A white label chatbot lets you run AI chat under your own brand. Learn how it works, what it costs, which features matter, and how agencies resell it.
The short version
Introduction
Your website visitors have questions at 11 p.m. Your sales team is asleep. Your support inbox is full of the same five questions.
A chatbot can fix that. But building one from scratch takes months, a dev team, and a budget most companies don't have.
That is why so many businesses and agencies turn to a white-label chatbot. You get a proven chatbot platform built by someone else. Then you put your own brand on it and launch in days, not months.
This guide explains what a white-label chatbot is, how it works, what features matter, and how agencies turn white-label AI into steady income. We also compare popular platforms.
What Is a White Label Chatbot?
A white label chatbot is an AI-powered conversational agent built by a third-party provider. You license it, rebrand it, and offer it as if it were your own product.
The term “white label” comes from retail. A factory makes a product with a blank label. A store puts its own brand on it and sells it. The shopper only sees the store's brand.
Software works the same way. The vendor builds the chatbot platform, hosts it, and keeps it updated. You add your own logo, colors, bot name, and welcome message. When a visitor opens the chat window, the client sees your brand, not someone else's logo.
White Label vs Custom-Built vs Standard SaaS
There are three common ways to get a chatbot on a website:
For most companies, the white label option hits the sweet spot, and white label AI chatbots now cover most common needs. You skip the high upfront cost of custom development. You also avoid sending visitors a product that looks like it belongs to someone else.
Who Uses White Label AI Chatbots?
Two groups use white-label AI chatbots the most.
The first group is businesses that want a white-label AI chatbot as the AI assistant on their own site. They care about looking consistent. A support bot with the company logo and tone feels more trustworthy than a generic widget.
The second group is resellers. This includes the marketing agency, the web design studio, the IT consultant, and a growing number of AI agencies. A marketing agency, for example, buys a white-label package from a vendor, then sells chatbots and AI agents to clients under its own brand.
How a White Label Chatbot Works
On the surface, it looks simple. A visitor types a question into a chat bubble and gets an answer. Behind that bubble, a few layers work together.
The AI Layer
Modern AI chatbots rely on large language models. These models use natural language processing to understand what a visitor means, even when they phrase it in a strange way.
Most quality platforms also use retrieval-augmented generation, often called RAG. When someone asks a question, the bot first searches your approved content for relevant facts. Then it writes an answer based on those facts. This keeps replies tied to your business, not the open internet.
Your Knowledge Base
The knowledge base is the bot's source of truth. You can usually train white-label chatbots on:
The better your content, the better the answers. A bot trained on thin or outdated pages will give thin or outdated answers.
Branding Control
This is where white label AI earns its name. Custom branding on a good chatbot platform lets you set:
Some white-label chatbot platforms go further and remove every trace of the vendor, so the client sees only your brand. That is called full white label branding. Others show a small “powered by” badge. Check which one you get before you sign up.
Deployment
Once the bot is set up, most tools give you a short script to paste into your site's code. Many also support channels beyond the website, like Facebook Messenger, WhatsApp, or SMS.
Reseller platforms often let you host the whole dashboard on a custom domain. That way, your clients log into a portal at your own domain and never see the vendor's name.
Why Businesses Choose a White Label Chatbot
Building AI in-house sounds appealing, but the costs pile up fast. Here is why many teams pick white label chatbot solutions instead.
Faster Time to Market
Custom chatbot projects can take months. You need to plan, build, test, and fix bugs.
A white label chatbot is ready to deploy without great technical skills. The engine already works. You only need to brand it, train it, and install it. BotPenguin, for example, tells partners they can launch its white-label platform in 12 hours.
Lower Costs
White label solutions let businesses deploy advanced conversational tools at a fraction of the cost of custom development. You skip the salaries of AI engineers who would otherwise build the chatbot platform.
The vendor also maintains the underlying infrastructure: hosting, security patches, uptime, and AI model upgrades. When a better model comes out, your bot improves without extra work.
This cost efficiency matters most for small and mid-sized companies. They get the same AI automation that enterprise teams build in-house.
Full Control of Your Brand and Customers
With a white-label chatbot, you keep full control of how the product looks and who owns the customer relationship. Visitors talk to “your” assistant. Agencies keep their clients' trust because clients never see another company's name. It also means you set your own pricing.
Data and Insights
Many white label services include conversation logs and analytics. You can see what visitors ask, where the bot struggles, and which pages lead to chats.
That customer data is gold. It shows gaps in your website content and tells you what buyers care about most.
Many Brands, One Platform
A white-label platform can support many deployments at once. An agency might run 20 bots for 20 clients. A company with several product lines might run a separate bot for each brand. Some reseller plans even offer unlimited bots.
The Market Behind White Label AI
Multiple market research firms project fast, sustained growth for the chatbot market over the next decade, alongside the wider AI agent and automation space.
MarketsandMarkets sizes the global chatbot market at $5.4 billion in 2023, rising to $15.5 billion by 2028 at a CAGR of 23.3%.
The wider conversational AI space is growing too. A MarketsandMarkets forecast published in 2021 projected the conversational AI market would reach $18.4 billion by 2026.
For businesses, this means customers now expect instant answers. For any marketing agency, it means a large pool of clients who want AI chatbots and AI automation but don't want to build them.
Common Use Cases for White Label Chatbots
The same engine can handle very different jobs, depending on how you train it.
Customer Service
This is the most common use. The bot answers routine customer inquiries around the clock. Think order status, hours, pricing, and return rules.
When a chatbot handles repetitive questions, your team spends less time on copy-paste replies. Operational costs drop, customers get faster answers, and customer engagement goes up when the bot greets visitors on key pages.
Lead Generation
A chatbot can capture leads while you sleep. It can ask a few questions to qualify leads, collect a name and email, and pass hot prospects to sales. This works well on pricing pages, where visitors are close to buying.
Appointment Booking and AI Receptionist
Clinics, salons, law firms, and home service companies use chatbots as an AI receptionist. The bot answers questions, checks availability, and books time slots.
Some platforms now pair chat with AI voice agents that answer phone calls the same way.
E-Commerce Support
For e-commerce stores, a bot can suggest products, answer sizing questions, and explain shipping.
Local Services
Local businesses often have small teams and lots of repeat questions. A chatbot on the website of a plumber, dentist, or gym can answer “Do you work weekends?” a hundred times a month without anyone lifting a phone. Agencies that serve local services see steady demand here.
From Chatbots to White Label AI Agents
The market is shifting from simple chatbots to AI agents. A classic chatbot answers questions. An AI agent can also take actions. It might book a meeting, update a CRM record, or send a follow-up email.
Many vendors now sell white-label AI agents and chat agents from the same dashboard. Some add voice agents that answer calls and route callers, plus AI-powered automation for follow-ups.
For agencies, this means you can sell AI agents for chat, voice, and internal tasks from one AI agent platform. BotPenguin, for example, now lists white-label AI voice agents next to its chatbot program.
That said, start simple. A well-trained chat agent on a client's website often delivers value fast. You can add voice and automation later.
How Agencies Sell AI Agents With a White Label Package
For agency owners, white-label chatbots are a way to add a new service without hiring developers. Here is how most agencies approach it.
Pick a Niche
Selling “AI chatbots for everyone” is hard. Selling “AI chatbots for dental clinics” is much easier.
A niche lets you build one strong template, reuse it, and speak your client's language. Real estate, healthcare, legal, home services, and e-commerce are popular starting points.
Choose Your Pricing Model
White label means you set your own pricing. Common approaches include:
How much can you charge clients? It varies by niche and scope. Voiceflow notes that a single well-designed AI agent can carry a retainer of $1,000 a month or more. Start with what your market can bear, then charge clients more as you prove results.
On the cost side, platform prices vary widely. BotPenguin's white label plans start at $600 a year. ProProfs Chat offers a white label package for $300 a year as an add-on to its Team plan. Enterprise plans from other vendors are quote-based. Those enterprise plans often add SSO and higher usage limits, so they cost much more.
Keep your client revenue well above your platform cost, whether you pay for starter or enterprise plans, and remember to price in your time for setup, training, and support.
Land Your First Client
Your first client is often someone you already work with. If you build their website or run their ads, offer a chatbot as an add-on.
Some agencies offer free trials to prove value. Run the bot for two weeks, then show the client how many questions it answered and how many leads it captured. With your first few clients, collect results for case studies.
Manage Clients From One Place
Look for strong client management tools. The best reseller platforms give you a single dashboard and a client portal where each business can see its own bot, chats, and reports.
Good partner support also matters. When a bot breaks, you need fast help from the vendor so you can fix it before your client notices. Larger plans sometimes include a dedicated account manager.
Build Recurring Revenue
The real payoff is recurring revenue. Monthly retainers add up to a stable base for your business.
Some platforms, like BotPenguin, advertise zero revenue sharing. That means you keep 100% of what you charge your clients.
Features to Look for in a White Label Chatbot Platform
Use this checklist before you commit to any white label chatbot platform.
Full White Label Branding
Can you remove the vendor's name everywhere? Check the chat widget, emails, login pages, and help docs. If you plan to resell, the vendor should stay invisible. If you only need a branded bot on your own site, a small badge may be fine.
Custom Domain
For resellers, a custom domain is a must. Clients should log in at your own domain, not the vendor's.
No Code Chatbot Builder
A no-code chatbot builder lets non-technical staff build AI chatbots and edit them for clients without writing code. A visual chatbot builder also makes client changes quick.
Knowledge Base Training
The bot should learn from your website, documents, and FAQs. It should also stay inside that content. A bot that makes up facts can hurt your brand fast.
Human Handoff
No bot answers everything. When a question is too complex, or a visitor asks for a person, the chat should pass smoothly to a human.
Lead Capture and Analytics
Look for built-in forms to capture leads, plus reports on chat volume, common questions, and conversions.
Multi-Channel Support
If your clients live on Facebook Messenger, WhatsApp, or Instagram, make sure the platform supports those channels. Some vendors also offer branded mobile apps for resellers.
Security and Compliance
If you serve healthcare, finance, or legal clients, check for certifications like SOC 2 and support for HIPAA or GDPR. Ask where customer data is stored and who can access it.
Finally, look at the full pricing model. Are there caps on messages, bots, or seats? Is a paid plan required for white label features? Hidden limits can wipe out your margins.
White Label Chatbot Platforms Compared
Here is a quick look at several well-known white label chatbot platform options. Features and prices change often, so confirm details on each vendor's site before you buy.
BotPenguin. One of the most complete white-label programs for agencies, with your brand, domain, and pricing. Partners get unlimited client accounts and can create sub-user accounts for each client's team. BotPenguin says partners keep 100% of every sale with zero revenue sharing, and it reports more than 250 active partners.
Voiceflow. A builder for custom AI agents across chat and voice, with white-labeling and client handoff tools. Voiceflow says more than 200 agencies use it to offer a branded agent builder to their clients.
ProProfs Chat. A live chat tool with AI chatbot features. Its $300-a-year white-label package removes the “powered by” links.
Kore.ai. Built for large enterprises in banking, healthcare, and retail. It focuses on security and highlights SOC 2 and PCI compliance. It suits big companies on enterprise plans more than small agencies.
Aimate Chat: A Branded AI Chatbot for Your Own Website
If you want a chatbot on your own site, under your own brand, Aimate Chat is worth a look. Aimate is known for AI citation tracking across ChatGPT, Gemini, Claude, and Perplexity. Its website chatbot is built on the same idea: accurate answers you can trust.
Your Brand on Every Chat
The chat widget shows your logo and brand colors. You set the welcome message and where the widget sits on the page. Visitors see your assistant, with a small “Powered by Aimate” badge that appears on every plan.
Answers Only From Your Business
Aimate Chat answers only from your business profile, your website, and your knowledge base. It is scoped strictly to your company and only your company, so it stays on topic and does not make up answers.
Knowledge base answers are free and unlimited. They do not count toward your monthly AI replies.
Human Handoff When It Matters
When the bot isn't sure, or a visitor asks for a person, it hands the chat to your team. Conversations land in a team inbox with assignment, internal notes, saved replies, and resolution tracking.
Lead Capture Without Friction
Aimate asks for a name and email only when a visitor wants to talk to a person. Casual browsers can ask questions without filling out a form, which keeps customer engagement high.
Proactive Triggers and Live Visitors
You can set messages to appear on specific pages when visitors linger. A live visitor view shows who is on your site right now, which page they are on, and how long they have been there.
Quick Install on Any Site
Setup takes one script tag. It works on WordPress, Webflow, Shopify, Wix, or any custom site. You can also export conversations and leads as a CSV file.
Pricing
Aimate Chat costs $83 per month billed yearly, or $99 per month billed monthly. That includes 1,000 AI replies a month and every chat feature above. Aimate's Starter and Growth AI visibility plans also include the chatbot widget. You can try Aimate free for 7 days with no credit card required.
Aimate Chat is built for businesses running a chatbot on their own site. If you are an agency that needs a full reseller program with a custom domain and a client portal, a dedicated reseller platform like BotPenguin may fit better.
Want a branded chatbot that never makes things up? Start your free Aimate trial and see it answer questions from your own content.
How to Launch a White Label Chatbot in 7 Steps
Common Mistakes to Avoid
Most agencies and businesses make the same few mistakes when they deploy AI chatbots:
Final Thoughts
A white label chatbot gives you proven AI under your own brand. Businesses get faster support and more leads. Agencies get a service they can sell again and again.
The key is choosing the right white label option for your goal. Resellers need complete vendor removal, a custom domain, and strong client tools. Businesses that just want a smart, on-brand bot on their own website need accuracy, human handoff, and easy setup.
Start small, train the bot on great content, and review the results often.
