Build 01 · PR-specific AI system

Remove the research bottleneck.
Keep the relationship human.

A proven, configurable AI system for PR teams that need to reduce research and first-draft time, standardize execution, and make senior judgment more valuable.

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In one sentence

Media Relations Engine is an Agency Owner Lab Build for PR agencies that supports media target research, list development, first-draft pitch angles, coverage checks, follow-up tracking, and client-ready reporting without replacing human judgment or journalist relationships.

The workflow

Research becomes a system.
Judgment stays human.

The Engine handles the repetitive structure around media relations so publicists can spend more time on relevance, relationships, timing, and the conversation.

Build 01 / live process mapHover, focus, or tap any stageTap a stage to expand
INPUT / CLIENT CONTEXTRELATIONSHIPS + JUDGMENT STAY HUMANOUTPUT / DECISION-READY
Investment + format
Pricing by configurationRequest scope + availability

Configuration and final fee follow the agency’s existing stack, beats, workflow branches, and adoption needs.

What is included.

Media target research by beat, client, and campaign
Structured media list development
First-draft pitch-angle support based on agency standards
Coverage checks and context capture
Follow-up and outreach-status tracking
Client-ready results reporting
Configuration, documentation, and team handoff
The operating result

More consistency without flattening the craft.

Media relations is not reducible to automation. The Build is designed to accelerate the structured work around human judgment—not erase it.

01

Lower research and first-draft delivery cost

02

More consistent process and output across account teams

03

Human review preserved where judgment and relationships matter

04

A documented system current team members and new hires can follow

Implementation

Configured around your team’s actual media workflow.

A proven base reduces discovery time. Configuration still matters because beats, standards, approval paths, and reporting expectations differ by agency.

01

Map

Review the current research, list, pitch, follow-up, and reporting workflow.

02

Configure

Adapt the engine to the agency's beats, standards, tools, and review process.

03

Test

Run representative client work through the system and correct weak outputs or missing controls.

04

Launch

Train the users, document ownership, and add embedded adoption support when needed.

Optional adoption layer
Add-on only

Embedded Fractional Operations Support

From $3,000/monthTypically 2–3 months

An optional adoption layer added after AI Systems Setup, a specialized Build, or as part of AI Adoption. An Agency Owner Lab operator stays close to the team while the new workflow meets real client work, resolves edge cases, and becomes normal operating behavior.

Weekly team office hours during the highest-friction adoption window
Async support in the channel your team already uses
Leadership check-ins on usage, ownership, and workflow friction
A structured taper and handoff as the internal team becomes self-sufficient

This support cannot be purchased as a standalone service.

Strong fit

Your agency sells media relations and senior research time is constraining capacity.

Account teams need a more consistent research, pitch-development, and reporting process.

You want human relationships and final judgment protected.

Not the Build

You want an autonomous pitching bot that contacts journalists without review.

Your need is broader than media relations and spans several agency departments.

You are looking for a generic media database rather than an operating workflow.

Fit + configuration

Start with your current media workflow.

Bring the process, team roles, tools, specialist beats, and the part consuming the most senior time. Agency Owner Lab will confirm fit, availability, configuration, and pricing after reviewing the request.

Media Relations Engine, answered

What the Build does—and what stays human.

Direct answers about workflow, pricing, configuration, relationships, and adoption support.

It supports target research, media list building, first-draft pitch angles, coverage checks, follow-up tracking, and client-ready reporting for PR teams.

No. It removes repetitive research, organization, and drafting work before the human conversation. Final judgment, relationships, pitching, and follow-up remain with the PR team.

Pricing is confirmed after Agency Owner Lab reviews the agency's tools, beats, workflow branches, users, review requirements, and adoption needs. Request information to receive the scope and pricing that applies to your configuration.

Yes. The target patterns, prompts, context, and review process are configured around the agency's beats and standards rather than one generic list.

Yes. Embedded Fractional Operations Support can be added when a team needs office hours, async support, and live adoption help after the engine launches.

Results may not be typical. Individual results vary, and specific outcomes cannot be guaranteed.