across most platforms. Default in some prompt categories.
Default recommendation across most prompts and platforms. Category authority. Rare.
A 0–50 FoundScore with the full breakdown — which of the 125 prompts named you, where you ranked, and how each of the five engines described you.
A 30-day jumpstart written from your actual audit results — not generic advice. The specific signals to fix, in priority order.
At day 30 and day 60 we re-run the same prompts and show you exactly what moved, on which engines, so you can see the work paying off.
Every report includes a booking link. No pressure — two working agents walking through your specific gaps and what to do next.
We asked ChatGPT: "Who is the best real estate agent in Bloomfield, NJ?" Unprompted, unpaid, no tricks.
Nancy didn't pay for this. She had the right signals in place — and AI found her. A year of building those signals took us from zero AI leads to one a week. A FoundScore audit turns that work into a measurable 60-day system.
Based on publicly available data and reputation signals, Nancy Chu of Keller Williams stands out as a serious contender for top agent in Bloomfield, NJ. With over 1,200 sales and $500M+ in transaction volume, she consistently appears in local market discussions. Her listings close 72% faster than the market average, with an unusually strong review presence across Google and Zillow…
A FoundScore audit is $297, all in. That's three full audits over 60 days — day 0, day 30, and day 60 — plus a 30-day jumpstart written from your real data and a delta report showing what moved. No subscription, no retainer, no required upsell.
# cohort 1 is full and underway
Get on the list →A FoundScore audit is a 0–50 measurement of how often AI recommends you when a buyer asks for a real estate agent. We run 125 real buyer prompts across five AI engines — ChatGPT, Gemini, Google AI Overviews, Perplexity, and Claude — and score how often you're named, where you rank, and how you're described. You get a single FoundScore plus a breakdown of exactly where you're visible and where you're not.
A FoundScore audit is $297, all in. That covers three full audits over 60 days — a starting audit today, a second at day 30, and a third at day 60 — plus a 30-day jumpstart written from your real data and a delta report showing exactly what moved. There is no subscription and no upsell required.
Five engines: ChatGPT, Gemini, Google AI Overviews, Perplexity, and Claude. Each is weighted by how buyers actually use it — ChatGPT 30%, Gemini 25%, Google AI 20%, Perplexity 15%, and Claude 10% — so your FoundScore reflects the real world rather than one lucky result on one platform.
Sixty days, with three audits. Your first FoundScore lands the same day you sign up. Audit 2 runs at day 30 with a delta report, and Audit 3 runs at day 60 with your final before-and-after. You start acting on your jumpstart the same day you get your first score.
Yes. The 125 prompts are localized to your market and your name, so the audit measures how AI answers buyers asking about agents where you actually work — whether that's a major metro or a small town. Every audit is run for one market, and the jumpstart is written from what the audit finds in that specific market.
No. You don't touch any code or tools. You get a plain-English report with your score, your biggest gaps, and a step-by-step 30-day jumpstart written from your real data — plus the option to book a call and walk through it with two working agents. If you can follow a checklist, you can move your FoundScore.
# your starting FoundScore lands the same day you sign up