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Case Studies/Murphey Dental Aesthetics
Dental2 min read2 months

How a Ridgeland cosmetic practice got its two best months in three years

A three-year-old cosmetic dental practice was paying for Google Ads that delivered emergency cases instead of the cosmetic work it wanted. Two months into AI search optimization, patients started arriving and naming ChatGPT as the reason.

2 months

the most productive the practice has had since it opened three years ago, in the owner's own words

The full interview, unedited in substance and recorded on camera. He describes what the practice looked like before, what changed, and what his patients started saying at the front desk.
01

The Challenge

Murphey Dental Aesthetics opened just over three years ago in Ridgeland, Mississippi. Cosmetic and general dentistry, with the owner wanting roughly three quarters of the chair time to be cosmetic work.

The marketing was not delivering that mix. Google Ads brought volume, but the volume was emergency dentistry. Useful for keeping the lights on, and the opposite of the practice the owner was trying to build.

The trigger was something he noticed himself. Patients in their sixties and seventies were using ChatGPT to find a doctor. If that was where the search now started, being absent from it was going to cost him the exact patients he wanted most.

These last two months, and I'm really not just saying this, this is the truth, they have been our most productive months that we've had since inception.
Owner, Murphey Dental Aesthetics
02

The Solution

1

Google Business Profile rebuild

Primary and secondary categories corrected, every cosmetic service listed and described, service areas set to a realistic radius, and the profile kept active rather than set and forgotten.

2

Citations on the sources AI reads

Name, address and phone matched character for character across the directories ChatGPT and Perplexity actually pull local business data from, including the dental-specific ones.

3

Content built to be quoted

Service pages written as answers to the questions patients type, so an answer engine has something specific to cite rather than a brochure to summarise.

4

Review velocity, not review count

A steady cadence of recent, service-specific reviews. The practice runs this itself, and it is the part of the engagement the owner has been most diligent about.

03

The Process

Every Pleiades engagement runs the same four phases. The work compounds, which is why results show up fast and keep building.

1

Phase 1

AI visibility audit

We run the business through ChatGPT, Perplexity, Claude, and Google AI Overviews and map exactly where it does and does not appear, and why.

2

Phase 2

Directory foundation

We claim and complete the Foursquare, Bing Places, Apple Maps, and citation listings AI engines pull from, with consistent NAP across every platform.

3

Phase 3

Schema and content

We add LocalBusiness and Service schema and restructure key content so AI crawlers can read and cite exactly what the business offers.

4

Phase 4

Tracking and iteration

We monitor citation rate across every AI engine each month and keep refining what moves it.

04

The Results

2 months

The practice's most productive since opening, owner-attested

#1

On ChatGPT for cosmetic dentist searches in their market

3 years

Without a single patient ever naming how they found the practice, until now

15

New reviews a month, hit by the 20th day of the first month

Key Takeaway

The number that matters here is not a ranking. In three years of business, no patient had ever walked in and named a source. Two months in, several told the front desk they came because ChatGPT put the practice first. That is what AI search looks like when it lands, and it changed the type of patient booking as much as the number of them.

All figures verified from client reporting. Individual results vary by market and competition.

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