Turn your agency into a lead gen product company
white label ai lead generation is the process of packaging AI-driven prospecting, qualification, and outreach into a branded product an agency can sell to its clients. Pixalab provides the infrastructure and no-code agent builder so agencies can create an AI agent with a defined identity, connect it to tools and publish it under their brand. Agencies manage pricing, client invites, and the client billing relationship while Pixalab handles the multi-tenant infrastructure, authentication, and automated revenue split. This guide focuses on practical setup, the core capabilities to include, positioning to clients, and the mechanics of selling a white-label marketing product.
What you'll learn:
- → Build and brand an AI lead gen agent without engineering using Pixalab's agent builder
- → Publish a single focused agent app per agency, iterate drafts without affecting live clients
- → Invite clients via secure, time-limited links and let them subscribe under the agency's pricing
- → Agency controls pricing and receives client payments directly; Pixalab collects a platform fee automatically
What is white label ai lead generation?
white label ai lead generation is an agency-owned, branded AI product that performs lead identification, initial outreach, and qualification workflows for a client's sales pipeline. Unlike a generic chatbot, it is configured and published by an agency under its own branding and sold to end clients as the agency's product. Pixalab supplies the tenant workspace, authentication, agent builder, and the client invitation and billing flows needed to operate this product at scale.
- ▹ Agency-owned branding (name, logo, favicon, primary color) so clients see the agency brand
- ▹ Single agent app per agency to keep the product focused on lead gen outcomes
- ▹ Publish/draft workflow enabling safe iteration without affecting live client interactions
- ▹ Client invite and provisioning through secure, expiring links with scoped visibility
- ▹ Client-facing subscription billing with agency-configurable pricing and automatic platform fee
Who should offer white label AI lead generation?
This product is suited for agencies that want a productized, recurring offering without building infrastructure. It fits teams that sell marketing, sales enablement, or outsourced outreach and want to scale beyond hourly services.
Marketing agencies
Agencies that already run campaigns and outreach for clients.
Use case: Package lead gen automation as a subscription product for SMB clients.
✓ They can reuse templates and offer a recurring service with minimal engineering.
Boutique consultancies
Consultants who provide strategy and want to add a productized execution layer.
Use case: Offer a branded agent that qualifies leads and surfaces opportunities to the consultancy.
✓ Consultancies can demonstrate clear deliverables and recurring value.
Channel resellers
Firms that white-label technology and services to end clients.
Use case: Resell a branded lead gen agent as part of a managed services bundle.
✓ They can bundle the product with existing services and billing relationships.
Freelancers and small teams
Small operators who lack engineering resources.
Use case: Launch a lead gen product quickly and scale without hiring developers.
✓ Tenant provisioning and no-code builder remove infrastructure barriers.
Signs your agency should build a white-label lead gen product
Look for operational signals that indicate a productized lead gen service will create value and scale. If you see multiple signs, prioritize launching a focused agent and inviting an initial client cohort.
You repeatedly perform the same outreach workflows for multiple clients
If templated scripts, qualification questions, and cadence sequences are a recurring engagement element, they are good candidates to productize.
Clients ask for a lower-cost, steady lead source
Clients who cannot afford retainers still need dependable lead flow; a subscription product provides a lower-touch offering.
Engineering resources are limited
If building integrations and authentication would take months, a white-label platform removes that blocker.
You want recurring revenue without building billing infrastructure
Use client-facing subscription billing and automatic revenue split to get recurring income without manual payout processing.
You need to iterate outreach scripts safely
Draft/publish workflow enables testing improvements without affecting clients currently using the product.
How to evaluate white label platforms for lead gen
Compare vendors on core capabilities that affect time-to-market, client experience, and go-to-market economics. Ask targeted questions that reveal if the platform supports an agency-first, white-label product model.
No-code agent builder
Reduces engineering time and lets non-technical staff configure agent identity, skills, and workflows.
Questions to ask:
- • Can I define personality, skills, and tool access without code?
- • Does the builder produce a publishable agent without manual prompt engineering?
White-label branding and custom domain
Clients must see your brand, not the platform, to preserve agency value and credibility.
Questions to ask:
- • Can I customize name, logo, favicon, and primary color?
- • Is a reserved slug provided for custom domain support?
Client invitation and scoped provisioning
A frictionless invite and scoped access protect agency IP and ensure clients only see what is published.
Questions to ask:
- • Are client invites via secure, time-limited links available?
- • Do clients only see published agents and not draft work?
Billing and revenue flow
Agencies need control over client pricing and direct receipt of payments with an automated platform fee.
Questions to ask:
- • Can clients subscribe directly and pay the agency's connected account?
- • Does the platform take a transparent fee on each transaction?
Draft/publish workflow and versioning
Safe iteration keeps client experiences stable while allowing agencies to improve their product.
Questions to ask:
- • Does the platform track draft and published states independently?
- • Can I republish updates without interrupting active clients?
How it works: build, publish, invite
Sign-up and tenant provisioning
An agency authenticates with Google OAuth. On first sign-in a dedicated tenant workspace is automatically provisioned for the agency — no manual setup required. This workspace is isolated and holds the agency's published and draft agent configurations.
Tools: Google OAuth, Multi-tenant architecture, Tenant provisioning
Agent creation via the builder wizard
Use the guided wizard to define agent identity, personality, professional standards, tool access, and specific lead gen skills (prospecting, qualification scripts, outreach templates). The wizard produces a configured agent ready to publish without writing prompts or code.
Tools: Agent builder wizard
Branding and publish
Customize the app name, logo, favicon, and primary color so the experience is fully white-labeled. Save changes to draft while you test workflows, then publish when ready. Published and draft states are tracked independently so live clients see only the published version.
Tools: Branding customization, Publish/draft workflow, Custom domain slug, Logo and favicon
Invite clients and enable subscription billing
Invite clients from the dashboard using secure, time-limited links. When clients accept, they sign in with Google and provision into the agency workspace scoped to the published agent. Clients can view credit balances and subscribe to the agency's plan directly from their settings; the platform handles automatic revenue split.
Tools: Client invitation system, Client-facing subscription billing
Capabilities to package in your lead gen product
Prospect discovery and enrichment
The agent can generate targeted prospect lists and enrich records with firmographic details and contact signals based on prompts and integrated tools configured in the builder.
Example: Agent generates a list of 50 mid-market CTOs in a specific geography and appends company size and technology stack fields.
Qualification conversation flows
Pre-built qualification scripts and decision trees inside the agent that surface priority leads and route lower-value leads to nurture sequences.
Example: Agent asks budget, timeline, and authority questions and flags leads that match the client's ICP for sales follow-up.
Automated outreach templates and sequencing
Configurable outreach messages, follow-up cadences, and scheduling prompts the agent can use when conducting outbound outreach on behalf of a client.
Example: Agent sends a three-step outreach sequence and records replies, then notifies sales for live handoff.
Client-scoped access and reporting
Clients see only the published agent and their credit usage. Agencies can provide basic usage metrics so clients can evaluate ROI.
Example: Client reviews monthly credit consumption and sees number of qualified leads generated that month.
Safe iteration and updates
Draft state for experimentation lets agencies refine scripts and tools without disrupting client experience; republish when changes are ready.
Example: Agency tests a new qualification script in draft, measures results, and then publishes the improved flow to clients.
Benefits for agencies and their clients
Faster time-to-revenue
Because the agent builder and tenant provisioning remove engineering work, agencies can launch a product in hours or days instead of months.
Potential Result: Weeks to hours for initial product launch
Agency-controlled pricing and revenue flow
Agencies set client pricing and receive payments directly to their connected accounts while Pixalab deducts a platform fee automatically.
Potential Result: Direct client payments with automatic platform fee
Lower operating cost vs hiring full-time staff
Packaging lead gen as a product reduces reliance on manual outreach teams and lowers per-lead operational expense.
Potential Result: Reduced headcount or reallocatable FTE hours
Safe product iteration
Draft and publish states let agencies test improvements without interrupting live clients, preserving reputation and continuity.
Potential Result: Zero client downtime during updates
Realistic agency-client scenarios in General
Early-stage SaaS wants a steady stream of qualified demo requests
B2B SaaSBefore
Client relies on manual LinkedIn outreach and an overloaded founder handling demos
After
Agency publishes a branded lead gen agent that qualifies leads and schedules demos for the founder
Potential Result: Consistent pipeline of qualified demo bookings and fewer unqualified meetings
Agency reselling marketing services wants a packaged product to offer smaller clients
Digital AgenciesBefore
Services sold as hourly work with no recurring product
After
Agency offers a subscription to a branded lead gen agent that runs outreach for SMBs
Potential Result: New recurring revenue stream and clearer service value for small clients
Consultancy needs a scalable way to surface new client opportunities
Professional ServicesBefore
Network-based referrals with inconsistent volume
After
Agency's branded agent identifies and qualifies prospects, passing warm leads to partners
Potential Result: More predictable lead flow and higher conversion of outreach to paid engagements
Modern white-label lead gen vs traditional approaches
| Feature | Sintrocat | Traditional |
|---|---|---|
| Time to launch | Hours to days using no-code builder and tenant provisioning | Weeks to months building integrations and billing |
| Branding | Agency controls app name, logo, favicon, color | Service is delivered under the agency brand but lacks a resellable product |
| Client onboarding | Invite via secure, time-limited links; clients sign in with Google | Manual onboarding and account setup |
| Billing | Client subscribes in-app; agency receives payments directly; platform fee deducted | Manual invoicing or third-party payment recon |
| Iteration safety | Draft and publish states allow testing without affecting clients | Changes risk disrupting live operations or require separate staging |
| Operational overhead | Platform handles hosting, security, and multi-tenant isolation | Agency manages hosting, security, and maintenance |
Implementation checklist and best practices
✅ Best Practices
- • Start with one narrowly scoped agent focused on a single outcome (e.g., demo bookings)
- • Use draft state to test variations of qualification scripts before publishing
- • Be explicit about credit consumption and show clients credit balance in their settings
- • Set clear handoff criteria for when the agent passes a lead to human sales
- • Keep branding consistent across client-facing UI so the product feels owned
⚠️ Common Mistakes
- • Trying to support too many use cases in the first agent
- • Skipping draft testing and releasing unvetted flows to clients
- • Not specifying handoff rules, resulting in poor sales follow-up
- • Ignoring pricing controls and credit allocation, leading to surprises for clients
Frequently Asked Questions
What is white label ai lead generation?
White label ai lead generation is an agency-branded AI product that automates prospect discovery, outreach, and initial qualification. Agencies use a no-code agent builder to configure identity, personality, and skills, then publish the agent under their brand and invite clients. Pixalab handles tenant provisioning, Google OAuth authentication, publish/draft workflows, client invites, and client-facing subscription billing so agencies do not build infrastructure themselves.
How do clients access the branded lead gen agent?
Clients are invited by the agency through secure, time-limited links generated in the dashboard. Upon accepting the invite, clients sign in with Google and are automatically provisioned into the agency's workspace with visibility scoped to the published agent. They then interact with the agent through a clean, branded chat interface.
Can agencies test changes without disrupting live clients?
Yes. Pixalab provides a draft and publish workflow. Agencies can make changes in draft, test internally, and when ready republish. Draft states are invisible to clients until the agency publishes, enabling safe iteration of qualification scripts and outreach flows.
Who receives client payments for subscriptions?
Clients subscribe to the agency's plan directly from their settings. Payments flow to the agency's connected payment account; Pixalab automatically takes a platform fee on each transaction. This model allows agencies to control pricing and receive funds without manual payout processing.
Is development or DevOps required to launch a product?
No. The platform is designed to remove the engineering barrier. Agencies authenticate with Google OAuth, use the guided agent builder to configure skills and branding, and publish the agent — all without writing code or managing hosting and security.
How many agents can an agency publish?
The product today focuses on a single agent app per agency to keep the offering simple and focused. Agencies can iteratively update that agent using the draft/publish workflow and tailor it to different client segments through configurable skills.
What branding options are available?
Agencies can customize the app name, logo, favicon, and primary brand color. The agency's branding is reflected throughout the dashboard and client experience so end-clients never see Pixalab branding.
Is the platform available 24/7?
The platform is available 24/7 to provision invites, serve published agents, and handle client interactions. Infrastructure, authentication, and billing are managed by Pixalab so agencies can focus on product and client relationships.
Launch your white label ai lead generation product
white label ai lead generation is a practical path for agencies to create a recurring revenue product without engineering. Use Pixalab's tenant provisioning, agent builder, branding, client invites, and subscription billing to package and sell lead gen automation under your brand. Start with a focused agent, test in draft, invite pilot clients, and scale pricing as you validate results.