AI Visibility · Plastic Surgery
The shortlist is being assembled by something that does not click.
A patient comparing three surgeons used to build that list from search results. Increasingly they ask an assistant, and it returns one answer.
Run it yourself
Here are the prompts. You do not need us to run them.
- Best plastic surgeon in {your city} for {your signature procedure}
- Who is the most experienced facelift surgeon near {your city}?
- Board-certified plastic surgeons in {your city} with good reviews
- How much does {procedure} cost in {your city} and who does it well?
- Best revision rhinoplasty surgeon near {your city}
- Is {your name} a good plastic surgeon?
The last prompt matters more than the others. When a patient has your name from a friend, the assistant becomes the credibility check, and what it says about you is not something you have ever seen.
Why plastic surgery is different
Answer engines do not treat every specialty the same way.
Generic AI-search advice ignores this, which is why generic AI-search advice produces generic results.
Assistants are cautious about medical recommendations
Answers in this category lean heavily on credential signals, third-party corroboration and safety framing. Board certification, hospital affiliation and society membership do disproportionate work, if they are legible in the first place.
Procedure specificity beats general presence
Being known as a plastic surgeon in your city is weaker than being known as the surgeon who does a particular procedure there. The queries carry the procedure, and so should the surface you build.
The name-verification query is invisible to you
When someone asks an assistant whether you are any good, you never see the answer, it does not appear in analytics, and it may be assembled from stale or partial sources. It is the highest-stakes query in this specialty and nobody measures it.
RealSelf, Healthgrades and society directories carry weight
These are the sources assistants reach for in aesthetics. A thin or inconsistent profile on them costs more here than in most specialties.
The measurement
What a baseline actually consists of.
Asking an agency whether they do AI search is not a useful question, because everyone says yes. The useful question is what their measurement actually consists of. This is ours, published before you buy anything, so you can compare it against anyone else's.
- Engines
- ChatGPT, Perplexity, Google AI Overviews, Gemini
- Named, because an unnamed engine list is not a measurement.
- Prompt set
- ~20 questions a real patient would ask
- Published in full, so you or a skeptic can re-run them without us.
- What we record
- Whether you are named, in which engines, alongside whom
- Plus the competitors that appear when you do not.
- Cadence
- Baseline, then the identical set re-run at 90 days
- Same prompts, same engines, both dates published.
You keep the baseline document whether or not you continue with us.
The work
What we change, once we know where you stand.
- 01
Make credentials machine-readable
Board certification, training, society memberships and hospital privileges expressed as structured data and consistent prose, not as a logo strip an engine cannot parse.
- 02
Build procedure-level surfaces
A real page per procedure you want more of, answering candidacy, process, recovery and cost range, because those are the questions attached to the query.
- 03
Reconcile the third-party record
Directory profiles, society listings and review platforms made consistent with each other. Contradiction between sources is a reason for an engine to name someone else.
- 04
Monitor the name-verification answer
We track what assistants say when someone asks about you specifically, and we tell you when it is wrong. This is the query nobody else measures.
The limits
What we will not claim.
Every agency in this category promises citations. We would rather be specific about what is not available, because you will find out either way.
- We cannot guarantee an engine will recommend you. Nobody can.
- We do not remove or suppress negative information. If an assistant is repeating something unflattering and accurate, the fix is not a marketing fix.
- We do not claim to influence model training. We influence what is findable, structured and corroborated about you.
- Movement is uneven across engines and we will show you that rather than reporting a single flattering average.
FAQ
Questions we get asked.
What if an assistant says something inaccurate about my practice?
That is common, and it is one of the more useful things a baseline surfaces. Assistants assemble answers from whatever is findable and corroborated, so inaccuracy usually traces to a stale directory profile, an outdated bio, or contradictory information across sources. The fix is correcting the sources, not appealing to the engine.
How is this different from reputation management?
Reputation management is mostly about reviews on platforms you can see. This is about what a generated answer says when nobody is looking, assembled from sources you may not know exist, delivered to a patient who never visits your site. The overlap is real; the measurement is not the same.
Is it worth doing before my website is good?
Usually not, and we will tell you so. If the site cannot state clearly what you do, where, and with what credentials, entity work has nothing to reference. The baseline is still worth running first, because it tells you how far behind you actually are.
What do I actually get?
A baseline document with the prompt set, the engines, the date, whether you were named in each, and which surgeons appeared when you did not, then the identical set re-run at 90 days. Both are yours to keep.
Find out whether assistants name your plastic surgery practice.
A measured baseline across four engines, with the prompt set published so you can check it yourself. Yours to keep either way.