White Label AI Chatbot: Platforms, Pricing, and When to Build Your Own (2026)
A white label AI chatbot is a chat, WhatsApp, or knowledge-base bot you sell to clients under your own brand while a platform or build partner runs the technology. In 2026 agencies get one three ways: strip the vendor logo, deploy on a branded domain, or run a full multi-tenant dashboard with client sub-accounts and billing.
What a white label AI chatbot actually is
A white label AI chatbot is a conversational agent, on a website, inside WhatsApp, or wired to a client's help centre, that the client's customers talk to without ever seeing the vendor's name. You own the brand and the client relationship; a platform or a build partner runs the model, the retrieval layer, and the infrastructure underneath.
"White label" is not one thing. It covers three different depths, and the platform comparison below only makes sense once you know which one you're buying:
Branding removal. The chat widget stops saying "Powered by X." Cheapest tier, and the shallowest. A client's own developer can still find the vendor in one page-source search.
Custom-domain deployment. The bot or its dashboard lives at app.youragency.com with your logo and colours. The vendor is invisible on the surface but still owns the product roadmap underneath.
Full branded dashboard with client sub-accounts. Your own client accounts, your pricing, automated billing, usage rebilling across every client from one login. This is the tier that turns chatbots into a software line instead of a one-off project.
Most disappointment with these tools traces back to buying tier one while budgeting for tier three. A $99 branding-removal add-on will never hand you the client dashboard that a $199–$349/month agency plan does.
For the same three-tier distinction applied across the whole AI-platform category, not just chatbots, see our guide to choosing or building a white label AI platform.
The white label AI chatbot platforms agencies use in 2026
If you're licensing rather than building, these are the platforms that come up in almost every agency conversation about chatbots. Prices are first-party figures, checked August 2026.
| Platform | What you resell | White-label entry price | White-label depth | Watch for |
|---|---|---|---|---|
| Stammer Agency | Chat + voice agents | $197/mo Agency; $497/mo full SaaS mode | Full: branded dashboard, domain, API, wallet-based client billing | Per-message cost $0.001–$0.03+ by model; voice priced separately |
| ConvoCore White Label | Omnichannel chat (web, WhatsApp, Instagram, Messenger, SMS) | $199/mo, 60,000 credits, 20 client sub-accounts; $349/mo Elite, 120,000 credits, unlimited sub-accounts | Full: branded dashboard, domain, Stripe client billing | Credit cost varies by model; carrier and WhatsApp fees are separate |
| Botpress | Web chat agents | $89/mo Plus; $495/mo Team | Shallow: widget watermark removal only. Studio and Dashboard stay Botpress-branded | Good for delivering bots, not for selling "your" software |
| Chatbase | Support / lead-gen bots | ~$99/mo branding-removal add-on on paid plans | Shallow: branding removal only, no client dashboard | No sub-account billing; clients can't log into "your" platform |
| CustomGPT.ai | Knowledge-base (RAG) chatbots | Standard plans from ~$99/mo; agency pricing via partner program | Deep: custom domain, custom SMTP, multi-tenant dashboards | Chat only, no voice or outbound actions; full vendor removal needs an SSO setup |
| BotPenguin | WhatsApp-first multichannel bots | From ~$1,200/yr | Full: custom domain, logo, unlimited bots and end clients on the entry plan | AI layer is more basic (flow-based, with a ChatGPT integration); higher tiers are quote-only |
| Voiceflow | Multi-client agentic workflows | Usage-based agency workspaces, quoted in-account | Full: white-labeling, client handoff tools, multi-client management | No published fixed-price tier table; confirm cost against your workload before committing |
| Pickaxe | AI agents and client portals with Stripe billing | From $29/mo (billed annually) | Full: custom domain and branding on every paid plan | Not a CRM; revenue share of roughly 8–10% on lower tiers |
For a broader look at platforms versus a custom build across the whole AI-agent category, see AI agents for agencies, and if support deflection is the actual job, our AI customer support guide covers ticket-side pricing and scope in more depth.
What's included, and what quietly gets added to the bill
The platform fee is rarely the real cost of running a white-labeled chatbot. Four layers sit underneath it, and any one of them can turn a $199 plan into a $600 one.
| Cost layer | Typical billing unit | What it quietly adds |
|---|---|---|
| AI usage | Per message, token, or credit | Stammer bills $0.001–$0.03+ per message depending on model; ConvoCore's 60,000 monthly credits cover roughly 15,000 messages on a mid-tier model and fewer on a premium one |
| Client capacity | Sub-account, workspace, or bot slot | ConvoCore's White Label tier caps at 20 client sub-accounts; Elite ($349/mo) removes the cap |
| Channel fees | SMS, WhatsApp, Meta delivery | Platform access is usually included; carrier charges, Meta business-messaging fees, and WhatsApp template costs are billed separately |
| Human handoff | Included feature vs. a second software seat | The bot can hand a conversation to a person, but that person still needs a seat in Zendesk, Intercom, or HubSpot — a bill the chatbot vendor doesn't show you |
| Compliance | Plan feature or enterprise add-on | Data residency, signed BAAs, and full vendor-removal (down to the SSO login screen) commonly sit behind the highest tier, not the entry one |
What to charge clients for a white-labeled chatbot
Client price for an SMB-grade chatbot runs $300–$1,500 a month, plus a setup fee of $1,000–$5,000 for scoping, knowledge-base ingestion, and integrations, according to Pickaxe's 2026 agency pricing breakdown. Platform fees of $29–$349 a month are the smallest number in that math, which is exactly why agencies who price at "2× our platform cost" leave most of the margin on the table.
With even five clients on a mid-tier plan, agencies commonly run 70–80% gross margins, per the same Pickaxe analysis. The spread holds because the client pays for an outcome — leads captured, tickets deflected, a booking made — not for the software seat underneath it. We keep current client-price and margin ranges by service line, including AI customer support specifically, in our AI services pricing benchmark.
Where white-label chatbots fail, and how to scope around it
Chatbots fail in three predictable places, and all three are scoping problems, not platform problems.
Hallucination without retrieval. A chatbot answering from a general model, with no client-specific knowledge base attached, will invent answers about pricing, policy, or stock the moment a real customer asks something specific. Ship with retrieval-augmented generation against the client's actual documents, not a prompt alone, especially for anything the client would be embarrassed to have gotten wrong in writing.
Handoff gaps. A chatbot that gets stuck and has nowhere to send the conversation loses the customer. Scope a clear handoff path to a human inbox before launch, and confirm who's staffing it — the chatbot platform's "handoff" feature is often just a webhook, not a person.
WhatsApp template rules. WhatsApp's Business Platform only allows free-form replies inside a 24-hour window after a customer messages first; anything a business initiates outside that window has to use a pre-approved message template. Agencies that build a WhatsApp bot assuming it behaves like web chat get messages blocked or accounts flagged. Confirm template approval and the 24-hour window with the platform before promising a client a WhatsApp launch date.
Scope every deployment against these three before quoting: what does the bot know, where does it go when it's stuck, and which channel rules apply.
When to have a custom chatbot built instead of reselling one
A licensed platform is the right call while an agency is validating the offer. It stops being the right call when any of these are true:
10 or more clients on chatbots, where per-sub-account and per-message fees now cost more than a custom build would to run.
Client-specific integrations a platform doesn't support natively — a proprietary CRM, an internal booking system, a legacy ticketing tool.
Data residency or compliance requirements a platform's plan tiers don't cover at the price the agency can afford.
Accuracy-critical verticals — legal, medical, financial — where a rented platform's retrieval and guardrails aren't built to the standard the client needs, and a wrong answer is a liability, not an inconvenience.
Below that line, license a platform from the comparison above and get selling. Above it, the math and the risk have both flipped toward owning the thing outright.
How a custom white-label chatbot build works
We build the chatbot under your brand, hand over the code and documentation, and stay on for delivery if you want us to. Your client sees your agency; we're invisible under NDA.
A typical engagement runs in three phases.
Phase 01
Discovery
we map the knowledge base, the channels (web, WhatsApp, or both), and the handoff path to your team or the client's.
Phase 02
Build
retrieval against the client's real documents, the branded chat interface, and the handoff and analytics layer.
Phase 03
Live
first client onboarded, monitoring in place, handover documented.
Most agencies have a first client live on a single chatbot inside 30 days.
The same build patterns apply to broader agent work — see AI agents for agencies and our white label AI agents guide for how chatbots fit into a wider agent line-up.
Frequently asked questions
How much does a white label AI chatbot cost?
Platform fees run $29–$349 a month for the tools most agencies license, plus AI usage priced per message or credit. Clients typically pay $300–$1,500 a month for an SMB-grade deployment, with a $1,000–$5,000 setup fee, according to Pickaxe's 2026 agency pricing data. Channel fees for SMS and WhatsApp, human-handoff seats, and compliance add-ons sit on top.
Can I white label ChatGPT?
Not ChatGPT the product. You can build a branded chatbot on top of OpenAI's models (or Anthropic's or Google's) through their APIs, which is exactly what every platform in the comparison above does. Clients see your interface and your brand; the underlying model is a supplier, not something you can rebrand directly.
Do clients know it's not my platform?
With a true white-label setup — a branded dashboard, a custom domain, client billing under your name — no, there's nothing to find. With a branding-removal tier like Chatbase's add-on, a technically savvy client could spot the vendor in the infrastructure, but most never look. The gap between those two experiences is exactly the three-depth distinction covered above.
What's the difference between a chatbot and an AI agent?
A chatbot answers questions and follows a conversation; an AI agent takes actions — booking an appointment, updating a CRM record, triggering a workflow — based on that conversation. Most of what agencies sell as "chatbots" today have some agent behaviour built in (a booking action, a handoff trigger), which is why the category boundary keeps blurring. See our white label AI agents guide for where the line actually sits.
What's the difference between white-label chatbot pricing and a reseller program?
A reseller sells the vendor's own branded product for a commission. A white-label chatbot carries your brand end to end, and you set the client price and own the relationship. White-label margins run higher — commonly 70–80% at five or more clients — because you're not splitting revenue with the vendor on every account.
How long does it take to launch a white-labeled chatbot?
With a licensed platform, a first client can be live within days to two weeks once the knowledge base is loaded and branding is set. A custom-built chatbot, scoped to a client's own documents and systems, typically launches its first client inside 30 days.
When should an agency build its own chatbot instead of licensing one?
Once it has 10 or more chatbot clients, needs an integration no platform supports natively, serves an accuracy-critical vertical like legal or medical, or has been hit by a pricing or feature change on a rented platform that it doesn't want to absorb twice. Below that, licensing is faster and cheaper to start.
Want a chatbot you own, not one you rent?
Book a 30-minute working session. We'll scope the chatbot you want to sell, tell you honestly whether a licensed platform is the better call right now, and if a custom build makes sense you'll leave with a written price range and a 30-day plan.