Challenges

In an environment where timely and relevant media outreach is critical, the customer’s existing PR research approach limited agility and effectiveness. 

Fragmented PR Research Ecosystem – The PR team relied on multiple tools and manual searches for conducting research, leading to inefficiencies, duplication of efforts and delays in building accurate media lists.  

Time – intensive Media and Journalist Discovery – The team identified relevant journalists, influencers, and outlets using extensive manual filtering. This resulted in delayed, slowing campaign execution, and increasing effort. 

Manual Vetting bottlenecks – The PR team vetted the media contacts manually to confirm their credibility, topic relevance, and recent activity. This created delays and increased the risk of missed media opportunities.  

Inability to Respond to Fast-Moving Trends – It was challenging for the customer to discover the latest media due to rapidly evolving news cycles and industry trends. Existing manual research lacked the speed needed to capitalise on emerging stories. 

Solution 

To address these challenges, our team developed an AI powered media discovery platform that uses multi-agent orchestration to automate and accelerate PR research from query to insight. 

Centralised and AI driven PR research – We developed a single intelligent platform which replaced fragmented enabling end-to-end media discovery. 

Natural Language based Discovery – We leveraged advanced AI-powered Natural Language Processing (NLP) to enable PR teams to find relevant journalists through simple, conversational queries, eliminating complex searches, and accelerating media discovery. 

Parallel Processing for Faster Turnaround – The platform we developed enables multiple searches and database queries to run in parallel, significantly reducing research time and allowing PR teams to respond rapidly to urgent media opportunities. 

Multi-Agent Orchestration for Accuracy & Speed – We ustilised multi-agent architecture led by a supervisor agent to coordinate multiple specialised agents across planning, execution, validation, and response generation, ensuring consistent and PR-ready outputs while accelerating research through parallel processing. 

Key Outcomes