Direct Gemini to map a market by segment, size each claim with a source and date, and flag every number it cannot support so you know where to dig.
El prompt
Produce a market scan of [MARKET] for [PURPOSE]. Break it into segments. For every quantitative claim, attach the source and its date, and mark estimates as ESTIMATE. End with the three biggest unknowns and what evidence would resolve them. Do not present unsupported numbers as facts.
Reemplaza las variables
[MARKET]Category + geography + timeframe.
[PURPOSE]Investment, entry, positioning, etc.
Qué modelo usar
- Gemini 3.1 Pro — Structured, multi-segment synthesis is more reliable on Pro.
Entrada de ejemplo
- [MARKET] = "EU B2B e-signature tools, 2026". [PURPOSE] = "assess entry for a new startup".
Resultado de ejemplo
Solo publicamos resultados de ejemplo de ejecuciones reales del modelo. Esta plantilla aún no se ha probado formalmente, por lo que no se muestra ningún resultado. Ejecútala tú mismo con la entrada de arriba.
Por qué funciona esta estructura
- Segment-first structure prevents a vague, averaged answer.
- Tagging ESTIMATE vs sourced keeps you honest with stakeholders.
Fallos comunes y soluciones
Numbers look precise but are unsourced.
Solución: Reject any figure without a named source; ask the model to downgrade it to a range.
Limitaciones conocidas
- Market sizes drift fast; re-run and re-verify before publishing.