AI Visibility of Miami Plastic Surgery Practices: What ChatGPT, Gemini and Perplexity Actually Recommend

Methodology

We wrote 30 prompts that sound like real patients, not marketers. They covered four kinds of questions: "best of" requests, comparisons between practices, specific procedures (like rhinoplasty or a mommy makeover), and time-sensitive requests. We ran the prompts across three AI engines — ChatGPT, Gemini, and Perplexity — which gave us 138 valid answers.

Who is in the tracked group: 51 plastic surgery practices across the Miami metro area — the city plus suburbs like Coral Gables, Miami Beach and Bay Harbor Islands — every practice we could confirm as a real, operating business, including every one the AI engines themselves named in their answers. We measure the metro on purpose: when a patient asks about "Miami", the AI answers with names from the whole metro, so a narrower sample would miss the actual competition.

From those answers, we parsed 658 individual recommendations naming 233 distinct practices. Each recommendation is an exact quote from the answer text — no guessing, no interpretation. We store the raw answers in full, so every number on this page can be recomputed from the original data.

One thing we measure on purpose: frequency, not rank. AI assistants don't have a fixed ranking the way Google search results do — the same question can get a different answer tomorrow. So the honest metric is how often a practice gets recommended across many realistic questions — that is what the visibility score reflects.

A note for practices that already invest in SEO: this is a different measurement. SEO is about where you rank on Google. This benchmark is about whether AI assistants recommend you when a patient asks. A practice can do well on one and be invisible on the other.

Results

Plastic surgery answers are noticeably tighter than the medspa and dental answers we measured in the same metro: an average answer named about 4.8 practices. Fewer seats on the shortlist means each one is worth more — and nearly half of the tracked practices held none of them.

Across the 51 tracked practices, the average visibility score was 5.7 out of 100 and the median was 1.3 — the typical practice in our sample barely registers, while a group of front-runners pulls the average up. The best score was 30.1 out of 100: high enough to show that a handful of practices are consistently named, far enough from 100 to show that nobody owns this market yet.

Concentration is the real story here. The 5 most-mentioned practices captured 29% of all recommendations — the highest concentration of any market we've measured. One more distinctive signal: the source AI engines cited most often behind these answers was the American Society of Plastic Surgeons directory (plasticsurgery.org, 88 citations) — ahead of RealSelf (79) and every review platform. For surgeons, professional credentials pages are not a formality; they are what the engines actually read.

Where AI gets its information

When AI recommended plastic surgery practices in this market, it cited 1,144 sources in total. Most were the practices’ own websites. These are the third-party platforms it cited most — the places worth being present and accurate on.

Limitations

• This is a snapshot from one day — July 10, 2026. AI answers change over time, and the same question can get different answers on different runs.
• We used 30 prompts. They cover common patient questions, but different wording could surface different practices. The numbers describe our sample, not every possible question.
• We tracked 51 practices, while the AI engines named 233 distinct names — including chains, businesses outside the metro, and names we could not verify as real practices. Our percentages apply to the tracked group, not to every plastic surgeon in the Miami area.
• Visibility measures how often a practice is recommended by AI — it says nothing about surgical skill, safety record, or the quality of care a practice provides.
• Nothing here is a guarantee. No one can promise that an AI assistant will recommend a specific business — anyone who promises that isn't being honest. Closing specific gaps raises the probability; it does not guarantee the outcome.