CASE STUDY / AI CLIENT ACQUISITION + CONTENT AGENT / PR FIRM
How a PR firm went from 1–2 meetings a week to 3–4 a day.
We built an AI client-acquisition system that combined targeting, outreach infrastructure and message testing with a content agent that produced personalized work samples. The acquisition engine created conversation volume; the content agent gave prospects tangible proof before the sales call.
01 / Problem
Premium work presented like a commodity service.
The firm delivered high-value strategic work, but its outbound message sounded like every competitor in the category. Prospects were asked to believe a promise before seeing evidence, and the sales team arrived at calls with little more than a standard presentation.
At the same time, damaged email infrastructure restricted reach. The business was generating only one or two meetings per week and could not scale acquisition without sacrificing relevance.
The challenge was to demonstrate the quality of the work before asking a prospect to buy it—and to do that repeatedly without adding hours of manual research to every opportunity.
02 / Solution
One system to create demand—and prove the value before the call.
We rebuilt the client-acquisition engine and placed an AI content agent inside it, so the firm could create more conversations without returning to generic, high-volume outreach.
- Rebuilt sending infrastructure so outreach could scale reliably to 2,000 emails per day.
- Identified underused data sources and targeted companies with a credible need for premium PR.
- Tested multiple messages and repositioned outreach around authority, premium pricing and client acquisition.
- An AI content agent researched each prospect’s company, positioning and communication opportunities.
- The agent drafted a tailored PR work sample, which a specialist reviewed and approved before the sales call.
- Campaign and sales feedback improved targeting, messaging and the agent’s future outputs.
The acquisition system generated demand and booked meetings. The content agent made the offer tangible, helping the sales team convert those conversations with real work instead of an abstract promise.
An AI acquisition engine with personalized proof built in.
The engine creates and qualifies conversations. The content agent prepares proof. The specialist protects quality and closes the work.
The client-acquisition engine drove targeting, message validation and meeting volume. The content agent prepared a personalized proof asset for each opportunity. A human specialist approved the work and led the sales conversation.
03 / Outcome
More conversations from the engine. Better sales proof from the agent.
- The client-acquisition system increased meetings from 1–2 per week to 3–4 per day.
- The validated outreach engine achieved a 19.5% reply rate.
- Personalized work samples gave the sales team tangible proof on calls and supported stronger close conversion.
- The firm closed five engagements worth $42,000 in four months.
- A further $120,000 entered active pipeline.
Attribution note: Meeting volume and reply rate reflect the client-acquisition engine: infrastructure, targeting, positioning and outreach. The content agent contributed at the sales-conversion stage by creating personalized work samples. No isolated close-rate percentage was recorded for the agent alone.
CLIENT ACQUISITION / AI CONTENT AGENT
Build an acquisition engine that proves the value before the pitch.
We will connect targeting, outreach and message testing with AI agents that prepare useful, prospect-specific work for your sales team to review and use.
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