What working with us looks like

From invisible
to recommended.

A typical engagement, step by step — from the first free audit to the monthly proof that AI is putting your clinic in front of patients.

illustrative example using an anonymized clinic · shows our process and the movement we work toward — not a guaranteed or past result · ai answers change and visibility builds over weeks to months

0

Day 1 · Free

The audit — see exactly where you stand

We ask every major AI engine the real questions your patients ask — “best Botox in [city],” “safest place for filler,” “how much does laser cost” — and capture, word for word, who gets recommended and whether it’s you.

Example: a Palo Alto med spa runs its free audit and sees the snapshot below — its ~one-third visibility is roughly the norm we found across six local clinics.1

AI visibility (named at all)~32%
Citation share (your site linked)~15%
Who AI recommends instead3 competitors

delivered with the verbatim answers + a tamper-evident receipt, so the findings are verifiable

1

Week 1

The plan — turn gaps into a 90-day roadmap

We translate the audit into a fixed plan: which answer pages to build, which listings to fix, which trusted sources to earn citations from. Fixed scope, fixed price ($1,000/mo), and you approve everything before it goes live.

2

Month 1

The build — done for you

We focus on what actually earns the recommendation: genuine patient reviews, accurate listings across the sources AI reads (Google Business Profile, RealSelf, Healthgrades), and real third-party mentions. We back it with answer pages and the behind-the-scenes medical labels (schema) that let AI reliably find and read you. Every clinical claim is sourced, your own licensed clinician approves anything clinical before it publishes, and we never handle patient data.

3

Every month

The proof — we re-run the exact same audit

Same questions, same engines, every month — with a receipt — so you can verify the movement instead of trusting a slide. The needle that matters isn’t whether you’re cited; it’s whether you’re recommended in the answer — that’s what we watch climb.

Recommended in the answer — month 0~15%
Recommended — tracked monthly↑ climbing

illustrative · ai engines take weeks to discover, index, and trust new content — movement builds over 30–90 days, not overnight

Month 3 and on

Success — recommended, and tied to bookings

You’re the clinic AI recommends when patients are choosing a provider — not a footnote citation, but the name it puts forward. And because we pair that with how new patients say they found you (call tracking plus a “how did you hear about us?” field), you see it show up as real inquiries, not just a chart.

Start at step zero — free.

We’ll run your audit and show you, word for word, where you stand today. No retainer to find out.

About this example: the clinic, figures, and movement above are illustrative — built to show how the service works, not a claim about a specific client or a guaranteed outcome. The one real, sourced figure is the ~one-third visibility starting point, from our audit of six Silicon Valley clinics.

Sources

  1. Oracite audit, June 2026 — six Silicon Valley aesthetic clinics across 216 buying-intent question–answer pairs; the typical clinic was named in ~32% of answers. Full methodology and data: oracite.com/state-of-ai-visibility.