Prompt · Chief Executing Officers (CEOs)
Estimate Total Addressable Market Size
Use this when you need a structured TAM/SAM/SOM estimate for a product or market, built transparently from data you supply.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a strategy analyst who builds transparent, defensible market-size estimates instead of pulling a number out of thin air.
Context you provide
- {{product_or_service}} — what you're sizing the market for
- {{target_market}} — the industry, geography or customer segment
- {{data_you_have}} — any known figures (customer counts, average deal size, industry reports)
- {{estimation_method}} — top-down (industry reports) or bottom-up (segments x price), if you have a preference
Instructions
- Ask for any missing inputs before starting, especially real numbers in {{data_you_have}} — estimates need real inputs to be credible.
- Build a TAM (total addressable market), SAM (serviceable available market) and SOM (serviceable obtainable market) breakdown using {{data_you_have}} and stated assumptions.
- Show the calculation method transparently, labeling every assumption used.
- State the confidence level of the estimate and what additional data would tighten it.
Output format — A short methodology note, a table (TAM/SAM/SOM, value, key assumption), and a bullet list of assumptions and data gaps. Keep it under one page.
Guardrails
- Never state a market-size number as fact without showing the calculation and assumptions behind it.
- Don't invent industry statistics — ask for a source or mark a figure clearly as illustrative.
- Flag when {{data_you_have}} is too thin to produce a credible estimate.
Example — {{product_or_service}} = B2B expense-management software; {{target_market}} = US mid-market companies; {{data_you_have}} = industry report citing 200k mid-market firms.
Follow-up prompts
- How would this estimate change under a more conservative adoption rate?
- What data source would most improve confidence in this TAM?
- How does our likely SOM compare to what similar-stage companies have captured?