Top AI Prompts for Competitive Analysis

Use Case: Quickly uncovers competitor approaches to sharpen your market stance.

ClickUp Brain Behaviour: Analyzes linked documents to extract and summarize competitor positioning themes.

Use Case: Informs pricing strategy with current market data.

ClickUp Brain Behaviour: Synthesizes internal reports and, if available, supplements with external market data for comprehensive insights.

Use Case: Aligns sales and strategy teams with a unified competitive overview.

ClickUp Brain Behaviour: Extracts relevant content from linked files to create a structured, actionable brief.

Use Case: Facilitates quick understanding of product differentiators.

ClickUp Brain Behaviour: Pulls tabular and narrative data from internal docs to generate a clear comparative summary.

Use Case: Helps prioritize product improvements based on market feedback.

ClickUp Brain Behaviour: Scans linked feedback files to highlight recurring issues and concerns.

Use Case: Streamlines competitive launch assessments.

ClickUp Brain Behaviour: Extracts criteria and formats them into an actionable checklist within tasks or docs.

Use Case: Keeps marketing teams informed and adaptive.

ClickUp Brain Behaviour: Identifies patterns and repeated tactics from linked marketing reports.

Use Case: Guides customer experience enhancements.

ClickUp Brain Behaviour: Analyzes survey data to extract common satisfaction drivers and pain points.

Use Case: Speeds up messaging creation with consistent brand voice.

ClickUp Brain Behaviour: References tone documents to suggest tailored copy variations.

Use Case: Ensures strategic alignment with evolving regulations.

ClickUp Brain Behaviour: Extracts and summarizes relevant compliance updates from linked files.

Use Case: Supports compliant and effective social media strategies.

ClickUp Brain Behaviour: Pulls key metrics and rules from internal compliance docs to form a reference checklist.

Use Case: Assists in evaluating competitor expansion threats.

ClickUp Brain Behaviour: Identifies risk factors and organizes them into a structured checklist.

Use Case: Informs corporate social responsibility benchmarking.

ClickUp Brain Behaviour: Summarizes documented initiatives into a clear, comparative format.

Use Case: Guides innovation and technology investment decisions.

ClickUp Brain Behaviour: Synthesizes insights from research notes, industry reports, and uploaded analyses.

Use Case: Drives targeted improvements in service offerings.

ClickUp Brain Behaviour: Extracts and prioritizes user-reported issues from surveys, feedback, and support data.

Specify the market segment and competitor types

Broad prompts yield vague results. Include details like industry sector (e.g., “mobile apps for finance” or “enterprise SaaS platforms”), competitor scale (e.g., “startups under 50 employees” or “Fortune 500 companies”), or target audience (e.g., “millennials seeking budgeting tools”).

Example: “Identify strengths and weaknesses of mid-tier project management tools aimed at remote teams.”

Ask AI to draw distinctions between rivals

AI excels at pinpointing nuanced differences. Use prompts like “compare feature sets of X and Y” or “evaluate pricing models between competitors” to uncover strategic insights.

Example: “Contrast user onboarding processes of Asana versus Monday.com.”

Focus on the problem you want to solve

Treat your prompt as a mission for AI. Instead of generic requests like “list competitor features,” be precise:

Example: “Outline key differentiators of top CRM platforms that appeal to small businesses.”

Guide AI with clear result structures

Need a SWOT analysis, feature comparison table, or market positioning map? Direct AI accordingly for actionable outputs.

Example: “Provide a bullet-point list of pricing tiers for leading email marketing services with pros and cons.”