Client acquisition
How to get clients for an AI automation agency
Define an evidence-backed ICP and qualify prospects with a ready-to-use agency operating workbook.
Read moreLIAM field library
Qualified calls should not depend on luck.
If you run an AI automation agency, you need buyers who fit your offer—not a bigger spreadsheet or another generic pitch. The desired outcome is a repeatable path to relevant conversations you can confidently lead. Start with the guides below: define your buyer, qualify and reach them with LIAM’s outreach framework, then use our consultative call questions to turn fit into a clear next step.
See how LIAM handles AI agency lead research and booking for you
LinkedIn outreach
A warm LinkedIn outreach playbook that earns the conversation
Prepare the profile, research buyers, and track a respectful four-beat sequence with a downloadable outreach workspace.
Read moreSales calls
A consultative sales call framework for AI agency founders
Run discovery before presentation, reflect the problem accurately, and use a free consultative-call operating toolkit.
Read moreOngoing client revenue
From one-off projects to ongoing AI agency revenue
Find the right moments to discuss continued support and scope a clear offer. Includes a PDF guide and an agency operating workbook.
Read moreLead intelligence
How LIAM and Sales Navigator work together
Use search to build the candidate pool, then qualify, prioritize, and hand off leads with a free Sales Navigator workspace.
Read moreAnonymized case study
What happened in one focused 10-lead outreach sprint
A transparent breakdown of an unusually strong internal result, with a free tracker for running your own evidence-led sprint.
Read moreClosing case study
How a technical consultation became a client engagement
An anonymized, non-typical consultation example with a free technical assessment and scope-planning workbook.
Read moreFree discovery checklist
Discovery call questions for AI agency founders
Diagnose the buyer's real problem, define a useful outcome, and prepare a scoped next step with a discovery workspace.
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