“I need a gentle dentist in central Austin.”
The practice identity was understood.
Shortlist inclusion changed between observations.
A focused evidence gap is worth measuring.
Illustrative example · not a customer result or performance claim.
See whether consumer AI services recommend your practice, who they show instead, and whether the gap is worth investigating.
One answer is not a market ranking. The useful signal is a preserved observation with its question, location, consumer surface, status, and limitation.
“I need a gentle dentist in central Austin.”
The practice identity was understood.
Shortlist inclusion changed between observations.
A focused evidence gap is worth measuring.
Illustrative example · not a customer result or performance claim.
Enter the website, city, ZIP, and representative email. We will send a one-time code; the Quick Scan starts only after it is confirmed.
AI recommendations vary. The Baseline controls the comparison and keeps disagreement visible instead of turning it into false certainty.
The answer may change tomorrow.
A different city can produce a different market.
Another buyer question can change the shortlist.
Different consumer AI products can disagree.
We turn a changing answer into a bounded observation—and keep the evidence attached.
Directional evidence for one practice and one local target.
Start freeComplete one-time measurement, preserved evidence, competitors, stability, and ranked next actions.
One time · no subscription requiredAfter a verified Baseline, optional Monitoring can observe later visibility and competitive movement. It does not prove causation and is not required to receive the complete paid report.
Every material conclusion stays connected to the answer, source, scope, status, and limitation that support it.
The method reduces guesswork without pretending that AI answers are permanent or that an observed change caused a business outcome.
Test the interfaces customers actually use.
Hold market, service eligibility, and question set steady.
Repeat priority and unstable outcomes; preserve disagreement.
Connect material findings to raw answers and exact sources.
The free scan cannot prove complete visibility or complete absence. Its job is narrower: show whether a concrete reason exists to measure properly.
You can get one useful anecdote. A comparable baseline holds the local market and buyer-question set steady, checks several consumer AI surfaces, repeats priority outcomes, and preserves the evidence.
No. Search rankings and AI recommendations are different observations. The Baseline measures what consumer AI answers, which practices appear, and what public evidence may explain a controllable gap.
No. The product measures a disclosed observation window and identifies evidence-linked actions. It does not promise ranking, recommendation growth, patient volume, or causation.
No. The entry flow uses the practice website, location, and access email. The measurement uses public business information and consumer-facing AI services, not patient records or CRM access.
Unavailable surfaces are disclosed and excluded from the observed result. They are not counted as a negative recommendation outcome.
No card · private result in the live product · one free scan per email