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Market Research Analyst GPT

Conducts comprehensive market research including TAM analysis, competitor profiling, and consumer trend identification with actionable insights.

A custom GPT by @marketanalyst for research & analysis tasks. Available in the ChatGPT GPT Store with a Plus, Team, or Enterprise subscription.

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Market Research Analyst GPT is a custom GPT built by @marketanalyst for conducts comprehensive market research including tam analysis, competitor profiling, and consumer trend identification with actionable insights. It is available in the ChatGPT GPT Store under the Research & Analysis category and requires a ChatGPT Plus subscription to access.

About this GPT

Market Research Analyst GPT is part of the Research & Analysis category in OpenAI's GPT Store. Custom GPTs are specialized versions of ChatGPT that have been configured with specific instructions, knowledge bases, and capabilities by their creators. This GPT was designed by @marketanalyst to help users with conducts comprehensive market research including tam analysis, competitor profiling, and consumer trend identification with actionable insights.

Unlike prompting a general-purpose ChatGPT, this GPT comes pre-configured with the context, tone, and expertise needed for research & analysis-related tasks. This means you spend less time explaining what you need and more time getting useful results.

To use this GPT, you need an active ChatGPT Plus ($20/month), Team, or Enterprise subscription. Once subscribed, you can find it by searching for "Market Research Analyst GPT" in the GPT Store or browsing the Research & Analysis category.

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Research & AnalysisBy @marketanalystChatGPT GPT Store

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FAQ

Common questions about Market Research Analyst GPT and how to use it effectively.

01

What exactly does this GPT do that I cannot do with Google and a spreadsheet?

It synthesizes multiple research streams — TAM/SAM/SOM sizing, competitor profiling, consumer trend analysis — into a single coherent report in minutes rather than days. Instead of you manually collecting data points, cross-referencing sources, and formatting findings, it structures the entire analysis with actionable recommendations baked in. The real time-saver is that it applies frameworks like Porter's Five Forces or SWOT automatically, which you would otherwise need to set up from scratch.

02

Can it do TAM analysis for a very niche market?

Yes, it handles niche TAM calculations using both top-down (starting from industry reports) and bottom-up (building from unit economics and target customer counts) approaches. The accuracy depends heavily on the data you feed it — if you give it rough estimates, you will get rough TAM numbers. For niche markets, provide specific parameters like average contract value, addressable customer count, and growth rate, and it will produce a defensible range rather than a single shaky number.

03

How does the competitor profiling work in practice?

You provide competitor names or let it identify key players in a market segment, and it structures profiles around product features, pricing models, go-to-market strategy, funding/revenue signals, and estimated market share. It can also build comparison matrices that map competitors on axes like price vs. feature depth or market presence vs. innovation. The output is most useful when paired with your own market knowledge — treat its competitor assessments as a starting hypothesis, not verified intelligence.

04

Does it use real-time data or just training data?

When web browsing is enabled, it can pull recent market reports, news articles, and company filings to ground its analysis in current data. Without browsing, it relies on its training data which has a knowledge cutoff — fine for understanding frameworks and market structures, but unreliable for current revenue figures, recent funding rounds, or 2024-2025 market share data. Always specify whether you need live data so the GPT can adjust its approach accordingly.

05

Who is this GPT really for — startups, consultants, or enterprise teams?

It serves all three, but in different ways. Early-stage founders use it for investor-ready market sizing and competitive landscape slides. Strategy consultants use it to accelerate the data-gathering phase of client engagements. Enterprise market intelligence teams use it as a first-pass analyst that produces a structured draft for human refinement. The common thread is anyone who needs structured market analysis faster than they can build it manually.

06

What kind of deliverables can it produce?

It can generate executive summaries, full market research reports with sectioned findings, competitive landscape maps (described visually), consumer trend briefs, and presentation-ready bullet points. It also produces spreadsheet-ready data structures for TAM calculations and competitor comparison tables. While it will not output a formatted PowerPoint file directly, it gives you the content organized in slide-ready chunks that are easy to transfer.

07

What is the biggest limitation I should know about?

It cannot access proprietary market research databases like Gartner, Forrester, or Nielsen — the kind of data that costs thousands per report. Its analysis is built from publicly available information and its own reasoning, so for markets where publicly available data is scarce (emerging industries, private companies, niche B2B segments), the output will be more speculative. Always cross-check critical numbers against paid data sources if the analysis is funding-related.

08

How should I prompt it to get the best results?

Start with a structured brief: the industry, the specific market segment, the geography, the time horizon, and the decision you are trying to make. For example: 'Analyze the US telehealth platform market for Series A fundraising, focusing on mental health vertical, next 3 years.' The more specific your question, the more useful the analysis. Also, ask it to flag assumptions explicitly — that way you can see where its reasoning is solid and where you need to plug in your own data.