AI Marketing Company
AI Marketing Company
PRP Practices
PRP patients are comparing clinics for three very different use cases at once — joints, hair restoration, and recovery — and most are paying out of pocket. Before they book, they want to see a licensed provider's name, real before/after evidence, and a clear answer on what PRP can't do.
Why AI-Powered, Specifically
A patient looking into PRP for knee pain searches nothing like a patient looking into PRP for hair loss, and neither searches like an athlete asking about PRP for a partial tendon tear. A single generic "PRP therapy" page trying to speak to all three usually speaks clearly to none of them, and it gives an AI system no clean answer to extract when someone asks something as specific as "does PRP work for hair loss" or "PRP vs cortisone for knee pain."
Because PRP is cash-pay in most practices and priced per session, patients are also actively comparing cost and provider credentials before they'll commit — this is a category where "board-certified" or "physician-administered" language, plus a visible before/after gallery, does real work in both human trust and AI citation.
What We Build
Search, social, ads, and your website all working together — built around the specific trust signals and questions that get a patient in this category to actually pick up the phone.
The clinical question, the price sensitivity, and the timeline expectations for PRP in a knee, a scalp, and a shoulder tendon are all different, which means treating them as one undifferentiated service line undersells all three. A patient asking an AI assistant about PRP for hair loss wants an answer about hair loss specifically — not a paragraph about orthopedic use cases with "hair" mentioned once in a bullet list.
Splitting PRP into its actual use cases as separate, specific pages also solves the AI-citation problem directly: each page can be built to directly answer the exact question a patient in that specific situation is asking, which is what gets a snippet pulled into an AI Overview or a ChatGPT answer instead of a competitor's page.
Because PRP is rarely covered by insurance, patients treat the decision more like a considered purchase than a typical medical visit — they compare price, provider, and evidence across multiple practices before choosing. A page with real, current before/after documentation (with consent), a named and credentialed provider, and a plain explanation of what a treatment course and its cost actually look like consistently outperforms a page that only says "call for pricing."
The same specificity that builds patient trust is what AI systems reward. A page that clearly explains what PRP is, how it's prepared and administered, and what a realistic outcome looks like for a given use case gives an answer engine a factual basis to cite the practice by name.
Common Questions
Separate pages, in almost every case. Each use case has a different patient, a different question, and a different competitive set — combining them into one general "PRP" page makes it harder for either patients or AI systems to find a direct answer to the specific question they came in with.
Yes, with the patient's documented consent and without altering or misrepresenting the results — that's standard practice and something we build into the page properly rather than treating as an afterthought. We won't use stock or borrowed photos represented as your own patients.
By making the comparison about more than price — provider credentials, preparation method, and realistic outcome expectations are exactly what a patient comparing multiple practices is trying to sort out, and a page that answers those questions clearly usually wins the visit even at a higher price point.
No templates — we review what's actually costing you comparison-shopping patients before building anything.
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