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Coastline MetricsWhether you make the AI shortlist — and why.
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Client ResultsHealthcare practice · anonymized
New clients · ~$35K.
The practice is not named.
Before
AI named a competitor
After
The front desk started getting calls
$35K
Client-reported
From first assessment to client-reported results.
First assessment
1. Not the AI pick
A ready-to-book buyer asked who to hire. Across ChatGPT, Gemini, Perplexity, and Google AI Overviews, competitors were named. This practice was not the pick — and the front desk never got the call.
Then
2. Fixes
Coastline ran Measure → Fix → Verify. The practice saw which buyer questions named competitors, on which platforms — then Coastline fixed marketing issues those AI answers rely on. Their existing marketing firm stayed in place for usual marketing; Coastline owned the AI visibility work.
Soon after
3. Callers
Callers started telling the front desk AI sent them.
Commercial outcome
4. New clients · ~$35K.
About $35,000 in client-reported revenue from new clients who told the practice AI referred them. Coastline did not independently audit the practice’s financial records.
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.
Outcome-level gaps from the engagement — not a fix playbook, and not a complete inventory.
1. The practice looked inconsistent
Practitioner, practice, and service descriptions did not match — including missing service and treatment information and a thin provider biography.
2. Local and third-party signals were thin or wrong
Geographic relevance was unclear, third-party profiles needed correction, and structured data plus supporting references were weak.
3. Buyer questions were unanswered in public content
Website claims did not line up with public profiles, and customer-question content tied to observed prompts was missing — so assistants named competitors instead.
Twenty-six years in business. More than 200 Google reviews. A professional marketing firm already handling their usual marketing. New-client growth had still slowed, so they came to Coastline. Traditional marketing had not made them the AI recommendation. On the buyer questions that turn into appointments, competitors were named instead.
Coastline measured the gap and improved their AI visibility. The practice reported new clients — about $35K in revenue — from people who said AI told them who to see. After fixes ship, Coastline re-runs the same buyer questions every 30 days to prove the answers moved.
Approximately $35,000 in client-reported revenue from new clients who told the practice AI referred them. Coastline did not independently audit the practice’s financial records. The practice reported this within 30 days of visibility improvements. Attribution was recorded when callers told the front desk AI sent them. Coastline does not publish a client count, collected-versus-projected split, or first-time-only confirmation because those details were not independently verified.