White-Label AI Agents for Agencies

Agencies can add AI agents to every client site from one platform — grounded in each client's own content, branded as the agency's or the client's, and backed by analytics that prove the value — turning a single tool into a repeatable service line. The model works because the hard parts scale across clients while the content stays client-specific.

Why agents are a natural agency offering

Agencies already build and maintain client websites, so adding an AI agent is a small extra step that creates a recurring, high-margin service. The agency manages one platform account, spins up an agent per client grounded in that client's docs and pages, and rolls it into a retainer. Because each agent answers only from its own client's content, there is no cross-contamination, and because setup is self-serve, a single account manager can run agents for a whole client roster without engineering help.

The recurring revenue is the appeal. Unlike a one-time build, an AI agent is an ongoing service — it needs re-crawling as content changes, tuning as questions surface, and reporting every month — which justifies a monthly fee and deepens the client relationship.

Multi-site, multi-tenant by design

The platform is built for managing many sites: each client is its own site with its own indexed content, its own widget config, and its own analytics. On the agency-tier plan, branding is removable or white-label, so the widget carries the client's brand — or the agency's — rather than the platform's. That lets the agency present the agent as part of its own service rather than reselling someone else's tool.

Proving the value every month

The analytics are what make this a defensible retainer. Each month the agency can show a client what visitors asked, how many questions the agent answered without a human, which questions went unanswered, and what content would close those gaps. That report does two jobs: it justifies the fee and it generates the agency's next piece of work — writing the content the analytics say is missing. The agent becomes both the deliverable and the source of the next deliverable.

Running it as a service line

Standardize the setup so it is repeatable: index the client's site, configure a grounded agent with the client's tone, brand the widget, and schedule a re-crawl. Then layer the monthly report and a tuning pass on top as the ongoing service. Price it as a setup fee plus a monthly retainer, and the agency turns a few hours of configuration into a recurring revenue stream across its entire client base, with the platform handling the infrastructure underneath.

Getting started

Start an agency setup on the AIML.chat free plan, then move to the agency tier for white-label branding and multi-site management. Read the agencies use case, see what is an AI agent, and compare tiers on the pricing page.