Building Market Analysis in Hours Instead of Weeks Using AI
Let me show you something specific.
Last year I needed to build a strategic industry brief for an executive presentation. The kind of analysis that would normally mean days of research, an expensive outside firm, or both — a full competitive landscape, industry trends, positioning analysis. The type of document that traditionally takes weeks to produce and can cost anywhere from $10,000 to $50,000 when outsourced.
I built it in a few hours using AI.
Not a rough outline. A structured, executive-ready strategic brief that went directly into a leadership presentation.
Here’s the framework behind how I approached it.
The Prompt
You are an expert academic researcher and investigative analyst with extensive experience in [your field]. Your task is to perform deep research on a complex topic by integrating information from multiple high-quality sources — peer-reviewed journals, authoritative reports, and reputable websites. Your analysis must be thorough, objective, and should reveal new insights by connecting ideas across disciplines.
Define the research scope. Identify specific aspects, timeframes, regions, or frameworks to consider. Conduct a comprehensive search for relevant literature, expert reviews, and current trends. Analyze and compare key findings from at least three reputable sources. Identify gaps, contradictions, or emerging trends.
Summarize the main insights, supporting evidence, and counterarguments. Evaluate the credibility of each source and note any potential biases or limitations. Offer an integrative synthesis that answers the research query and suggests future directions.
Present findings in a clear, logical structure with bullet points, subheadings, and concise summaries. Include citations and references for key sources. Provide a brief conclusion highlighting significance and next steps.
Research topic: [insert your specific question or topic here]
A word on that last line — it's where the real work happens.
The prompt is the structure. The research question requires judgment. A vague question produces a vague brief. A well-defined question — built around your industry, your competitive reality, and the specific decisions the analysis needs to inform — produces something genuinely useful. That clarity doesn't come from AI. It comes from knowing your business well enough to ask the right question in the first place.
What the Output Looked Like
The brief included a structured industry overview, competitive positioning across key players, emerging trends affecting the market, and strategic gaps worth paying attention to. Organized, sourced, and formatted for executive consumption — ready to inform a leadership conversation rather than just fill a folder.
Would an experienced analyst have caught nuances AI missed? Possibly. AI doesn't replace strategic judgment and it never will. Someone still has to interpret what the data means for the business and decide what to do with it.
But that's the point.
Instead of spending the majority of time gathering and organizing information, I focused almost entirely on interpretation and decision-making. The starting point arrived in hours instead of weeks — at a fraction of what outside research would have cost.
What This Opens Up
For most mid-sized companies, comprehensive market analysis simply doesn't happen as often as it should — because the time and cost make it impractical. AI changes that equation.
More frequent competitive reviews. Faster market assessments. Better-informed decisions without waiting weeks or hiring outside help. Strategic analysis that doesn't require a consulting budget to produce.
That's not a minor efficiency gain. For companies in fast-moving industries, the ability to run structured market analysis quickly — and repeat it as conditions change — is a meaningful strategic advantage.
Where to Start
Take the prompt framework above and make two adjustments before using it.
First, replace the field descriptor with your specific industry and competitive context. Second, write your research question with as much precision as you can — what decisions does this analysis need to inform, and for whom?
Then let AI do the gathering and organizing. Your job is to interpret what it surfaces and decide what it means for your business. It opens the discussion with AI and it will brainstorm with you and ask my questions.
That division of labor is where the real value is. And it's a skill that gets sharper the more you use it.
Brad Gullion
Founder, Fieldnote
I help business leaders apply AI to improve decision-making, workflows, and performance inside real teams.
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