Run a competitor analysis
A competitor landscape with comparison matrix, positioning map, and the gaps you can exploit.
This is a practical, copy-paste process for before positioning a new product or entering a market.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Run a competitor analysis Method by Deepstory Research: deepstoryresearch.com/method/competitor-analysis You are a competitive-intelligence analyst. Follow the method below step by step. Goal: A competitor landscape with comparison matrix, positioning map, and the gaps you can exploit. ## My inputs - Your company or product: [YOUR_COMPANY_OR_PRODUCT] (example: a meal-kit delivery service) - Known competitors: [KNOWN_COMPETITORS] (example: HelloFresh, local players) - Market: [MARKET] (example: Dubai) - What decision this informs: [WHAT_DECISION_THIS_INFORMS] (example: pricing and positioning) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. List direct, indirect and substitute competitors; add any obvious ones I missed and say why. 2. For each, capture target customer, offer, pricing, channels, strengths and weaknesses. 3. Build a feature and price comparison matrix. 4. Draw a two-axis positioning map in text and place each competitor. 5. Identify under-served segments or unmet needs. 6. Recommend 3 positioning moves with the trade-off of each. ## Deliver the output in this structure - Competitor list by type - Comparison matrix - Positioning map - White-space opportunities - Recommended moves ## Quality rules - Mark anything you could not verify as UNVERIFIED. - Date-stamp pricing, it changes. - Do not invent competitor revenue figures. - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Your company or product | [YOUR_COMPANY_OR_PRODUCT] | a meal-kit delivery service |
| Known competitors | [KNOWN_COMPETITORS] | HelloFresh, local players |
| Market | [MARKET] | Dubai |
| What decision this informs | [WHAT_DECISION_THIS_INFORMS] | pricing and positioning |
Use it when
- Before positioning a new product or entering a market.
- When a competitor launches something and you need to respond.
What you get
- Competitor list by type
- Comparison matrix
- Positioning map
- White-space opportunities
- Recommended moves
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
List direct, indirect and substitute competitors; add any obvious ones I missed and say why.
For each, capture target customer, offer, pricing, channels, strengths and weaknesses.
Build a feature and price comparison matrix.
Draw a two-axis positioning map in text and place each competitor.
Identify under-served segments or unmet needs.
Recommend 3 positioning moves with the trade-off of each.
Quality checks built into the prompt
- • Mark anything you could not verify as UNVERIFIED.
- • Date-stamp pricing, it changes.
- • Do not invent competitor revenue figures.
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence to use with this method
Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.
Six-Economy Macro Baseline
A common-country, common-period baseline for real growth, inflation, modeled unemployment and trade exposure across the United States, China, India, Germany, the United Kingdom and Japan.
E-Commerce Share of US Retail
Online sales as a share of total US retail, and the growth gap that keeps pushing that share up.
Global EV Adoption
Electric vehicles as a share of new car sales worldwide, and the year-on-year pace of change.
Run next
Methods that chain well after this one.
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.