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Client Results · Evidence exhibit 01
The firms before Coastline focused on SEO and did not do AEO or GEO. Two comparable checks showed him among the first names more often. Overall mentions did not change. Separately, the practice reported about $35K from new clients who said AI sent them.
Healthcare practice · identity withheld by agreement
Evidence ledger
Coastline completed grounded runs on July 2 and July 29 using the same stored question set and collection conditions. The historical runs used three model providers.
The follow-up placed the practice in the top three more often. Overall mention frequency did not change. That distinction matters.
On the public record the practice approved, Coastline corrected inconsistent practice and service descriptions, thin or wrong local and third-party signals, and public pages that did not answer the buyer questions. That is not a complete inventory, and it is not a how-to.
The practice attributed approximately $35,000 in new-client revenue to callers who told the front desk AI referred them. This was client-reported, not independently audited.
Client voice
Before working with Megan and Coastline Metrics, my business was not being recommended consistently by AI platforms. Megan identified the gaps affecting my visibility, corrected the underlying issues, and strengthened how my business was represented online. I now have greater confidence in my digital presence and have gained new clients who found my business through AI.
How to read this case
Client Results · Evidence exhibit 02
New patients
12+
Over 90 days. Within about 4–6 weeks, more were coming in.
20 years in business.
Measure → Fix → Verify
01
See whether the brand enters the shortlist and how prominently it appears.
02
Correct the highest-priority public evidence the client approves.
03
Repeat comparable questions and report movement—or no movement—honestly.
This case combines two different evidence types: Coastline’s dated measurement and the practice’s revenue report. The timing is relevant; it does not prove that a specific correction caused a specific booking.