AI Visibility of Phoenix Medspas: What ChatGPT, Gemini and Perplexity Actually Recommend

Methodology

We wrote 30 prompts that sound like real clients, not marketers. They covered five kinds of questions: "best of" requests, comparisons between medspas, specific treatments (like Botox, fillers, or laser packages), "near me" searches, 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: 64 medspas across the Phoenix metro area — the city plus suburbs like Scottsdale, Mesa and Tempe — every medspa 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 client asks about "Phoenix", the AI answers with names from the whole metro, so a narrower sample would miss the actual competition.

From those answers, we parsed 862 individual recommendations naming 331 distinct medspas. 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 medspa gets recommended across many realistic questions — that is what the visibility score reflects.

A note for owners who 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 client asks. A medspa can do well on one and be invisible on the other.

Results

AI assistants hand out plenty of names in this market: an average answer recommended about 6.2 medspas, and most tracked medspas got at least one mention — Phoenix has the healthiest baseline visibility we've measured.

But the top is where this market stands apart. The best-scoring medspa reached 52.1 out of 100 — the first score above 50 in any market we've measured — while the average across all 64 tracked medspas was 6.8 and the median 2.6. In other words: almost everyone is mentioned occasionally, one player is recommended consistently, and the gap between those two states is the whole game.

Concentration is rising but not locked: the 5 most-mentioned medspas together captured 18% of all recommendations, and the engines named 331 distinct medspas overall. As of July 10, 2026, Phoenix medspa shows what the endgame of AI visibility looks like — and why the time to stake a position is before a front-runner in your market crosses the halfway mark.

Where AI gets its information

When AI recommended medspas in this market, it cited 1,341 sources in total. Most were the medspas’ 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 client questions, but different wording could surface different medspas. The numbers describe our sample, not every possible question.
• We tracked 64 medspas, while the AI engines named 331 distinct names — including chains, businesses outside the metro, and names we could not verify as real medspas. Our percentages apply to the tracked group, not to every medspa in the Phoenix area.
• Visibility measures how often a medspa is recommended by AI — it says nothing about the quality of treatments a medspa 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.