Before this ever became something we built for other agencies, it was something we built because our own PR work needed it. That distinction matters, because it means the numbers below came from running our own client work, not from a demo built to look good.
The problem we were actually solving
Target research and pitch angle development for our health-vertical PR work was landing almost entirely on one senior person, the same bottleneck we now see at nearly every agency we talk to. The work was not hard to describe. It was hard to hand off, because it depended on pattern recognition built over years of coverage and relationships, not a checklist anyone could follow.
What we built instead of trying to train that pattern recognition into someone new
A system that handles the research, target identification, and first-draft pitch angle work that used to consume hours before a single pitch went out, built directly on how our team actually researches and pitches, not a generic template.
The actual result
Running this against our own live client work, we are seeing an average of roughly ten hours a week freed up on research and pitch drafting, time that now goes into the parts of the work that actually require judgment. Refining angles. Building relationships. The conversations that were always going to need a person.
That number reflects our own current usage and will move as we keep refining the system. We are not publishing a rounder, more impressive-sounding figure because it would sound better. This is the real one.
What did not change
The relationships. The read on which reporter is worth a follow-up call this week versus next month. The judgment about which angle actually fits a specific outlet's current coverage, as opposed to what fit six months ago. None of that got automated, because none of that is the kind of task a system can do. It is the kind of thing a person who has done this for years does.
Why we are telling you this instead of just selling it
Because the honest version of this story is more useful to another agency founder than a polished one. If you are the senior person your whole team depends on for this exact kind of work, this is not a hypothetical benefit. It is the specific bottleneck we built this to remove, in our own agency, before we ever offered it to anyone else.
FAQ
How much time did the AI media relations system actually save?
Based on our own current usage, we are seeing an average of roughly ten hours a week freed up on research and pitch drafting specifically, with that number reflecting real client work rather than a projection.
Did this replace the actual relationship-building side of PR?
No. What changed was the research and drafting work that happens before a pitch reaches a relationship. The actual pitching, follow-up, and relationship judgment stayed exactly where it was.
Is this the same system available to other agencies?
Yes. What started as an internal fix for our own bottleneck became Media Relations Engine, built from the same process we use on our own client work.
Will another agency see the same time savings?
Results vary based on how much of this work was previously concentrated in one person and how your specific research and pitching process works, but the underlying bottleneck, senior time spent on research before judgment gets applied, tends to be a common pattern.
Why publish real numbers instead of a more impressive projection?
Because founders considering this kind of system are usually skeptical of vague claims, for good reason. A specific, honest number from our own usage is more useful than a rounder number that sounds better but was never actually measured.
If your team has the same senior-person bottleneck on research and pitch work, this is what Media Relations Engine was built to solve.
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