How to Write Effective ChatGPT Prompts — 90 Ready-to-Use Examples

Effective prompts are the foundation of productive work with ChatGPT — and the quality of your prompts, not the tool's capabilities, determines what you actually get out of it. Writing effective prompts is a concrete, learnable skill worth developing deliberately — especially in marketing, where time and content quality have real business impact. In this article, I show you how to write prompts that deliver predictable, useful results across content marketing, SEO, Google Ads, social media, e-commerce, and customer service.

In this article, you'll learn:

• what a prompt is and why its quality determines your AI output
• how to write prompts for content creation — articles, descriptions, meta data, and FAQ
• which prompts to use for SEO and Google Ads campaigns
• how to use ChatGPT for social media — from Instagram to LinkedIn and TikTok
• which prompts work best for e-commerce and customer service
• how to support strategic planning and marketing with AI

What Is a Prompt in ChatGPT?

A prompt is simply an instruction you send to ChatGPT — a question, command, scenario, or context that the model uses to generate a response. ChatGPT understands natural language, so you can write to it the way you'd write to a person. But remember: the better you formulate that instruction, the better the response. It's the quality of the prompt that determines whether you get something useful or another generic text you'll have to rewrite anyway — one that won't differentiate you from the competition in any way.

In my work with clients and in training sessions, I've seen that ChatGPT works best as a tool for creating website and blog content, writing social media posts and campaigns, building newsletters and email sequences, supporting SEO efforts (from keyword research to content briefs), writing Google Ads copy, and speeding up everyday marketing tasks like analyses, reports, and review responses.

How to Write AI Prompts for Content Creation

A list of prompts alone won't help much if you don't know how to use it. That's why I don't leave you with a bare list — for each category, I show you when and how to use specific prompts so they actually deliver results.

At the content planning stage, start with these prompts:

• Generate blog article ideas for a company in [industry] whose audience is [persona] — add a persona, otherwise you'll get a list of generalities
• Generate a monthly content calendar targeting keywords: [list] — works great as a starting point, but always verify results in SEO tools like Ahrefs or Semrush
• Suggest related keywords, both broad and long-tail, for content about: [topic] — I use this as quick research before doing the real work in a keyword tool

When building article structure:

• Prepare a proposed H1 headline and 5 H2 subheadings for an article about [topic] — a good starting point, but always adjust the structure to match search intent, not just what the model suggests
• Write an article outline on [topic]. Include the following elements: [list] — the key phrase here is "include the following elements." Without it, the outline will be generic

When writing specific sections:

• Write an introduction for an article on [topic] in [style — expert, how-to, storytelling]
• Expand the following outline point: [section title] — this is my favorite way to work with AI: section by section, never all at once. The results are significantly better
• Prepare a FAQ section with 5 questions and answers for an article about [topic] — FAQ sections are gold for AI SEO. Perplexity and ChatGPT Search love to cite them

For meta data — one of the best AI use cases:

• Write a title and description for content about [topic]. Limits: max 60 characters for the title and 150 characters for the description. Use the keyword [phrase] in nominative form — this works, but always check character counts manually. ChatGPT regularly exceeds the limits

For editing and improving existing content:

• Analyze and rewrite the following text to make it more engaging for readers: [text]
• Change the tone of the following content to more formal / conversational / expert: [text]
• Check the following text for spelling and grammar errors — useful, but doesn't replace human proofreading, especially for industry-specific texts

Prompts worth skipping or using cautiously:

• Analyze this post for plagiarism — ChatGPT doesn't have real-time internet access, so this function is severely limited. Use dedicated plagiarism tools instead
• Create a compilation of statistics about [topic] — risky. The model hallucinates numbers and sources. If you use this, verify every statistic individually

Best ChatGPT Prompts for SEO

SEO is an area where ChatGPT works surprisingly well — but only if you know how to guide it. The key rule: the more context you provide, the more useful the results. Don't ask "find keywords for a shoe store" — ask like a specialist.

Keyword research:

• Create a keyword list for [describe site: industry, offering, target audience, operating region] — without this context, you'll get a list of generalities you could have generated yourself. Remember: ChatGPT won't replace Ahrefs or Semrush, but it's excellent as a brainstorming starting point
• Find question-based keywords on the topic: [topic] — this is one of my favorite prompts for AI SEO. Question-based phrases are now essential for visibility in Perplexity, ChatGPT Search, and Google SGE. If your content doesn't answer specific questions, you're losing traffic that increasingly bypasses traditional Google results

Clustering and intent:

• Divide the following keywords into thematic clusters: [paste keyword list] — I use this regularly before planning content architecture. ChatGPT does this quickly and quite sensibly, though I always make the final decision myself
• Categorize these keywords by user intent: informational, navigational, transactional, commercial. Organize the data in a table: [paste keyword list] — this is a prompt that saves hours of work. Intent analysis is fundamental to good SEO, and manually categorizing 100+ keywords is tedious. This is where AI truly helps

My practical tip: treat ChatGPT as an SEO assistant, not an SEO tool. Verify every result against data — search volume, competition, trends. The model doesn't have access to current search data, so everything it generates is a hypothesis to check, not a ready conclusion.

ChatGPT Prompts for Google Ads Campaigns

Google Ads is one of those areas where ChatGPT can genuinely speed up your work — but also one where blindly copying model outputs can hurt your campaigns. Before I show you the best prompts, let me be direct: AI doesn't know your account, campaign history, or conversion data. Everything it generates is a starting point — not a finished strategy.

Campaign planning:

• Create a Google Ads campaign plan for [describe product/service], targeting [describe audience: age, interests, buyer journey stage]. Define the campaign goal, key messages, value proposition, and suggested campaign types — a good prompt at the briefing stage, especially when you're starting work with a new client and need a framework to discuss. But don't treat it as a ready strategy — it's material for discussion, not implementation

Headlines and ad copy:

• Write 15 headlines for a [product/service] Google Ads ad. Each headline max 30 characters. Include the keyword [phrase] in at least 5 headlines. Target audience: [description] — always specify the character limit, otherwise you'll get headlines that won't fit in the system. And always generate more than you need — from 15, you'll pick 5 really good ones
• Create a call to action for a [product/service] ad. Target audience: [description]. Funnel stage: [awareness / consideration / decision] — funnel stage is an element most people skip, but it completely changes the character of the CTA. You write a different CTA for someone hearing about the product for the first time than for someone ready to buy

Campaign structure:

• Create a Google Ads campaign structure broken into ad groups. Keywords: [list]. Suggest ad group names and assign the appropriate keywords to each — useful for large campaigns with many product groups. ChatGPT organizes keywords thematically efficiently, though final match type decisions are yours

A/B testing:

• Propose an A/B testing plan for a Google Ads campaign promoting [product/service]. Include: what we're testing, variant A and B, success metric, and suggested test duration — one of the better-performing prompts in this category, because it forces structured thinking about the test. Without a success metric, A/B tests are meaningless, and ChatGPT will remind you of that if you guide it properly

Important note you won't find in other articles: ChatGPT doesn't have access to your Google Ads account, historical data, or CPC rates in your industry. It won't ask about your Quality Score or check whether your landing page aligns with your ad. You need to handle those elements yourself — the model is a copywriting assistant here, not a campaign strategist.

How to Write ChatGPT Prompts for Social Media

Social media is an area where ChatGPT works exceptionally well — mainly because Facebook or Instagram content carries relatively low risk of factual error but high demand for creativity and consistency. This is where AI genuinely takes the load off. But there's one condition: you need to write prompts for a specific platform, specific format, and specific audience. "Write an Instagram post" is the worst prompt you can write.

Planning and calendar:

• Create a monthly social media content calendar for [describe brand, industry, target audience]. Include platforms: [list]. For each post, specify: topic, format (post, reel, carousel, stories), communication goal (education, engagement, sales), and suggested publication day — the more context, the better the calendar. Without specifying formats and goals, you'll get a topic list, not a plan

Instagram — posts and carousels:

• Write an Instagram post caption about [topic]. Start with an intriguing sentence that isn't a question. Use emojis, add spacing between paragraphs for readability. Add 10 hashtags matched to the topic and industry [specify industry] — this prompt works because it has specific formatting guidelines. Spacing in text is a detail that really makes a difference in mobile readability
• Prepare an Instagram carousel on [topic]. For each slide, write ready-to-copy text — no instructions, just content. Slide 1: attention-grabbing title. Slides 2–7: specific points. Final slide: call to action. After the carousel, write a post caption with emojis and hashtags — one of the better-built prompts in this category. The key is "no instructions, just content" — otherwise ChatGPT describes what should be on the slide instead of writing the content
• List [number] Instagram Reel ideas for [describe brand/industry]. For each idea, specify: topic, hook (first sentence/frame), format, and goal — just "list reel ideas" will give you clichés. Ask for the hook — the first 2 seconds of a reel determine whether someone stays or scrolls past

Facebook and ads:

• Write ad copy for [describe product/service]. Act as a social media advertising expert. Copy: 100–150 words, attention-grabbing headline, strong CTA. Target audience: [describe in detail] — a good prompt, but I'd add one more element: "Write three variants — one emotional, one benefit-driven, one problem-driven." That gives you ready A/B test material right away

LinkedIn:

• Write a company description for LinkedIn for [company name, industry, offering, target audience]. Style: professional but not corporate. Length: 2–3 paragraphs — LinkedIn has a specific language and ChatGPT defaults to writing too formally. Adding "not corporate" genuinely changes the tone of the response
• Write a LinkedIn post promoting [product/service/event] for the audience: [describe]. Include a personal insight or opinion from the author in the first paragraph — LinkedIn posts without a personal angle get significantly less organic reach. Ask the model for this element explicitly

YouTube:

• Write a YouTube video description for a video titled [title]. Act as an expert in [industry]. In the first 2 sentences, explain what the viewer will take away from watching. Add timestamps if the video has chapters. Include the keyword [phrase] in the first sentence — YouTube descriptions are indexed by Google, so a keyword in the opening sentences has real SEO impact
• Write a YouTube video script on [topic]. Structure: hook (15 seconds), problem, solution, arguments, CTA. Style: [conversational/expert/educational]. Target length: [X minutes] — without structure, you'll get an essay. Specifying length in minutes helps the model pace the content

Influencer marketing:

• Write a message to an influencer working in [industry/niche] with a collaboration proposal for [describe campaign]. Include: why this specific person, what you're offering, what you expect, and the next step — there's a catch here: ChatGPT will write the message but doesn't know the specific influencer. Provide their name, a few details about what they do and their style — then the message will be personalized, not a mass cold email

TikTok:

• List [number] TikTok content ideas for a company in [industry]. For each idea, specify: format, hook, trend or sound that could be used, and goal (reach/sales/community building) — TikTok plays by different rules than Instagram and LinkedIn. If you don't ask for references to trends and hooks, you'll get ideas that could just as easily be from 2018

ChatGPT Prompts for E-Commerce

E-commerce is one of those areas where ChatGPT can save dozens of hours per month — especially with large product catalogs, where writing descriptions manually is simply inefficient. But here the iron rule applies: garbage in, garbage out. The better you describe the product in your prompt, the better the description you'll get. Don't expect the model to somehow figure it out from a vague instruction.

Product descriptions:

• Write a product description for [product name]. Attributes: [list of technical features]. Include keywords: [keyword list]. Style: [expert/conversational/comparative]. Length: [X words]. Write the description from the perspective of buyer benefits, not a parameter list — that last element is critical. By default, ChatGPT writes technical descriptions — you have to explicitly ask for benefit-focused language, otherwise you'll get a dry spec sheet
• Act as an e-commerce merchandising specialist. Write a product title for [product] by [brand]. Include: the main keyword, a key product feature, and a differentiator from competitors. Maximum 70 characters — the product title is one of the most important SEO elements in e-commerce, and most stores neglect it. The character limit isn't random — that's what Google displays in search results

Store pages and content:

• Write the "About Us" page content for an online store selling [product category]. Include: brand mission, target audience, values, competitive differentiator, and a trust-building element (e.g., years of experience, certifications, customer count). Style: [warm/professional/expert] — the About Us page is one of the most visited subpages in a store and one of the most neglected. ChatGPT can genuinely help here, but it needs real data about the company — it won't invent your brand story for you
• Write a meta title for [URL or category page name]. Include keywords: [list]. Maximum 60 characters. Main keyword at the beginning of the title — same as with articles: always check length manually

FAQ and customer support:

• Think like an e-commerce expert and write 10 frequently asked questions about [product/store/service]. For each question, write a comprehensive answer. Include questions about: shipping, returns, payments, product use, and common buyer concerns — an FAQ section on a product page is an element that genuinely boosts conversions and reduces support tickets. Adding question categories to the prompt ensures the model doesn't stick to the obvious

Demographics and persona:

• Generate 10 detailed demographic profiles of potential customers for a store selling [product category]. For each profile, specify: age, gender, lifestyle, purchase motivation, main objection before buying, and the channel easiest to reach them through — demographics alone aren't enough. Motivation and objection are the elements that actually influence how you write product descriptions and ads

Strategy and assortment development:

• Act as an e-commerce advertising specialist. Propose a promotional strategy for [product/brand]. Include: target audience, key messages for each buyer journey stage, recommended media channels with justification, and KPIs for measuring effectiveness — without KPIs, a strategy is a statement of intent, not an action plan. Always ask for success metrics
• Act as an e-commerce development specialist. Propose an assortment expansion for a store selling [category]. Current assortment: [list]. Include: complementary products, higher-margin products, and growing categories in this niche — this is a prompt that can deliver real business value. But treat the results as hypotheses to verify against sales data and market trends, not as a ready purchasing decision

Customer Service and Sales Prompts for ChatGPT

Customer service is one of the areas where I see the most resistance to AI — and simultaneously the biggest potential for relieving team workload. ChatGPT won't replace a human in difficult, emotional conversations with customers, but it can take over all the repetitive, formulaic communication that eats up time. The key is preparing templates and prompts before a specific situation arises — not in the middle of a crisis.

Communication templates:

• Create an email reply template for customers asking about [product/service]. Include: greeting, answer to the question, suggested next step, and CTA. Tone: [professional/warm/helpful]. Leave spaces for the employee to fill in, marked with [brackets] — templates with fill-in spots are the gold standard of customer service. ChatGPT generates them well, but you need to explicitly ask for marked personalization spots, otherwise you'll get a finished text with no flexibility
• Write an email response to a customer reporting a problem: [describe problem]. Tone: empathetic but specific. Include: acknowledgment of the problem, explanation of the situation, solution or next step, apology if the fault lies with the company — there's an important nuance here: ask for empathy and specifics simultaneously. Just "be empathetic" alone produces bland, corporate responses
• How should I respond to this customer message in a helpful and professional way? [paste customer message]. Context: [describe situation, company policy, what you can offer] — this is a prompt I recommend to every customer service team as a daily tool. Context is key — without it, the model doesn't know what the company can and can't offer

Knowledge base and FAQ:

• Generate a list of 15 frequently asked questions about [product/service/company] with comprehensive answers. Include questions about: usage, technical issues, returns, shipping, and pricing — a good FAQ is an investment that pays off through fewer support tickets. Categorize questions in the prompt, otherwise the model will focus on the obvious
• Summarize the following knowledge base article as a step-by-step guide for the customer. Use simple language, avoid technical jargon: [paste article] — a great prompt for simplifying complex instructions, especially when you have technical documentation that needs translating into customer-friendly language
• Generate a list of common customer problems with [product] and propose a solution for each in table format: Problem | Possible cause | Solution — the table format is key here. You'll get material ready to paste into a knowledge base or consultant script

Sales and cross-selling:

• What cross-selling and up-selling opportunities do I have in a store selling [product category]? For each suggestion, specify: main product, complementary product, and the sales argument a consultant can use or that can be built into the product description — just "what cross-selling opportunities do I have" will give you generalities. The sales argument in this prompt is the element that translates a suggestion into real action
• Identify strategies for reaching potential customers in [industry]. For each strategy, specify: channel, specific action, target audience, and estimated implementation cost (low/medium/high) — without cost estimates, you'll get a list of things "worth doing" with no prioritization
• Suggest creative lead generation methods for an online store selling [category]. Include both organic and paid approaches, divided into short-term and long-term — the time horizon split is key here, because lead generation is a marathon, not a sprint

Chatbots and automation:

• Write 5 greeting variants for a chatbot in a store selling [category]. Each variant in a different tone: [formal, friendly, helpful, expert, humorous] — if you're building a chatbot, always test different tones. What sounds good in your head doesn't necessarily resonate with the customer
• Write 5 closing variants for a chatbot that include a request to rate the conversation. Each in a different tone — ending a conversation with a feedback request is the simplest form of collecting service quality opinions. Worth building into your chatbot script from the start

Prompts I'd skip or significantly modify:

• List 10 phrases expressing empathy — too generic to be useful. Instead, ask for empathetic phrases in a specific context — for a complaint, for a delivery delay, for a technical issue. Context makes all the difference
• What customer service mistakes do companies in industry X make? — an interesting prompt at the research or training prep stage, but not suitable for direct implementation in customer service

Other Marketing Activities — ChatGPT Prompts

ChatGPT works well not only for content creation and customer service — it can be a real support at the strategic planning stage and for creating content formats. But I'll say upfront: the more strategic the prompt, the more the result requires your verification and supplementation with data the model simply doesn't have. AI doesn't know your market, your customers, or your competitors — you do. Treat results in this category as frameworks to fill in, not ready answers.

Content and video/audio formats:

• Write a podcast episode script on [topic]. Include: opening hook (30 seconds), 3–4 main points with development, guest questions or points for solo discussion, CTA at the end. Style: [conversational/expert/storytelling]. Episode length: [X minutes] — podcast scripts are one of the better AI use cases in content marketing. Specifying length is key — it forces proportions between sections
• Suggest 10 topics for a podcast / webinar / training for [describe business, target audience, audience expertise level]. For each topic, specify: title, main audience problem it solves, and format (solo/guest/Q&A) — topics without audience context are a list of generalities. Expertise level is particularly important here — you plan content differently for beginners than for advanced audiences
• Write a script for a virtual product launch for [describe product]. Include: event time structure, tension and engagement building points, interactive elements, CTA at each stage, and a method for keeping the audience to the end — online launches have a viewer drop-off problem after the first few minutes. Explicitly ask for engagement-maintaining elements — the model knows how to build them into the structure

Market analysis and strategy:

• Conduct a target audience analysis for a company in [industry] offering [product/service]. Include: audience segments, their main problems and motivations, objections before buying, and channels to reach them — a good starting point for a strategic brief, but remember: ChatGPT generates hypotheses based on general industry knowledge here, not on data about your customers. Verify results through surveys, interviews, or Google Analytics
• Identify key market segments in [industry] and assess which represents the biggest opportunity for a company offering [describe offering, company size, resources]. Include criteria: segment size, competitiveness, and barriers to entry — without describing your resources and offering, the model will point to the "biggest" segment, not the most achievable one. That's a fundamental difference in strategic planning
• Develop a go-to-market timeline for [describe product]. Include: phases (pre-launch, launch, post-launch), key tasks in each phase, suggested timelines, and responsible departments or roles — one of the most useful prompts in this section. A timeline with phase and role breakdowns gives you real material to work with as a team

Persona and segmentation:

• Create a detailed customer persona for [product/service]. Include: demographics, goals, frustrations, information sources, objections before buying, and a quote this customer might say about their problem — the quote in a persona is an element most marketers skip, but it's incredibly helpful when writing copy. When you have a sentence your customer "might say," writing headlines and ads becomes much easier
• Suggest audience segmentation approaches for an online store selling [product category]. For each segment, propose: segmentation criterion, group characteristics, and recommended marketing communication — segmentation without communication recommendations is an academic exercise. Always ask what to do with the knowledge

Channels and brand image:

• Choose the most effective marketing channels for [describe product/service, target audience, budget: low/medium/high, company stage: startup/growth/maturity]. For each channel, specify: justification, estimated implementation cost, and KPI — without budget and company stage information, you'll get a list of every possible channel with no prioritization. This is the most common mistake when using these types of prompts
• How to build a strong brand image for [describe business, target audience, current brand status: new/rebrand/established]. Include: positioning, tone of voice, key messages, and cross-channel consistency — brand building is a topic for a strategy, not a single prompt. Treat the response as a skeleton to develop with your team, not as a finished brand book

How to Write AI Prompts — Summary

Effective prompting is a skill that — like any other — develops with practice. You don't need to write perfect prompts right away. You need to start writing them deliberately: with context, with a defined role for the model, with a specific expected response format, and with a clearly defined goal.

From my experience, the biggest quality shift doesn't come immediately — it comes when you stop treating ChatGPT like a search engine and start treating it like an experienced assistant you need to brief properly. The more context, constraints, examples, and tone you give it, the better it reciprocates with response quality.

But remember one iron rule: AI is a tool, not an expert. Every result requires your verification — especially when it comes to data, statistics, and factual claims. The model can be wrong with full confidence. Your knowledge, experience, and judgment are elements no prompt can replace — and that's exactly why a good marketer with AI is more effective today than a marketer without AI, but also more effective than AI without a marketer.

FAQ

What are the key elements of a good prompt?

A good prompt should be clear and precise, contain the right questions and information that enable the AI to understand the user's goal. It should also be adapted to the interaction format — for example, if it's a chatbot, it should be short and easy to process.

How to avoid misunderstandings when communicating with AI?

It's important to avoid overly complex phrases or sentences that could mislead the AI. It's also important to answer questions clearly and precisely rather than using vague responses. If you're unsure, always ask questions about the interaction process.

How to use data from AI interactions to improve future interactions?

Data from AI interactions is a valuable source of information about user preferences and system usage. That's why it's important to collect and analyze this data to improve future interactions. This can be done, for example, by tracking response times and identifying the most frequently asked questions.

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