Research for marketing
AI can support the research behind your marketing, helping your team explore information and develop a more informed starting point. We shape that support around the questions your business needs to answer.
Put AI to work on the research, marketing, and routine tasks that slow your team down. We combine strategic thinking and technical expertise with the human judgment that gives every solution its direction.
A useful AI solution begins with a useful question. Where does research take too much time? Which recurring tasks draw attention away from more valuable work? What information would help your team make a better decision?
We help connect those questions with a practical direction. Your business knowledge defines the context, while our marketers and programmers consider how AI can support the objective.
AI can support the research behind your marketing, helping your team explore information and develop a more informed starting point. We shape that support around the questions your business needs to answer.
We build agents to support defined tasks within your organization. The starting point is the work itself, with the solution shaped around how your people operate and what they need to accomplish.
Understanding a tool is one part of the work. Understanding the business behind it gives the work its purpose.
Our experience across marketing, design, and development helps us connect technical possibilities with practical needs. AI enhances that expertise, while our people bring the judgment, creativity, and communication that guide the engagement.
Your business has a story shaped by real people: the challenges you solve, the decisions you make, and the customers whose trust you earn. We start by listening to those experiences and understanding what matters to your audience.
AI can help explore a direction or organize research. Our marketers, writers, and designers bring the context, empathy, and creative judgment that give the work its character. A compelling story needs a truthful foundation, a recognizable voice, and a reason for someone to care.
The four competencies offer a useful lens for human–AI collaboration, including work with agents. For your project, they help frame four practical questions.
Decide which tasks suit AI, where human expertise matters, and what authority an agent should have.
Give the system a clear purpose, audience, context, instructions, and boundaries.
Review outputs and behavior for accuracy, relevance, quality, and fit before relying on them.
Consider appropriate data use, transparency, and accountability for what is created and shared.
Framework developed by Rick Dakan, Joseph Feller, and Anthropic. Explore the original framework. AI fluency supports responsible practice; it is not a governance certification.
When planning an agent that can take actions, the brief needs to cover more than its output. What information may it access? What may it do independently? Which decisions require a person’s approval? Who reviews its work?
Those questions belong in the project scope, alongside how activity can be reviewed, how an error is escalated, and how the workflow can be paused. The appropriate controls depend on the task, the systems involved, and the consequences of getting it wrong.
The goal is useful assistance with clear responsibility. Your people bring the business knowledge, and the solution should help them stay informed and in control.
Start with a recurring task or information gap that has a clear business cost. Prospect research, marketing research, and repetitive information handling can provide a focused starting point. Pierson Media helps define the desired outcome, the information required, and where human judgment belongs. A bounded first use makes it easier to evaluate usefulness before expanding the workflow.
Pierson Media develops practical AI solutions for marketing research and organizational efficiency, including agents for defined tasks. Examples include researching prospects, organizing information, and supporting recurring work. The solution is shaped around your team’s process and the systems involved. We define the functionality and deliverables before development rather than assuming one tool fits every business.
The scope should define what the workflow can access, what it may do independently, and which outputs or actions require human review. It should also address how errors are escalated and how work can be paused. Pierson Media brings those questions into planning so responsibility remains clear and the level of oversight matches the consequences of the task.
That depends on the task. Public prospect research may rely mainly on public information, while an internal workflow may need access to selected business systems or documents. We identify the necessary inputs and proposed access during scoping. Your team should review data handling and approval requirements before confidential information is introduced into the chosen tools.
Evaluate the first workflow against a clear baseline: time spent, output quality, usefulness to the team, and the amount of correction or review required. Pierson Media can structure development in phases so feedback informs the next step. The cost and timeline depend on the scope and technical requirements; the reason to expand should be demonstrated usefulness in your business.
Tell us about the research or operational challenge you have in mind. We’ll help explore where AI could make a useful contribution.