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Run your salon's reviews through AI to find what clients praise, then turn it into team training

who Angela Pantaleone, owner of Coterie17 Salon & Spa in Robbinsville, New Jersey (about 50 employees), in the 2025 Salon Today 200 technology roundup

What it does

The salon uses AI-powered review analysis to sort what guests say in their reviews. The analysis showed that positive reviews often praise the stylists' active listening. The salon now uses those reviews in training sessions to teach the team to ask the right questions, dig into what the client really wants, and explain clearly when something needs a different approach. The specific review tool isn't named; the salon's software list includes Phorest.

Setup

Easy · or we set it up for $197

Tools

AI review analysis (tool not named)

The problem

The salon wanted to line up how the team works with what guests actually expect, but reading through reviews by hand doesn't show patterns.

What happened

"By analyzing this feedback, we've been able to pinpoint opportunities for growth. We now use these reviews in training sessions." No numbers given. Self-reported in a trade-magazine roundup.

Quoted in the source: Angela Pantaleone, owner, Coterie17. Source: Salon Today: 2025 SALON TODAY 200: Technology (2025) · Added 2026-11-07.

How to set it up yourself

  1. What Coterie17 uses: an AI review-analysis tool (not named). You can do the same with ChatGPT by pasting in your reviews.
  2. Export or copy your last 100 to 200 Google and booking-app reviews into one document. Remove client last names.
  3. Run the prompt below to find what clients praise most, what they complain about, and which stylists' names come up.
  4. Pick one strength and one gap each month and build a 15-minute team huddle around real review quotes, as Coterie17 does.

Copy-paste prompt

Below are {NUMBER} client reviews for {SALON NAME}, a hair salon and spa. Group them into themes. For each theme give: how many reviews mention it, whether it's praise or a complaint, and two short example quotes. Then list the top three things clients love that we should keep teaching, the top three problems to fix, and one 15-minute team training idea for each, using the clients' own words.
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