An agent stack that makes a recruitment firm impossible to miss

In recruitment, discoverability is the business. Candidates and clients do not work through a directory. They trust who shows up in their feed, who keeps appearing in the conversations that matter, and who feels like an authority in their space.

For Nicholson Glover, the question was whether a five-person team could show up on LinkedIn consistently, sharply, and at enough volume to own the signal in their category.

• The old way of running a LinkedIn presence consumed more than 10 hours a week per operator across research, drafting, and posting.
• There was no clear read on what was actually breaking through in the market, who the important creators were, or which formats were performing.
• Posting happened in bursts rather than as a system, which is not a real discoverability strategy.

Ghost Team designed and built Nicholson Glover's agent stack end-to-end through a three-day proof-of-value sprint and then rolled it into live production.

• Every Monday morning, agents scan the recruitment category on LinkedIn and cluster the posts that are actually cutting through.
• The system tracks the creators setting the pace and generates original content in Nicholson Glover's voice grounded in what the market is already responding to.
• By 9am on Monday the team sees a ranked, editable queue with the research already done.
• The result is an always-on system that listens, learns, and produces signal inside the feed that decides whether a recruitment firm gets found.

Nicholson Glover is not just posting more. They now have agents building the surface that makes them the name their market runs into first.

• Across the five-person team, content work fell from more than ten manual hours a week to minutes of review.
• Within the first two weeks, one post alone drove more than 300,000 impressions and 200 to 300 new followers.
• The system now compounds discoverability each week by reading the market, adapting, and shipping.
• Even the quietest sceptics on the team became power users, showing the system fit the actual work.