The Best AI Prompts for Business — ChatGPT, Claude & Gemini
30+ battle-tested prompt templates for strategy, marketing, content, sales, ops, engineering, and support. Every prompt below uses fillable {{variables}} so you can try it right on this page — no copy-paste, no signup.
Prompting ChatGPT (OpenAI)
The default all-rounder. Strongest at fast structured business writing, spreadsheets-to-narrative work, and tool-driven workflows. Prompts here are written in its house style: role, context, output shape.
Every template below is automatically re-tuned for ChatGPT when you copy, test, or open it in the Prompt Tester.
5 rules that matter on ChatGPT
- Lead with the role. "Act as a senior growth marketer at a $5M ARR SaaS" outperforms "help me with marketing" by a wide margin.
- Dictate counts. Ask for exact bullet counts, word ceilings and section names. ChatGPT obeys numeric constraints well.
- Ask for the plan first. "Outline your approach in 5 bullets, wait for my go-ahead" removes 80% of rewrite cycles.
- Use memory deliberately. Store voice rules and company facts once, then keep prompts short and situational.
- Push back on fluff. Ban words up front: no 'leverage', 'unlock', 'seamless', no hedging.
ChatGPT: plan-then-execute wrapper
Turns any one-shot request into a two-step workflow so you can correct the plan before it writes 1,500 words.
ChatGPT
Structured business writing · Data analysis + code interpreter · Long chat workflows
Claude
Very long context · Nuanced editorial voice · Document analysis
Gemini
Grounded web research · Multimodal (image, audio, video) · Huge context windows
IBM Project Bob
Whole-repo context · Legacy modernization · Multi-model routing
Stack them together
The biggest quality jump is not a better single prompt — it is a relay. Each assistant does the leg it is best at and hands a structured artifact to the next. Copy the hand-off prompts below in order.
| Assistant | Give it | Hand off | Avoid |
|---|---|---|---|
| Gemini | Open questions needing current, citable facts, plus images, PDFs and spreadsheets | A sourced research table with dates and links | Final long-form voice work |
| Claude | The full corpus — transcripts, contracts, research tables — tagged in XML | A synthesized brief with quoted evidence and flagged risks | Live facts it cannot look up |
| ChatGPT | The brief plus format and word-count rules | The shipped deliverable, plus variants for testing | Raw 100k-word dumps |
| IBM Project Bob | The repo, the standard to meet, and the deliverable's technical asks | A sequenced migration plan, diffs and tests | Marketing copy and open-ended ideation |
Research → brief → launch copy
Gemini finds and cites the market truth, Claude turns it into a defensible brief, ChatGPT writes the campaign.
- STEP 1 · GeminiGrounded competitor + pricing research, returned as a cited table.
- STEP 2 · ClaudeReads the table plus your docs, writes a positioning brief with risks quoted.
- STEP 3 · ChatGPTTurns the brief into hero copy, ads and a 30-day calendar in your voice.
Discovery calls → product plan → build
Claude holds the raw calls, ChatGPT sequences the roadmap, IBM Bob turns it into an executable engineering plan.
- STEP 1 · ClaudeReads every transcript, clusters the pain by segment with quotes.
- STEP 2 · ChatGPTConverts clusters into scoped epics with success metrics.
- STEP 3 · IBM BobMaps epics onto the real repo with risk, tests and rollback.
Legacy audit → modernization → exec memo
Bob does the technical truth, Claude finds the risk nobody wrote down, ChatGPT makes it land with the board.
- STEP 1 · IBM BobAudits the stack and sequences the upgrade with rollback per step.
- STEP 2 · ClaudeReviews the plan against contracts and compliance docs for unstated risk.
- STEP 3 · ChatGPTCompresses it into a one-page memo with cost, timeline and the ask.
The hand-off rule
A relay only works if every step outputs a structured artifact — a table, a numbered plan, a tagged brief — not prose. End each prompt with: “Return the result as a markdown table with these exact columns, plus a one-paragraph summary I can paste into the next model.” That single line is the difference between a chain that compounds and one that degrades.
Most "best ChatGPT prompts" lists are static — you read them, copy a prompt, paste it into ChatGPT, and immediately have to edit it for your situation. This guide is different: each prompt below is a template with named placeholders, and every section ships with a live tester so you can fill the gaps and run it without leaving the page.
A good business prompt does three things: it puts ChatGPT into a clear role, it loads domain context, and it dictates the shape of the answer. The prompts here follow that pattern so the model returns something you can actually ship — not a generic listicle.
How to use this guide
- Pick the section that matches your job for the next hour.
- Fill the variables with your real context — the more specific, the better.
- Click Run to test the prompt, then refine the variables and re-run.
- Save the winners to your library.
1. Role
Tell the model who it is. "Act as a senior growth marketer at a SaaS company."
2. Context
Load real specifics through variables — audience, constraints, examples, numbers.
3. Output shape
Dictate the format: bullet count, sections, tone, length, what to avoid.
Grade your own prompt
Paste any prompt you already use. You'll get a 0–100 score across role, context, output shape, and constraints — plus a rewritten, variable-ready version.
Business strategy & planning prompts
Use these prompts when you need a senior operator's perspective on positioning, pricing, or roadmap decisions. Each one expects you to load context first — the more specifics you give in the variables, the sharper the output.
One-page business model breakdown
Forces a fast, structured analysis of any business idea — better than freeform 'is this a good idea?' chats.
SWOT with a competitor lens
Anchors SWOT in a real competitor instead of generic platitudes. Great for board updates and pitch decks.
Marketing & growth prompts
These cover the 80% of marketing work a small team actually has to ship: positioning, ad copy, landing-page hooks, and reusable campaign briefs. They assume you'll iterate, so the tone variable matters.
Positioning statement (April Dunford style)
Forces specific 'for / unlike' language instead of generic benefit-speak.
Landing-page hero rewrites (5 angles)
Gives you ammunition for A/B tests instead of one 'best' headline.
30-day organic content calendar
Maps content to funnel stages so you stop posting only top-of-funnel.
Content & copywriting prompts
Long-form content is where ChatGPT either shines or produces bland mush. The fix is structure: give it an outline, a voice, and a job to do per section.
SEO blog outline from a target keyword
Outline-first writing beats prompt-then-edit by a wide margin for ranking content.
Rewrite for a specific voice
Voice-cloning works best when you describe the voice in concrete rules, not adjectives.
Sales & customer-success prompts
Sales prompts pay back fastest when they replace blank-page work — call prep, follow-ups, objection scripts. Always paste the actual context (notes, transcript, deal stage).
Operations & analytics prompts
Use ChatGPT as a junior analyst that drafts the frame, then verify the math yourself. These prompts emphasize reproducible structure over creative flair.
Engineering & product prompts
Treat ChatGPT as a paired reviewer, not a code generator. The wins are in PRD scaffolding, edge-case enumeration, and code review.
Customer support prompts
Support is where tone matters most. These prompts bake in empathy + a clear next step, the two things scripted replies usually miss.
Frequently asked questions
What makes a ChatGPT prompt actually good for business?
Role, context, and output shape. A good prompt tells the model who it is, gives it the specifics of your situation, and dictates the format you want back. Templates with variables enforce that discipline — you can't skip the context step.
Do these work with ChatGPT, Claude, Gemini or IBM Project Bob?
Yes. The structure transfers across modern models, and the guide re-tunes each template for the assistant you pick — XML tags for Claude, grounding rules for Gemini, repo and governance framing for IBM Project Bob. Better still, chain them: see the Stack them together section for three multi-model relay workflows.
Can I save and reuse these prompts?
Yes — sign up free and save any prompt to your library, or fork it into your own personal prompt with your own variables and voice rules.
Why use variables instead of just pasting context?
Variables turn a one-off prompt into a repeatable workflow. You can swap one customer name for another, run the same playbook ten times in a week, and not retype the same instructions every time.
How do I know if my own prompt is any good?
Use the free prompt grader on this page. It scores your prompt out of 100 across role, context, output shape, and constraints, then returns a rewritten, variable-ready version you can test immediately.