

1M+ LinkedIn Impressions with Agentic AI Systems

Key Results
The Client
Ghost Team, co-founded by Elliot Garreffa, builds and distributes AI-native applications - including ChatGPT Apps and Claude Connectors - that connect brands to 900M+ weekly users on leading AI platforms. They work with global agencies and brands to develop production-grade AI apps, guide them to market, and support long-term growth in an agentic commerce world.
To serve their clients at scale, Ghost Team needed their own marketing and content distribution to run on autopilot - especially on LinkedIn, where their audience of agency owners and marketing leads spends the most time.
The Problem
Ghostteam.ai needed to scale marketing automation for global agencies, including New Zealand's 4th largest agency, but manual processes were limiting growth. Their team was spending days on SEO content workflows, manually tracking market signals, and managing LinkedIn campaigns without systematic optimization. There was no way to continuously test and iterate on content performance, automate keyword optimization, or track market trends at scale. They needed intelligent systems that could work autonomously to drive impressions and surface insights.
The Solution
We built agentic AI systems that automate marketing workflows and continuously optimize performance:
- LinkedIn growth automation with reinforcement-style optimization loops for continuous testing and iteration
- SEO content pipeline that reduces multi-day workflows to minutes through automated keyword optimization
- Market intelligence system tracking 20+ daily signals with semantic clustering and trend detection
- Automated competitor monitoring and SEO/AEO intelligence for hidden tactic discovery
- 24/7 automated research and content generation systems
The Result
The LinkedIn automation drove 1M+ impressions for their Top Voice clients, with one account generating 300K impressions in its first 14 days - cold start, no existing audience. The system's reinforcement-style optimization loop was the differentiator: it didn't just schedule content, it tracked what performed, adjusted posting logic, and improved over iterations rather than running static playbooks.
The SEO content pipeline cut production cost by 95% and increased output by 400%. What had been multi-day manual workflows - keyword research, outline, draft, format, publish - compressed to minutes. Ghost Team could now serve agencies at a content velocity that wasn't previously possible with their team size.
The market intelligence layer runs 24/7, monitoring 20+ daily signals and 3+ competitors without anyone watching a dashboard. The product insight behind it: the highest-value information for a fast-moving AI agency isn't quarterly reports, it's what competitors are doing this week. Automated daily monitoring made that intelligence available continuously.