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AgenciesAI implementation case study
Agencies – B2B Tech PR Firm: Earned Media & Analyst Relations AI
AI for journalist targeting, pitch personalization, newsjacking monitors, and coverage reporting.
This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.
Key takeaway
PrimeAxiom automated earned media workflows with AI agents researching, drafting, and alerting—not generic blasts.
The engagement
From operational friction to a connected AI system
01 · Context
Business overview
Industry: B2B tech PR. Complexity: long-cycle relationships.
02 · Challenge
Core problem
Generic outreach, slow news response, reporting burden.
03 · Approach
Solution
PrimeAxiom deployed PR AI: AI-built journalist interest graphs, personalized pitch drafts with human review, real-time newsjacking alerts with draft statements, and automated coverage digests.
04 · Impact
Results
Reply rate +31%; story placement lead time −42%; analyst briefing prep −58%; account team research hours −49%.
System design
The full automation system
The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.
Graph Agent, Pitch Agent, Newsjack Agent, Coverage Agent.
Workflow
How the automation runs
1. Client goals.
2. AI maps journalists.
3. Pitches drafted.
4. News alerts.
5. Rapid response drafts.
6. Human edits.
7. Coverage rollup.
Intelligence layer
AI agents and decision logic
Research Agent, Writer Agent, Alert Agent.
Under the hood
Technical architecture
Media DB + RSS, LLM with tone controls, send-time optimization.
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