How to Use AI to Identify Underserved Markets in Your Industry

May 28, 2026 • Anthony Guerriero

The best market opportunities are usually hiding in plain sight. They're the gaps that practitioners in an industry sense intuitively but rarely examine systematically. The niche that the major players ignore because it's too small for them. The client segment that has money but not access. The problem that everyone knows exists but no one has packaged a solution for.

Experienced professionals often see these gaps clearly. The problem is that validating them — confirming that a gap represents a real opportunity before investing in it — used to require months of research, interviews, and expensive market studies.

AI compresses that validation timeline significantly. Not to a single afternoon, but to days rather than months. Here is a practical method for doing it.

Start With What You Already Know

The most productive use of AI for market research is not asking it to tell you something you don't know. It's using it to examine and extend what you already sense.

Before you open any tool, write down your answer to this question: in my industry, who gets underserved? Not underserved in a vague way — specifically. Which client type, which geography, which company size, which life stage, which problem profile?

A healthcare attorney who has spent fifteen years in hospital system work might notice that independent physician practices have real legal complexity but rarely have budget for top-tier legal counsel. A financial planner who works primarily with corporate executives might sense that first-generation wealth builders — people who earned significant income without family money — have a different set of needs that most wealth managers aren't equipped to address. An HR consultant might notice that mid-size companies in the 200–800 employee range are too large to ignore compliance but too small to have dedicated HR infrastructure.

Write your hypothesis down. That is your starting point.

Using Perplexity to Validate Market Size and Awareness

Perplexity is the right tool for this first validation pass because it surfaces what people are writing and saying about a market, with citations you can check.

Ask it direct market questions: "What do independent physician practices say about their access to legal counsel?" "What are the most common complaints from first-generation wealth builders about financial planning services?" "What HR challenges are most commonly cited by mid-size companies?"

What you are looking for is evidence. Are people talking about this problem publicly? Are there forum threads, trade association surveys, industry reports, blog posts from practitioners describing this exact frustration? If the problem is as real as you sense, evidence will exist.

You are also checking for competition. Ask Perplexity who is currently serving the market you've identified and what their positioning is. If the market has major well-resourced incumbents, that doesn't mean the opportunity isn't real — but it changes how you'd approach it. If the market has no clear solution providers, that is a different signal.

Using Claude to Analyze and Build the Argument

Once you have gathered initial evidence, Claude is the right tool for the analytical work.

Feed it what you've found: the quotes, the data points, the practitioner observations, your own experience. Then ask it to help you build the case. Not to confirm your hypothesis automatically — but to help you stress-test it.

A prompt that works: "Here is what I know about this market segment. I've observed [X]. I've found [Y] in my research. I believe the gap is [Z]. What would have to be true for this to be a real opportunity? What are the strongest counterarguments? What would a skeptic say?"

Claude will push back on weak spots in your reasoning if you ask it to. It will also help you articulate the opportunity more precisely — a useful input for eventually writing positioning language, pitching a service, or making the case to a partner or investor.

A corporate accountant used this approach to identify that family-owned manufacturing businesses in the $5–25 million revenue range in her region had significant succession planning needs but were rarely approached by estate planning specialists who understood both manufacturing operations and family dynamics. Claude helped her map the argument, surface the counterarguments, and then draft the outreach framework for approaching referral sources.

Interview Research at Scale

One of the most effective market research methods is interviewing people in the segment you're targeting. Get on the phone; ask about their experience with current providers, what problems feel unsolved, what they wish existed.

AI doesn't replace those conversations. It makes them more productive by helping you prepare, and it helps you analyze what you hear afterward.

Before interviews: ask Claude to help you design a short interview guide. "I'm planning to speak with independent financial advisors about their experience with compliance support. What questions would help me understand whether there is an unmet need I could address?" Claude will help you design questions that reveal real frustration rather than surface-level satisfaction.

After interviews: take your notes or transcripts and feed them to Claude. "Here are notes from eight conversations with people in this segment. What patterns do you see? What is being said repeatedly? What is conspicuously absent from their current solutions?" This pattern-recognition pass across multiple conversations accelerates the time from raw data to insight.

The Signal vs. Noise Problem

Not every gap is an opportunity. AI research will surface plenty of problems that are real but don't constitute viable business opportunities. A market might be underserved because the economics don't support a service, because the regulatory environment makes it difficult, or because the clients don't perceive their problem as urgent enough to pay for a solution.

The filter is: is this a problem that the people experiencing it actively want solved, and are they willing to pay for the solution?

The fastest way to answer this is not research — it is asking directly. Before building anything, find five to ten people in the segment you've identified and describe the service you're considering offering. Ask them directly: "If this existed, would you pay for it? What would you pay?" Their answers tell you more than any amount of secondary research.

AI helps you get to that direct validation faster. The research it enables sharpens your hypothesis enough that you are testing something specific rather than asking vague questions about broad problems.

A Practical Workflow

To bring this together: here is the workflow in sequence.

Start with your hypothesis — the market gap you already sense from your professional experience. Use Perplexity to find public evidence of the problem and map the existing competition. Use Claude to analyze what you've found, stress-test the opportunity, and identify the questions you still need to answer. Conduct five to ten direct conversations with people in the target segment. Use Claude to analyze patterns in what you heard. Then make a decision about whether to proceed.

This workflow used to take three to six months. Done well, it now takes two to three weeks. The insight quality is comparable. The time investment is dramatically lower.

Frequently Asked Questions

What if AI research produces results I can't verify?
Perplexity cites sources — check them. Claude's analytical output is reasoning, not research; evaluate it the way you would evaluate a thoughtful colleague's argument. Don't treat either as an authority. Treat them as a starting point.

What if the market I identify is very small?
Small can be good if the problem is acute and the clients have resources. A narrow niche that can support fifteen to twenty high-value engagements per year is a viable practice. Don't disqualify an opportunity just because it's not large-scale.

How do I know if a market is underserved vs. just not lucrative?
Willingness to pay is the test. An underserved market has people who want a solution and would pay for it but can't find a good one. An unlucractive market has people who recognize a problem but don't value the solution highly enough to pay well for it. Direct conversations distinguish these.

Can I use AI to analyze competitor positioning in a new market?
Yes. Ask Perplexity to find how existing providers in your target market position themselves and what their clients say about gaps in their service. This competitive intelligence is often available in reviews, forum discussions, and industry publications.

What if my target market is small enough that there isn't much public information?
That's fine. Use Claude to help you think through the market structure based on analogous industries. The absence of public discussion about a market can itself be a signal — sometimes it means the segment is genuinely underserved, not just undiscussed.

For professionals who want a structured method for identifying, validating, and building a service offering for a new market, the Small Business Leverage System ($495) covers the full business development process. The Sovereign Executive ($3,495) goes deeper into market positioning and authority-building for professionals operating at a higher scale.

Where this goes next

Ready to turn this into a practice that pays? See The Digital Associate for Consultants & Advisors — or Turn Experience Into Income with Claude if you want the broader path.

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