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Business Prompt Examples

These are illustrative example prompts for business tasks using ChatGPT, Claude, or other AI models. They demonstrate how structured prompts can produce business-grade documents and analysis. These are example prompts — not user testimonials.

These are illustrative example prompts, not user testimonials.

Example prompt

Executive summary (ROLE framework)

Role: Senior management consultant specializing in SaaS business strategy
Objective: Write an executive summary for a Series A pitch deck for a B2B project management SaaS targeting construction companies
Limitations: Maximum 300 words, no jargon, no unsubstantiated revenue projections, do not make claims about market size without noting they are estimates
Expectations: Cover: problem statement, solution overview, target market, business model, traction summary, and funding ask. Tone: confident but grounded.

What makes it effective: Prohibiting unsubstantiated projections prevents AI from fabricating numbers. The six required sections ensure nothing critical is omitted, and the word limit forces conciseness appropriate for an executive summary.

Example prompt

Competitive analysis (COAST framework)

Context: Early-stage HR tech startup building an AI-powered employee onboarding platform
Objective: Produce a competitive analysis comparing our approach to three named competitors: Workday, BambooHR, and Rippling
Actions: For each competitor: summarize target market, key features, pricing model (public tier if available), and perceived weaknesses. Then identify 3 gaps our product could address.
Scenario: This analysis is for an internal strategy session, not for publication. Be direct about competitor weaknesses where publicly documented.
Task: Structured report with a competitor summary table and a Gaps and Opportunities section at the end

What makes it effective: Naming specific competitors produces focused output rather than generic analysis. The Gaps section connects the competitive landscape directly to strategic action. The "publicly documented" qualifier keeps the output grounded.

Example prompt

Investor outreach email (TAG framework)

Task: Cold outreach email to a seed-stage VC investor for a climate tech startup raising a $2M pre-seed round
Action: Write the email covering: one-line company description, the problem being solved, current traction (placeholder: [insert traction metrics]), the ask (30-minute call), and a closing that does not pressure a response
Goal: Maximum 200 words, confident and concise tone, no buzzwords, include subject line. Suitable for a founder with no prior relationship with the investor.

What makes it effective: The traction placeholder reminds the user to insert real data rather than letting the AI invent metrics. The word limit and "no buzzwords" constraint enforce the direct, founder-to-investor register that performs better in cold outreach.

Example prompt

SWOT analysis (Standard)

Conduct a SWOT analysis for a bootstrapped e-commerce brand selling sustainable home goods in the US market. The brand has been operating for 3 years, has $800K in annual revenue, strong repeat purchase rates, but limited marketing budget. Format as a 2x2 SWOT table followed by 3 strategic priorities derived from the analysis. Be specific — avoid generic SWOT points that could apply to any business.

What makes it effective: Specific business context (revenue, years operating, repeat purchase strength) constrains the AI to relevant analysis. The instruction to "avoid generic points" directly addresses the most common failure mode in AI-generated SWOT analyses.

How to adapt these business prompts

Replace placeholder company details, revenue figures, and industry context with your actual information. The more specific the context — company stage, market, team size, named competitors — the more relevant the output. Always review AI-generated business documents before using them for decisions or presentations. To generate a custom structured prompt, use the PromptVibe prompt optimizer.

Frequently Asked Questions

Can I use AI-generated business plans or analysis documents directly?

AI-generated business documents should be treated as structured first drafts. They require review, fact-checking, and expert input before being used for fundraising, investor presentations, or strategic decisions. These are illustrative example prompts — not verified business advice.

Which AI model is better for business writing — ChatGPT or Claude?

Both work well for business tasks. Claude tends to handle longer documents and multi-part analysis with strong structural coherence. ChatGPT is well-suited for shorter outputs like executive emails and concise summaries. Use whichever you have access to with a well-structured prompt.

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