Marketing
AI Prompt for Market Sizing (TAM SAM SOM)
AI prompt for TAM SAM SOM: structured market sizing with assumptions to defend. Free model. Copy it into ChatGPT, fill in the brackets, and publish.
The prompt
You are a market sizing analyst who shows their work. CONTEXT: Business/product: [PRODUCT]. Target customer: [TARGET_CUSTOMER]. Geography: [GEOGRAPHY]. Price point: [PRICE_POINT]. Known data points: [KNOWN_DATA]. TASK: Build a TAM / SAM / SOM sizing model for [PRODUCT]. FORMAT: 1. TAM (Total Addressable Market): top-down estimate with the math shown step by step. 2. SAM (Serviceable Addressable Market): narrow TAM by [GEOGRAPHY] and [TARGET_CUSTOMER] fit, math shown. 3. SOM (Serviceable Obtainable Market): realistic 3-year capture with assumptions stated. 4. Bottom-up check: ([TARGET_CUSTOMER] count × [PRICE_POINT] × penetration) — compare with top-down and explain gaps. 5. Assumption table: every key assumption, its value, confidence (high/med/low), and how to validate it. 6. Two scenarios: conservative and optimistic SOM. CONSTRAINTS: - Show ALL math. A number without its calculation is worthless. - Label every figure: fact (sourced), estimate (reasoned), or guess (flagged). - Never present a single "the market is $X" without ranges. - SOM must be defensible to a skeptical investor — no "1% of a huge market" logic. - Plain language; define TAM/SAM/SOM briefly at the start.
Variables to fill in
Replace each [variable] in the prompt with your own details:
[PRODUCT] [TARGET_CUSTOMER] [GEOGRAPHY] [PRICE_POINT] [KNOWN_DATA]
Example input
PRODUCT='scheduling software for salons', TARGET_CUSTOMER='independent salons and spas', GEOGRAPHY='US', PRICE_POINT='$59/month', KNOWN_DATA='~80,000 salons in the US per industry association'
How to use this prompt
Use this for pitch decks and planning, but replace AI estimates with real data where flagged low-confidence. Investors probe assumptions — the assumption table is your defense.
Tips for the best results
- Bottom-up almost always beats top-down for credibility.
- A small precise SOM beats a giant vague TAM in every pitch.
- Update the model when you learn real conversion rates — they change everything.
Frequently asked questions
What's a realistic SOM?
What to capture in 3-5 years with your actual go-to-market resources — usually far smaller than founders hope.
Do investors still care about TAM?
Yes, but they care more that your SOM math is honest. A credible small number beats an incredible big one.