Resell an AI Appointment Setter Your Clients Will Actually Trust.
Run ChatSetter across up to 10 client sub-accounts on one $797/mo plan. Charge $300–$500 per client. The objection that kills every AI-setter pitch — "I'm not letting a bot loose in my client's DMs" — is answered by the product itself: nothing sends until a human approves it.
Book an agency walkthroughThe margin math, without the hand-waving
One Agency plan is $797/mo and covers up to 10 client sub-accounts with 25,000 messages pooled across all of them. You resell at whatever the market bears; agencies in this category typically land between $300 and $500 per client.
| Clients | You charge (@ $400) | You pay us | Your spread |
|---|---|---|---|
| 3 | $1,200/mo | $797/mo | $403/mo |
| 5 | $2,000/mo | $797/mo | $1,203/mo |
| 10 | $4,000/mo | $797/mo | $3,203/mo |
Being straight about the break-even: at $400/client you need two clients to cover the plan and you're profitable on the third. Below that, Growth at $297/mo is the cheaper way to run one or two accounts, and we'd rather you started there. Message overage past the 25,000 pool is $0.075/message.
Why this one is easier to sell than the last AI tool you tried
You already know the objection. You pitch an AI setter, the client says some version of "so it's going to DM my leads without me seeing it?", and the deal stalls — not on price, on trust. It's a reasonable fear. Their DM inbox is where their highest-value conversations happen.
ChatSetter's Magic Queue is the answer to that objection, and it's a demo, not a promise: every AI-written reply is held for approve, edit, regenerate or skip before it reaches the lead. It's on by default. You can hand a nervous client the approval queue, let them greenlight the first hundred messages themselves, and let them decide when — and on which segments — to loosen it.
That turns "trust my bot" into "watch my bot, and veto it." It is a much shorter sale.
What you actually get
- 10 client sub-accounts — one per client, kept separate.
- 25,000 messages pooled across all of them, so a quiet client subsidises a busy one instead of you buying ten plans.
- Per-client reporting — the numbers you put in the monthly report you're already sending.
- Native GoHighLevel sync — installs as a GHL sub-account app and answers over GHL Conversations. Your client keeps the CRM and the pipeline they already have; ChatSetter is the responder on top. And if a client doesn't run GHL, that's fine too — ChatSetter works standalone, so you're not forced to sell them a CRM seat first.
- Dedicated account manager and priority onboarding — because your churn is our churn.
What you don't get, so you can plan around it: ChatSetter is not a white-label product. The client-facing UI, the domain and the sender identity are ours, not yours. If you need the tool to disappear entirely behind your brand, we're not there yet and we'd rather tell you now than in month two.
Agency questions
Do my clients need to pay for GoHighLevel?
No. ChatSetter runs standalone. If a client already uses GHL, we sync natively and install as a sub-account app; if they don't, nothing breaks. This matters because some competing AI setters require a paid GoHighLevel subscription underneath, which means every deal you close has to sell a CRM first.
Can I white-label it under my own brand?
Not today. Sub-accounts keep client data separate and give you per-client reporting, but the product doesn't rebrand to your logo or domain. If that's a hard requirement for your model, tell us on the walkthrough — it's the most-requested thing on our list and we'd rather hear it than guess.
What happens if one client blows through the message pool?
Nothing breaks. The 25,000 messages are pooled across all sub-accounts, and anything past that is $0.075/message. A client having a big month costs you cents, not an outage.
Won't this let my clients cut me out?
The honest answer: any tool a client could buy directly carries that risk, and we won't pretend otherwise. What you own is the setup, the persona and script tuning, the approval workflow, the reporting, and the relationship. The clients who churn out to buy direct were usually going to churn anyway. The ones who stay are paying for the operating expertise, which is the thing the software doesn't have.
See the approval queue before you pitch it
The demo that closes this is watching a bad AI draft get killed before it sends.
Book an agency walkthroughAll pricing · How Magic Queue works · DM automation, explained