Custom branding
Apply your logo, colors, copy, and visual presentation across the workspace and widget so clients experience the assistant as part of your own offer from first touch to ongoing support.
Feature
Answer customer questions from your own business information.
Context
The practical reason to use it.
White-label is for businesses that want to deliver branded website AI without making the platform vendor the center of the client relationship. The experience needs to look, feel, and read like part of your service so clients trust the launch and know who owns delivery.
That means more than hiding a logo. Agencies still need client workspace isolation, approved source control, access boundaries, launch checklists, conversation review, reporting, renewal conversations, and escalation ownership.
The strongest white-label offer is tied to a clear client outcome: answer website visitor questions, collect qualified intent, reduce support load, improve resource discovery, or show content gaps from real conversations.
How it works
A step-by-step look at the workflow.
Apply your brand, domain, workspace presentation, and assistant styling so the client experience matches your offer.
Create a client-specific source set, launch path, access model, and reporting cadence around the visitor questions that matter most.
Deliver the assistant as part of your implementation or managed service, including source review, handoff setup, and launch support.
Scale the offer across clients while keeping data, branding, access, conversations, and reporting separated per account.
Review renewal, support, content gaps, and escalation ownership so the branded AI service stays useful after launch.
Coverage
Brand control only matters when the underlying delivery model also supports client isolation, commercial packaging, and operational ownership after launch.
Apply your logo, colors, copy, and visual presentation across the workspace and widget so clients experience the assistant as part of your own offer from first touch to ongoing support.
Serve the assistant from a client-specific domain so procurement, onboarding, and everyday usage stay inside the brand environment customers already recognize and trust.
Keep each account isolated with role-based access, separate knowledge sources, and clear operational ownership so one client deployment never leaks into another.
Package setup, recurring service, and usage pricing in the way your agency or SaaS business already sells, instead of forcing every client into the platform vendor’s default commercial model.
Coverage
A credible white-label offer has to cover renewal conversations, support ownership, and client-specific governance, not just front-end presentation.
Separate data, prompts, and operator access per client so the branded delivery model remains safe for agencies managing multiple accounts at once.
Keep a clear line between what your team manages centrally and what each client can review, approve, or update inside their own deployment.
Use conversation and rollout data to show clients what the assistant handled, where handoff happened, and how the branded AI service is improving over time.
Outcomes
The first improvements you should notice.
Product details
Review current plan details, product capabilities, and verified customer reviews.
White-label included — never a paid add-on. Copyright removal from $98/mo. Full white-label — custom domain, branded portal, your-domain emails — from $198/mo.
Training runs on your sitemap, PDFs, docs, and YouTube transcripts. Answers cite the source pages they came from.
Five clients at $300/mo on a $198/mo Agency plan is $1,300+ of monthly margin before usage.
Questions and answers
Practical answers about deliver branded assistants for clients.
Yes. White-label is meant for agencies and service providers that package the assistant as their own offer while keeping the client relationship and commercial packaging under their brand. One $198/mo Agency plan covers 20 client assistants, extra agents and seats are $10/mo each, and InsertChat never takes a cut of what you charge.
The goal is to let you present the experience under your own brand and domain, so clients experience the assistant as part of your service instead of as a separate third-party tool. That matters for trust during procurement, launch, and ongoing review.
Yes. SaaS teams can use it when client-facing AI delivery should feel native to their product, especially when customers expect consistent branding, dedicated environments, and a clear owner for support and account changes.
Related resources
Use vision to give customers better answers while keeping your business information and handoff rules under control.
Use voice to give customers better answers while keeping your business information and handoff rules under control.
Use workflows to give customers better answers while keeping your business information and handoff rules under control.
Use build a branded assistant from approved sources to give customers better answers while keeping your business information and handoff rules under control.
Browse more features related to White label: Deliver branded assistants for clients.
Evaluate InsertChat against other platforms using consistent product criteria.
Understand the concepts behind assistants, retrieval, models, and automation.
Find practical assistant setups organized around business goals and visitor journeys.
Compare workflows for industries, teams, and customer-facing jobs.
Explore focused tasks an assistant can handle across channels and operating modes.
Paste your website, test the answers, and launch in five minutes. Start with the website assistant or set up a receptionist for your calls.