Beauty & Salons · Estheticians & Skincare Clinics

AI Agent for Skincare Treatment and Price Questions

Explains what each treatment involves and what it costs from your published information, and books a consultation for anything that needs a face.

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How it works
1 Step
Publish the facts once
2 Step
Answer generously within them
3 Step
Stop at the assessment line
Treatment descriptions, durations, downtime, prices and course pricing are given to the agent as a single approved source.

Overview

What an AI agent for skincare treatment questions is, and where the answers stop.

An AI agent for skincare treatment questions is a 24/7 digital assistant that answers what each treatment involves and what it costs from your published information, and books a consultation whenever the answer depends on assessing someone's skin. Skincare inquiries divide neatly into two kinds. "What does a dermaplaning appointment involve and how much is it?" is a published fact and should be answered instantly at any hour. "Would microneedling help my scarring?" is an assessment and should never be answered by software. Clinics tend to get this backwards — they are cautious about publishing prices, which loses inquiries, and casual about treatment suggestions, which loses trust. Splitting the two cleanly answers far more than most clinics currently do while committing to considerably less.


Capabilities

What the Skincare Treatment Inquiry Agent does

Answers published facts fully; refuses assessments completely.

01

Answers treatment and price questions from your published information

02

Explains what a treatment involves, how long it takes and typical downtime you publish

03

States price bands and course pricing where you publish them

04

Says plainly that suitability and results depend on a skin assessment

05

Books a consultation for any question that requires seeing the skin

06

Escalates anything medical to a person

Why you should use the Skincare Treatment Inquiry Agent

Withholding prices in skincare loses the inquirers who would have booked without deterring anyone who was going to object later. Meanwhile, answering "would this help my pigmentation?" with a confident yes produces a client with expectations the treatment cannot meet, which is worse than losing her. Getting the split right — generous with published facts, absolute about assessments — improves conversion and reduces disappointment at the same time, which is unusual.

Before
Price questions are deflected with "book a consultation" and the inquiry dies
Staff suggest treatments for concerns nobody has looked at
Different people describe the same treatment differently
Evening inquiries wait until the next working day
Clients arrive expecting results the treatment was never going to produce
After
Published facts are answered fully and instantly, at any hour
Assessment questions produce a consultation rather than a guess
Treatment descriptions are consistent across staff and channels
Inquiries convert at the moment people are comparing clinics
Expectations are set by the esthetician rather than by the inquiry
Process

How it works

A three-step flow that answers on price and stops short of suitability.

Step 01

Publish the facts once

Treatment descriptions, durations, downtime, prices and course pricing are given to the agent as a single approved source.

Step 02

Answer generously within them

Any question that is a published fact is answered fully, on any channel, at any hour.

Step 03

Stop at the assessment line

Anything about whether a treatment suits a particular person becomes a consultation booking, and anything medical is escalated.


Example

Example workflow

A realistic week of treatment questions arriving across several channels.

Scenario: a clinic had been declining to publish prices and answering treatment suitability questions freely — exactly the wrong way round. The agent is given the published treatment descriptions and price bands. At 9:15pm someone asks how much a course of six peels costs and what the downtime is. Both are answered fully, with the course price and the clinic's published downtime guidance. She then asks whether peels would fix her acne scarring. That is not answered — the agent explains that scarring varies and the treatment depends on an assessment, and books a consultation. She books. She arrives with accurate expectations about cost and no expectations at all about results, which is the right way round.

Missed-Call & Booking Automation Website chatInstagram DirectTwilio VoiceFresha AI Agent flow

Audience

Who can benefit

Clinics withholding prices while answering the questions they should not.

✍️ Skincare clinic owners

You are probably withholding the answers that convert and giving the ones that disappoint.

💼 Estheticians

Clients arrive without a treatment promise you now have to manage.

🧠 Clinic receptionists

You stop being asked to judge whether a treatment suits someone.

Clinic managers

Treatment descriptions become consistent across every channel.

🎯 Clinics with course pricing

Course terms get explained the same way every time.

📋 Clinics with published price lists

The price question is answerable; the suitability question is not.

Integrations

Answers from your published information and books from the same thread.

Website chat

Answers treatment and price questions at the point of comparison.

Instagram Direct

Handles the same questions arriving as DMs.

Twilio Voice

Answers callers asking about treatments and prices.

Fresha

Supplies the treatment menu, course pricing and consultation availability.

Google Sheets

Logs which treatments are asked about and where inquiries stop.

Applications

Best use cases

The price questions that decide whether somebody books a consultation.

Answering peel and course pricing at nine at night
Explaining downtime from your own published guidance
Converting a suitability question into a consultation
Keeping treatment descriptions consistent across staff
Escalating inquiries that are really medical
Finding out which treatments generate inquiries that never convert

FAQ

FAQ

Questions about quoting treatments without advising on them.

An AI agent for skincare treatment questions is a 24/7 digital assistant that answers what each treatment involves and what it costs from your published information, and books a consultation whenever the answer depends on assessing someone's skin. The split between published facts and assessments is the whole design.

Withholding them mostly loses inquirers who would have booked, while the people who were going to object to the price still object later. Bands with the variables explained filter out mismatches early. The clients you lose by publishing were rarely going to become regulars at that price.

No. Results depend on the skin, the concern and the history, and a confident yes from software produces a client with expectations nobody can meet. It explains that this is assessed at consultation and books one.

It can convey factual descriptions of each from your published information. It does not recommend one over the other for a particular person, because that is an assessment.

Escalated. Moles, suspected infections, severe reactions, anything a client is worried about medically — those go to a person, who can direct them to a doctor where that is the right answer.

No, that is a different question and it needs your actual costs, your market and your positioning. The agent quotes the prices you have set.

The treatment information is a source it reads, so an update propagates everywhere at once. That single-source behavior matters most for clinics whose descriptions currently differ between their website, their price list and whoever is on the desk.


AI Agent for Skincare Treatment and Price Questions

Explains what each treatment involves and what it costs from your published information, and books a consultation for anything that needs a face.

Start from this template
Edit it — the agent is built from this briefBuild this agent