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Case Study
How AI Optimization Made a Charlotte Dental Group the Default Recommendation in AI Search
Industry
Dental (general, cosmetic, and restorative)
Location
Charlotte, NC
Company size
2 locations, 4 dentists, 22 staff
Engagement length
6 months
Service
AI Optimization (AIO)
At a Glance
Metric
Before
After (8 months)
AI citation share (180 tracked prompts)
6%
58%
Google AI Overview appearances (high-intent queries)
0
34
New patients attributed to AI discovery
Untracked / near zero
54
Blended new-patient cost per acquisition
Baseline
Down 31%
Investment
$19,800
First-year revenue attributed to AI channel
$124,200 (projected)
ROI on first-year attributed revenue
527% (about 6.3x)
The Client
The practice is a well-established two-location practice serving two major areas of Charlotte. The group has a strong cosmetic and restorative focus, with a meaningful share of revenue coming from Invisalign cases and dental implants. For years, new patients came through a reliable mix of Google Ads, the practice's Google Business Profiles, organic search, and word-of-mouth referrals.
That mix had been working, but the cost of new-patient acquisition was climbing. Google Ads cost per acquisition had reached roughly $285, and the managing partner was increasingly hearing a new answer to the intake question "How did you hear about us?" Patients were saying things like "I asked ChatGPT for a good cosmetic dentist near me" or "your name came up when I searched."
The Challenge
When the practice's marketing coordinator started testing AI assistants directly, the problem became clear. Asking ChatGPT, Gemini, Perplexity, and Google's AI Overviews questions like "best Invisalign dentist in Charlotte" or "who does dental implants in South Park" returned two large DSO-backed competitors over and over. The company was rarely mentioned, and when it was, the information was thin or outdated.
This mattered because patient behavior was shifting. High-intent prospective patients, the people researching a $5,000 Invisalign case or a multi-tooth implant plan, were increasingly starting that research inside an AI assistant rather than a traditional search results page. If the AI did not surface the company as a credible option, the practice never even entered the consideration set.
The core issue was not reputation. The company had excellent reviews and outcomes. The issue was that the practice was effectively invisible to the AI systems that were now shaping these high-value decisions.
Why AI Optimization
Traditional SEO and paid ads optimize for how a page ranks. AI Optimization focuses on something different: whether a brand gets cited, recommended, and accurately represented inside the answers that AI assistants generate. Those answers pull from structured data, authoritative mentions, review signals, and clearly extractable content, not just keyword rankings.
For a practice competing on high-ticket treatments, being the name an AI assistant recommends is worth far more than another paid click. That is the outcome we set out to engineer.
The Approach
Phase 1: AI Visibility Audit (Weeks 1 to 3)
We built a tracking set of 180 high-intent local prompts and tested them across ChatGPT (with search), Google AI Overviews, Gemini, Perplexity, and Microsoft Copilot. Prompt categories included "best dentist in [area]," "Invisalign [area]," "dental implants Charlotte cost," "[practice name] reviews," "emergency dentist near me," and common insurance and financing questions.
The audit confirmed a 6% citation share, an inconsistent business listing footprint, no review or FAQ structured data, and two Google Business Profiles that were underoptimized for the services driving the most revenue.
Phase 2: Entity and Technical Foundation (Weeks 2 to 8)
We implemented Dentist, MedicalClinic, FAQPage, and Review schema across both location pages and every core service page. We cleaned up name, address, and phone consistency across more than 40 directories and citations, and we reinforced the practice's entity footprint by clearly connecting the brand to its dentists, their credentials, and their affiliations.
Both Google Business Profiles were rebuilt around the right categories, services, attributes, photos, and review responses.
Phase 3: Answer-First Content (Weeks 3 to 16)
We built a content hub designed for AI extraction, not just human reading. Pages were written conversationally and structured around real questions:
- "How much do dental implants cost in Charlotte?"
- "Invisalign vs braces: which is right for you?"
- "What to do in a dental emergency"
- Plus, clear insurance and financing explainers and a new-patient FAQ.
Each page used concise, quotable answers under question-style headers, backed by schema.
We also earned mentions and citations on local directories, a regional health column, and dental-specific platforms that AI systems treat as trustworthy sources.
Phase 4: Reviews, Reinforcement, and Tracking (Weeks 4 to 24)
We launched a review velocity and sentiment program across Google and the platforms AI assistants weigh most heavily, with structured responses to every review. Just as important, we stood up real attribution so results could be measured rather than assumed.
How We Tracked Attribution
Believable ROI requires real measurement. We tracked AI-driven new patients through four overlapping signals:
- Dedicated call-tracking numbers on the AI-optimized landing pages.
- A "How did you hear about us?" intake field that now includes "ChatGPT / AI assistant / online research."
- CRM tagging of every new patient back to the originating channel.
- Monthly re-testing of the 180-prompt set to track citation share over time.
When two or more signals aligned, the patient was counted as AI-attributed. This conservative approach means the real number is likely higher than what we reported.
The Results
By the end of the six-month engagement:
- AI citation share rose from 6% to 58% across the 180 tracked prompts.
- The practice became a named recommendation in ChatGPT and Gemini for "best Invisalign dentist in Charlotte" and "cosmetic dentist South Park."
- They appeared in Google AI Overviews for 34 high-intent queries, up from zero.
- 54 new patients were attributed to AI-driven discovery during the engagement.
- AI-sourced patients skewed toward higher-value treatment. A larger share arrived ready to discuss Invisalign and implant plans, which lifted their average value above the practice norm.
- Blended new-patient cost per acquisition dropped 31% as the AI channel scaled and reduced the practice's reliance on paid clicks.
The ROI Breakdown
The practice's average first-year revenue per new patient runs about $1,650. AI-sourced patients averaged roughly $2,300 in first-year value because they arrived with higher intent for cosmetic and restorative work.
New patients attributed to AI discovery:
54
Average first-year value per AI-sourced patient:
$2,300
Projected first-year revenue from those patients:
$124,200
Revenue already collected during the 6-month engagement:
$78,200
Total investment:
$19,800
ROI on revenue collected during the engagement:
($78,200 minus $19,800) divided by $19,800 = 295%
ROI on projected first-year revenue:
($124,200 minus $19,800) divided by $19,800 = 527%, roughly a 6.3x return
These figures exclude referrals and long-term patient lifetime value, both of which push the true return considerably higher.
Key Takeaways
- AI assistants now influence high-value dental decisions before a patient ever visits a website.
- Citation share inside AI answers is a measurable, improvable asset, not a black box.
- AI-sourced patients tend to be higher-intent, which improves case acceptance and average value.
- With real attribution in place, AIO can be held to a clear ROI standard.
What's Next
The practice has moved to an ongoing AIO retainer to defend and expand its citation share as competitors begin to catch on, with a new focus on pediatric and emergency-care prompts and a third location opening later this year.
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