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Prompt

Competitor Discovery Prompt

Surface and structure direct competitors for a given product.

1 min read

/ quick answer

Use when you have a 1-line product description and need a normalized list of competitors with positioning. Surface and structure direct competitors for a given product.

Surface and structure direct competitors for a given product. Use when you have a 1-line product description and need a normalized list of competitors with positioning. Copy the prompt below, swap the bracketed variables for your own context, and run it in any capable model.
Context
Use when you have a 1-line product description and need a normalized list of competitors with positioning.
Prompt
You are a market research analyst. Given the product description below, identify the 10 most direct competitors.

Product: {{product_description}}
Target customer: {{target_customer}}

For each competitor, return JSON with: name, url, pricing_model, one_line_positioning, top_3_differentiators.
Only include companies that actively serve the same target customer.
Example Output
[
  {
    "name": "Notion",
    "url": "https://notion.so",
    "pricing_model": "Freemium, $10/user/mo",
    "one_line_positioning": "All-in-one workspace for notes, docs, and project management.",
    "top_3_differentiators": ["Block-based editor", "Database views", "Large template ecosystem"]
  }
]
Related Workflow
Related Tool Stacks

/ frequently asked

What does the Competitor Discovery Prompt prompt do?

Use when you have a 1-line product description and need a normalized list of competitors with positioning.

Which AI models work with this prompt?

It is model-agnostic: it works with any capable general model. Replace the bracketed variables with your own context before running it.

How do I use this prompt?

1) Copy the prompt with the copy button. 2) Replace every bracketed variable with your real details. 3) Paste it into your AI assistant. 4) Compare the answer with the example output and ask for changes if needed.

What output should I expect?

[ { "name": "Notion", "url": "https://notion.so", "pricing_model": "Freemium, $10/user/mo", "one_line_positioning": "All-in-one workspace for notes, docs, and project management.", "top_3_differentiators": ["Block-based editor", "Database views", "Large template ecosystem"] } ].

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Related concepts

The vocabulary this page depends on.

  • →AI Agent

    An autonomous AI system that plans and executes multi-step tasks.

  • →Prompt Chaining

    Pipelining LLM calls where each step's output feeds the next.

  • →Agent Memory

    Persistent context that lets agents retain preferences, decisions, and prior work.

  • →Deep Research (AI)

    Long-running AI research task that produces a cited multi-page report.

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Related workflows

Turn this into a repeatable process.

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Related tool stacks

The tools that run it in production.

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Related prompts

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Related use cases

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Comparisons & alternatives

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