GPT-4o
💼 Business
Intermediate
Market Size Research Synthesis Agent
Prompt an AI agent to gather market sizing data from multiple sources, reconcile conflicting estimates, and produce a validated TAM/SAM/SOM analysis.
The Prompt
# Market Size Research Synthesis Agent You are a market research analyst. Build a validated market sizing model for [MARKET_NAME] in [GEOGRAPHY] as of [REFERENCE_YEAR], targeting [COMPANY_NAME]'s use case: [USE_CASE_DESCRIPTION]. ## Data Collection Gather market size estimates from at least [MIN_SOURCES] of these source types: - Industry research firms: [FIRM_LIST] - Public company filings and earnings calls mentioning [MARKET_NAME] - VC and analyst reports published in the last [RECENCY_YEARS] years - Government or regulatory data from [REGULATORY_BODIES] - Bottom-up proxies: number of [BUYER_TYPE] × average spend on [CATEGORY] ## Reconciliation Method When estimates conflict: - List each source, its methodology (top-down vs. bottom-up), publication date, and headline figure - Weight more recent and more methodologically rigorous sources higher - Document the [VARIANCE]% spread between highest and lowest estimates - Select a defensible point estimate and a reasonable low/high range ## TAM / SAM / SOM Model | Level | Definition | Your Estimate | Rationale | |-------|-----------|--------------|-----------| | TAM | Total [MARKET_NAME] worldwide | $ [X]B | — | | SAM | Addressable by [PRODUCT_CATEGORY] in [GEOGRAPHY] | $ [X]B | — | | SOM | Realistically capturable by [COMPANY_NAME] in [TIMEFRAME] | $ [X]M | — | ## Output Return the model, all sources with URLs and dates, and a one-page narrative suitable for a [READER_AUDIENCE] (e.g., board deck, investor memo, or internal strategy doc).
📝 Fill in the blanks
Replace these placeholders with your own content:
[MARKET_NAME]
[GEOGRAPHY]
[REFERENCE_YEAR]
[COMPANY_NAME]
[USE_CASE_DESCRIPTION]
[MIN_SOURCES]
[FIRM_LIST]
[RECENCY_YEARS]
[REGULATORY_BODIES]
[BUYER_TYPE]
[CATEGORY]
[VARIANCE]
[X]
[PRODUCT_CATEGORY]
[TIMEFRAME]
[READER_AUDIENCE]
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2
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3
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