AI Prompts for Business Plans

A business plan is only as good as the thinking behind it, and AI can be a powerful thinking partner if you prompt it correctly. The mistake most people make is asking the AI to "write a business plan" and expecting a finished document. What you get is a generic template filled with placeholder language. Instead, use AI prompts that tackle each section of your business plan individually: executive summary, market analysis, competitive landscape, business model, go-to-market strategy, financial projections, and team overview. For each section, provide the AI with your actual data, assumptions, and constraints. The AI's value is not in inventing your strategy — it is in structuring your thinking, identifying gaps, stress-testing assumptions, and producing investor-ready prose from your rough notes.

Market analysis prompts should specify your industry, target customer segment, geographic focus, and any market data you already have. Ask the AI to identify market size (TAM, SAM, SOM), growth trends, and regulatory factors that could affect your business. Competitive analysis prompts work best when you list your known competitors and ask the AI to map them on specific dimensions — pricing, features, target market, distribution channels — and identify your differentiation. Financial projection prompts should include your revenue model, pricing, expected customer acquisition cost, growth assumptions, and burn rate. Ask the AI to build conservative, moderate, and aggressive scenarios, and to flag which assumptions have the biggest impact on the outcome. Pitch deck prompts should specify your audience (angel investors, VCs, bank loan officers) and the stage of your company, because each expects different emphasis and different levels of detail.

Save your business plan prompt templates in PromptingBox and iterate on them as your company evolves. When you update your financial model or pivot your strategy, pull the same prompts and regenerate the relevant sections. Version control means you can always trace how your plan evolved over time.

Business Plan Prompts You Can Copy Right Now

Structured prompts for every section of your business plan. Fill in your data, generate investor-ready content.

Executive Summary Generator

Write an executive summary for a business plan for {{company_name}}, a {{business_type}} in the {{industry}} industry.

Company stage: {{stage}} (pre-revenue / early revenue / growth / mature)
Mission: {{mission_statement}}
Problem we solve: {{problem_description}}
Solution: {{solution_description}}
Target market: {{target_market}} (estimated {{market_size}} TAM)
Business model: {{revenue_model}}
Traction to date: {{traction_metrics}}
Funding ask: {{funding_amount}} for {{use_of_funds}}
Team: {{founding_team_summary}}

Write a 300-400 word executive summary that a busy investor can read in 90 seconds and understand: what we do, why it matters, why now, why us, and what we need. Lead with the problem and market opportunity, not the company history. Use concrete numbers wherever possible.
company_namebusiness_typeindustrystagemission_statementproblem_descriptionsolution_descriptiontarget_marketmarket_sizerevenue_modeltraction_metricsfunding_amountuse_of_fundsfounding_team_summary

Why it works: Forces you to distill every critical dimension of the business into a structured brief before the AI writes. The "busy investor in 90 seconds" framing produces tight, compelling prose rather than meandering corporate language.

Market Analysis Deep Dive

Conduct a market analysis for {{company_name}} operating in the {{industry}} sector.

Geographic focus: {{geography}}
Target customer segment: {{target_segment}}
Known market data: {{existing_data_points}}
Key trends we've observed: {{observed_trends}}

Analyze and structure into these sections:

1. **Market Size** — Estimate TAM, SAM, and SOM with reasoning. If exact data isn't available, use a top-down and bottom-up approach and show your math.

2. **Growth Drivers** — What macro trends (technology, regulation, demographics, consumer behavior) are expanding this market?

3. **Market Segments** — Break the market into 3-5 segments by {{segmentation_criteria}}. For each: size estimate, growth rate, and our fit.

4. **Regulatory Environment** — Key regulations, compliance requirements, or policy trends that affect market entry or operations in {{geography}}.

5. **Timing** — Why is now the right time to enter this market? What has changed in the last 2-3 years that creates the opportunity?

Flag any assumptions you're making and rate your confidence (high/medium/low) for each estimate.
company_nameindustrygeographytarget_segmentexisting_data_pointsobserved_trendssegmentation_criteria

Why it works: Requesting confidence ratings and explicit assumptions prevents the AI from presenting guesses as facts. The TAM/SAM/SOM framework with "show your math" instruction produces defensible numbers rather than hand-wavy market claims.

Financial Projections Narrative

Write the financial projections narrative for {{company_name}}'s business plan.

Revenue model: {{revenue_model}}
Current MRR/ARR: {{current_revenue}}
Pricing: {{pricing_structure}}
Customer acquisition cost (CAC): {{cac_estimate}}
Lifetime value (LTV): {{ltv_estimate}}
Monthly burn rate: {{burn_rate}}
Runway remaining: {{runway}}
Growth assumptions: {{growth_assumptions}}

Build a 3-year financial narrative covering:

1. **Revenue Projections** — Year 1, Year 2, Year 3 with monthly granularity for Year 1 and quarterly for Years 2-3. State the growth rate assumptions driving each period.

2. **Cost Structure** — Fixed vs. variable costs, key expense categories (team, infrastructure, marketing, G&A), and how they scale with revenue.

3. **Unit Economics** — CAC, LTV, LTV:CAC ratio, payback period. How these improve over time and why.

4. **Path to Profitability** — When do we expect to break even? What milestones trigger the transition?

5. **Scenario Analysis** — Conservative ({{conservative_assumption}}), Base ({{base_assumption}}), and Aggressive ({{aggressive_assumption}}) cases. Show how the bottom line changes in each.

Write in a narrative style that explains the numbers, not just presents them. An investor should understand the logic behind every projection.
company_namerevenue_modelcurrent_revenuepricing_structurecac_estimateltv_estimateburn_raterunwaygrowth_assumptionsconservative_assumptionbase_assumptionaggressive_assumption

Why it works: Investors skip financial tables but read the narrative that explains the logic behind the numbers. The three-scenario structure demonstrates intellectual honesty, and specifying unit economics shows you understand the real drivers of your business.

Competitive Landscape Analysis

Map the competitive landscape for {{company_name}} in the {{industry}} market.

Our positioning: {{our_positioning}}
Known competitors:
{{competitor_list}}

For each competitor, analyze:
- What they do well (be specific and honest)
- Where they fall short
- Their target customer vs. ours
- Estimated market share or revenue range if known

Then provide:

1. **Competitive Matrix** — Compare all players (including us) across these dimensions: {{comparison_dimensions}} (e.g., pricing, features, UX, market focus, funding, team size)

2. **Our Differentiation** — What is our genuine, defensible advantage? Be critical — if our differentiation is weak, say so and suggest how to strengthen it.

3. **Competitive Moats** — What would prevent a well-funded competitor from replicating our approach? Evaluate: network effects, switching costs, data advantages, brand, patents, regulatory barriers.

4. **Threats** — Which competitor is most likely to move into our space, and what would that look like? What adjacent players could become competitors?

Be brutally honest. An investor will ask these questions — better to address weaknesses proactively than be caught off guard.
company_nameindustryour_positioningcompetitor_listcomparison_dimensions

Why it works: The "brutally honest" instruction overrides the AI's tendency to be a cheerleader. Asking it to identify weak differentiation and real threats produces the kind of clear-eyed analysis that builds investor credibility rather than undermining it.

Go-to-Market Strategy

Develop a go-to-market (GTM) strategy for {{company_name}} launching {{product_or_service}} to {{target_market}}.

Launch timeline: {{launch_date}}
Budget available: {{gtm_budget}}
Team size: {{team_size}} (with {{marketing_headcount}} in marketing)
Current distribution channels: {{existing_channels}}
Existing audience/community: {{existing_audience}}

Structure the GTM plan:

1. **Target Customer Profile** — Primary ICP with demographics, psychographics, buying behavior, and where they spend time online and offline.

2. **Positioning & Messaging** — One-line positioning statement, 3 key messages, and the primary value proposition. Frame as: "For [target], [product] is the [category] that [key benefit] unlike [alternative]."

3. **Channel Strategy** — Rank the top 5 acquisition channels by expected CAC and volume. For each: specific tactics, estimated cost per acquisition, and timeline to results.

4. **Launch Sequence** — Week-by-week plan for the first {{launch_weeks}} weeks. Include: pre-launch buzz, launch day, post-launch optimization.

5. **Metrics & Milestones** — Define success metrics for 30/60/90 days. What triggers doubling down vs. pivoting the approach?

6. **Budget Allocation** — How to split {{gtm_budget}} across channels and activities, with rationale.

Prioritize tactics that work for a {{team_size}}-person team. Do not suggest enterprise-scale plays we cannot execute.
company_nameproduct_or_servicetarget_marketlaunch_dategtm_budgetteam_sizemarketing_headcountexisting_channelsexisting_audiencelaunch_weeks

Why it works: The team size constraint prevents the AI from suggesting strategies that require 50-person marketing departments. The week-by-week launch sequence makes the plan immediately actionable rather than aspirational.

Risk Mitigation Framework

Build a risk analysis and mitigation plan for {{company_name}}'s business plan.

Industry: {{industry}}
Business model: {{business_model}}
Stage: {{company_stage}}
Key dependencies: {{key_dependencies}}
Regulatory environment: {{regulatory_context}}

Identify and analyze risks across these categories:

1. **Market Risk** — What if the market doesn't grow as projected? What if customer needs shift?

2. **Execution Risk** — What are the hardest parts of our plan to execute? Where are we most likely to miss timelines?

3. **Financial Risk** — What if funding takes longer? What if CAC is 2x our estimate? What if revenue ramps slower?

4. **Competitive Risk** — What if a major player enters our space? What if a competitor drops pricing?

5. **Regulatory Risk** — What regulatory changes could affect our business model?

6. **Team Risk** — What happens if a key team member leaves? Where are our skill gaps?

For each risk:
- Likelihood: High / Medium / Low
- Impact: High / Medium / Low
- Mitigation strategy: Specific actions we can take NOW to reduce this risk
- Trigger point: What signal tells us this risk is materializing?
- Contingency plan: What we do if mitigation fails

Focus on the top {{risk_count}} risks. Investors want to see that you've thought through what could go wrong — not that you think nothing will.
company_nameindustrybusiness_modelcompany_stagekey_dependenciesregulatory_contextrisk_count

Why it works: The trigger point and contingency plan structure transforms risk analysis from a checkbox exercise into an actionable early-warning system. Specifying likelihood and impact for each risk creates a natural prioritization framework.