Training

June 14, 2026

The Market Research Game Is Changing: How Federal Acquisition Professionals Can Use ChatGPT in a Commercial-First Era

# AI Techniques

# Advanced & Builder Skills

# Enablement

# Procurement

# Use Cases

Adapting your requirements to the modern commercial market.

The Market Research Game Is Changing: How Federal Acquisition Professionals Can Use ChatGPT in a Commercial-First Era

For nearly two decades in federal acquisition, one truth has remained constant: strong market research leads to better outcomes. It shapes acquisition strategy, informs requirements, and ultimately determines whether we buy innovation or build something we didn’t need to.

What has changed is the policy environment, and it’s not subtle.

Recent executive orders and the Revolutionary Federal Acquisition Regulation (FAR) overhaul make one thing clear: federal acquisition is now firmly commercial-first.

Agencies must procure commercial products and services to the maximum extent practicable

Requirements should be adapted to the market and not the other way around

Market research must actively test whether commercial solutions already exist before pursuing custom development

This is a fundamental shift.

And it puts more pressure than ever on how acquisition professionals conduct market research.

At the same time, tools like ChatGPT are transforming how that research gets done, moving beyond static searches to interactive, insight-driven exploration of the market.

Why This Shift Changes Market Research

Traditional search tools like Google are good at finding data points. But commercial-first acquisition requires something more:

Understanding what the market actually offers today

Identifying solutions that meet most (not all) requirements

Evaluating whether requirements can be modified to fit commercial offerings

Distinguishing between minor modification (commercial) and major customization (non-commercial)

This is exactly where ChatGPT becomes valuable.

It helps you:

Synthesize across industries and vendors

Identify commercial and near-commercial solutions

Surface non-obvious or emerging offerings

Translate capabilities into acquisition-relevant insights

Instead of just searching for vendors, you begin to interrogate the market.

Before We Move On, Let's Get Something Straight: Market Research Is Not Acquisition Planning

A common mistake, especially under pressure, is jumping straight to:

What contract vehicle can I use?

Is this on a GWAC or IDIQ?

But policy is clear: market research comes first, and it must be market-driven.

If you start with vehicles, you constrain your view to what’s already been procured and not what the market can do today.

That’s especially risky in a commercial-first environment where:

Innovation may exist outside traditional vehicles

Smaller or emerging vendors may not be represented

Requirements may need to change to align with commercial offerings

Use ChatGPT to fundamentally transform how you conduct market research, shifting from searching for vendors to exploring market capability first, and only then moving to acquisition planning.

FAR Part 10 Now Requires a Commercial-First Mindset

Under the Revolutionary FAR overhaul agencies must evaluate commercial solutions in a clear order of priority:

Can a commercial solution on an existing government contract meet the need?

Can the requirement be modified to use an existing commercial solution?

Is a commercial solution available elsewhere?

Can a commercial solution be slightly modified to meet the need?

Only then consider nondevelopmental or custom solutions

The most important, and often overlooked, step is #2: modifying requirements to fit the market.

This is a major cultural shift.

Instead of asking:

“Who can meet my requirements?”

You now have to ask:

“How should I change my requirements to leverage what the market already does well?”

ChatGPT is uniquely suited to help with this. Let’s explore how to do this.

When to Use Deep Research vs. Rapid Exploration in ChatGPT

To put this into practice, you need to know how to use ChatGPT at the right level of depth at the right time. Here’s how to think about it:

Rapid exploration is best when:

You’re early in the lifecycle

You’re testing whether commercial solutions exist

You’re identifying potential requirement adjustments

Deep research is needed when:

You’re documenting a commerciality determination

You’re assessing modification thresholds (minor vs. major)

You need defensible rationale for leadership or oversight

Think of it as:

Rapid = discovery

Deep = justification

Use Case 1: Identifying Commercial Solutions and Modifying Requirements to Fit the Market

This is the heart of the new policy environment.

You are no longer just identifying solutions—you are actively shaping your requirement based on what exists commercially.

Example Prompt

“Act as a federal acquisition professional conducting market research under a commercial-first policy framework.

Requirement: [describe requirement in plain language]

Identify commercially available products or services that meet all or part of this requirement.

For each solution:

Describe the product/service and vendor

Identify which requirements are met

Identify unmet requirements

Recommend how the requirement could be modified to align with the commercial offering

Assess whether modifications to the product/service would be minor (commercial) or major (non-commercial) based on functionality and typical market use

Highlight options that maximize use of existing commercial capabilities with minimal customization.”

Why You Should Try This

This directly supports:

FAR Part 10 priority #2 (modify the requirement)

Commerciality determinations under the FAR Companion FC 12.000

Avoiding unnecessary custom development

Use Case 2: Evaluating Commerciality and Degree of Modification

Policy now requires more disciplined thinking about what is truly commercial.

The distinction between minor modification and major customization is critical.

Example Prompt

“Act as a federal acquisition subject matter expert evaluating commerciality.

For the following solutions: [insert solutions or findings], assess whether they qualify as commercial products or services.

For each:

Describe typical commercial use

Identify any required modifications

Assess whether modifications are minor or major based on impact to core functionality

Evaluate whether pricing reflects market rates or non-commercial pricing structures

Provide a recommendation on commercial status with rationale

Use principles from FAR Companion FC 12.000 in your analysis.”

When to Go Deep

Use deep research here when:

Documenting commercial determinations

Supporting acquisition strategy decisions

Use Case 3: Supporting Modular, Commercial-Aligned Strategies

Commercial markets rarely deliver monolithic solutions. They deliver components.

FAR guidance encourages breaking requirements into modules aligned with how the market operates.

Example Prompt

“Act as a federal acquisition professional applying modular acquisition principles.

Requirement: [insert requirement]

Break this requirement into modular components aligned with how commercial markets deliver solutions.

For each module:

Describe the function

Identify typical commercial solutions/vendors

Explain benefits of procuring separately (competition, innovation, refresh cycles)

Recommend a modular acquisition approach that maximizes commercial availability and reduces customization risk.”

Why You Should Try This

This approach:

Expands competition

Reduces integration risk

Aligns with commercial best practices

Use Case 4: Generating Right-Sized, Defensible Market Research Documentation

The FAR overhaul gives you discretion in how you document market research.

But that also means you are responsible for ensuring it is:

Clear

Tailored

Defensible

ChatGPT helps translate your research into policy-aligned documentation.

Example Prompt (Flexible Documentation)

“Act as a federal acquisition professional documenting market research under FAR Part 10.

Requirement: [insert requirement]

Market Findings: [insert findings]

Generate a market research summary that:

Documents the extent of market research performed

Evaluates commercial availability in order of FAR Part 10 priorities

Explains whether requirements can be modified to align with commercial solutions

Assesses commerciality and degree of modification

Provides a clear, defensible rationale for next steps

Is appropriately tailored to the size and complexity of the acquisition

Ask clarifying questions if needed to strengthen the analysis.”

Why This Helps

Produces right-sized documentation

Aligns directly with policy expectations

Reduces time spent on formatting

Pro Tip: Let ChatGPT Ask You Questions

Add this to your prompts:

“Before completing this task, ask me any clarifying questions needed to improve the quality of the output.”

This ensures ChatGPT doesn’t just generate an answer but will help you think.

Final Thought: The Advantage Now Goes to Those Who Understand the Market

The policy direction is clear: commercial first, customization last.

The federal acquisition workforce is being asked to:

Understand the market more deeply

Adapt requirements more intelligently

Justify decisions more clearly

Those who rely only on traditional search methods will struggle to keep up.

Those who use AI tools like ChatGPT will:

Maintain a real-time understanding of commercial capabilities

Identify ways to adapt requirements instead of over-specifying

Produce stronger, faster, and more defensible market research

The market research game has changed, and the future of market research isn’t just about finding answers.

It’s about asking better questions and using the right tools to explore them.

The Market Research Game Is Changing: How Federal Acquisition Professionals Can Use ChatGPT in a Commercial-First Era

Adapting your requirements to the modern commercial market.

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