50 Ready-Made ChatGPT Prompts (Business, Marketing, SEO)

How is a ready-made ChatGPT prompt used?

1. Replace [topic], [audience] and the other brackets in the prompt with real information.
2. Add the text, table or document that affects the goal. Don't expect the model to guess facts it doesn't know.
3. Refine the language, length, sources and forbidden claims as needed.
4. In the first answer, pick one main problem and fix it with a follow-up request; don't restart everything.
5. Verify names, numbers, dates, quotes and legal/medical/financial claims against primary sources.

OpenAI's current prompting guide lists a clear task, the necessary context, appropriate scope and iterative work as core principles. This list was built with the same approach. Delete the parts you won't use; artificial length is not precision.

1–10: Ready-made prompts for writing and content

1. "Clarify this draft for [audience]: [text]. Don't change the meaning or the facts. Point out repetition, empty adjectives and unclear terms separately; then give the edited version."
2. "Write an email of at most [word count] words for [goal]. The reader is [who]. First paragraph states the situation, second the decision, and the last sentence a concrete next step."
3. "Summarise this long document by decision, evidence, risks, open questions and next steps: [document]. Don't add conclusions absent from the document; write a page number for each claim."
4. "Write a social post of up to 900 characters about [topic]. Include one observation, one argument and one question the reader would ask about their own work. Don't add fake statistics or hashtags."
5. "Translate this text into natural Azerbaijani: [text]. Don't change proper names, show the core term with its English equivalent on first use, mark any ambiguous sentence as [clarify]."
6. "Prepare an FAQ for [product/service]. Rely only on this source: [source]. Each answer is 2–4 sentences; don't write prices, guarantees or features not in the source."
7. "Turn these notes into a one-page executive summary: [notes]. Give the decision first, then the three key pieces of evidence, the risks and the action required from leadership."
8. "Build an 8-slide presentation flow for [topic]. Each slide has one core idea, the proof it needs and a speaker note. The last slide compares the options against their risks."
9. "Extract the factual claims in this text: [text]. Use a table with columns for the claim, dates that may change, the source type needed and verification status. Don't fill in facts yourself."
10. "Derive a voice rule from these three real samples: [samples]. Then edit [text] to match that rhythm. Don't invent new stories, conclusions or personal experiences."

11–20: Ready-made prompts for business and sales

11. "Prepare 12 non-leading customer interview questions for [product]. Ask about past behaviour, alternatives, costs and the decision moment — not opinions."
12. "Build a sales call plan from this customer brief: [brief]. Before the pitch, give questions that clarify the situation, the problem, the impact, prior attempts and the decision process."
13. "Write a proposal skeleton for [customer problem]: situation, goals, scope, deliverables, timeline, price, acceptance criteria and out-of-scope work."
14. "Answer this sales objection without pressure: [objection]. Acknowledge the concern, respond only with the facts given, and propose a safe next step."
15. "Write three value propositions based on [audience], [problem] and [outcome]. Note what each variant would have to prove — and its weak side."
16. "Compare [alternatives] in a decision matrix against [criteria]. Show the weights first, write no data for any unevidenced score, and don't pick the final winner automatically."
17. "Design a 7-day pilot for [hypothesis]. Include a baseline metric, a test group, an acceptance threshold, a stop condition, a responsible person and a daily log format."
18. "Extract the business questions from this contract text: [text]. Check the scope, payment, delivery, revisions, usage rights and termination sections; don't issue legal judgments."
19. "Build a KPI tree for [business goal]. Give one outcome metric, the leading measures ahead of it, and guardrail criteria that prevent inflating the result."
20. "Turn this week's data into a decision memo: [data]. Separate what changed, the possible cause, the counter-evidence, the next test and the responsible person."

For deeper sales and operations scenarios, you can use the prompts for business library separately.

21–30: Ready-made prompts for marketing and SEO

21. "Build a landing page skeleton for [offer]. Give the sequence of hero, problem, proof, process, objection answers and CTA; explain each section's purpose in one sentence."
22. "Write 10 CTAs for [page goal]. Each variant shows the next action and the outcome the user gets; don't create false urgency."
23. "Prepare 15 email subject lines for [campaign]. No clickbait and no false promises. Note the curiosity mechanism behind each line in three words."
24. "Build a 5-email onboarding series for [audience]. Each email has one goal, one proof, one obstacle and one next step."
25. "Determine the search intent for [keyword]. Show the user's first question, their next three questions, the decision stage and the evidence the page needs."
26. "Prepare a repetition-free SEO outline for [topic]. Include a direct answer, a comparison, steps, mistakes, an FAQ and the claims that require sources."
27. "Write 10 SEO titles of 50–60 characters for [topic]. Keep the keyword natural, differentiate each variant's promise and show the character count."
28. "Write 8 meta descriptions of 140–160 characters for [page]. Show the concrete benefit, don't add advantages absent from the text and write the character count."
29. "Find the real content gap between these two texts: [text A] and [text B]. Extract not the overlap but the user question left unanswered and the proof required."
30. "Build a 30-day content plan for [audience]. Balance education, comparison, proof, objection and offer topics; tie every idea to one business goal."

31–40: Ready-made prompts for analysis, data and process

31. "Run a data-quality audit for this dataset: [columns/description]. Check empty values, duplicates, formats, dates, outliers and possible bias separately."
32. "Analyse [campaign data] by outcome, cost, leading signals and the next test. Don't present correlation as causation; show the calculation."
33. "Select a minimal dashboard for [decision]. Write which decision each metric changes; separate out any number that doesn't affect the decision."
34. "Map [process] as trigger, input, decision, operation, approval, output and exceptions. Flag steps with no known owner."
35. "Select automation candidates in this process: [steps]. Separate the rule-stable, repetitive and reversible work; keep risky decisions with a human."
36. "Write test scenarios for [system] covering normal, incomplete, contradictory and risky inputs. Add the expected behaviour and acceptance criteria to each."
37. "Write a short SOP for [job]: purpose, inputs, steps, acceptance criteria, frequent mistakes, escalation and the responsible person."
38. "From this meeting note extract only the decisions, owners, dates and open issues: [note]. Don't mix proposals with adopted decisions."
39. "Write SQL for [result] based on [database schema]. Explain the join logic, the date filter and the double-counting risk; note any column you assumed."
40. "Suggest an Excel formula for [goal]. Show a sample column, the formula, how it works and three edge cases, including empty and erroneous values."

41–50: Prompts for learning, career and daily work

41. "Build a 4-week learning plan for [skill]. Each week has a theory part, real practical work, an unaided check, and a simplified minimum plan for when I fall behind."
42. "First give me five diagnostic questions about [topic]. Choose the explanation level from my answers; don't show ready answers up front, guide me with hints."
43. "Explain this article in plain Azerbaijani: [text]. Keep the core terms, then ask me to explain the concept in my own words and give one example."
44. "Compare this CV against the vacancy: [CV] and [listing]. Don't add invented skills; separate the provable matches, the gaps and the questions to clarify at interview."
45. "Run interview practice for [role]. Ask the questions one at a time; after each of my answers write brief feedback on specificity, evidence and results."
46. "Organise my notes for this week: [notes]. Extract finished work, causes of delays, what I learned and three realistic priorities for next week."
47. "Prepare a 30-minute meeting agenda for [goal]. Turn information sharing into pre-reading, keep the meeting time for decisions and open disputes."
48. "Run a blameless retrospective for [project outcome]. Ask about expectations, facts, the gap, controllable causes and one behaviour to change next time."
49. "Sort today's tasks [list] by impact, urgency and dependency. Show the work that won't fit in one day and justify what gets postponed."
50. "Find five safe ChatGPT use cases in my work as [profession/role]. For each write a sample prompt, the human check required and the data that must not be uploaded."

Example 44 is not for writing your CV for you; it's for seeing the gap between what the listing demands and the evidence you have. Preparing the fact pack, removing personal data and the final audit are given step by step in the preparing a CV with AI guide.

If a ready-made prompt returns a weak answer, what should change?

In its current ChatGPT guide, OpenAI recommends refining prompts as a conversation and splitting complex work into smaller requests. Instead of "rewrite it," name the error. For more systematic editing, move on to the 10 rules of prompt writing.