20 of the best prompts for AI prompts for online selling, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.

20 of the best prompts for AI prompts for online selling, step by step across 4 stages. Works with ChatGPT, Claude, and Gemini.
Published July 14, 2026
Online selling is a writing and optimization problem at its core. The stores that win have better product descriptions, better ad copy, better review responses, and better email sequences than their competitors. AI solves the speed and scale problem: you can produce a full product catalog's worth of optimized listings, a complete ad campaign, and a multi-email abandoned cart sequence in hours. These prompts cover every stage of the online selling workflow.
The listing is your salesperson. These prompts produce copy that ranks in search and converts browsers into buyers.
Write a full product listing
Write a complete product listing for [PRODUCT NAME]. Category: [CATEGORY]. Key features: [LIST 5-7 FEATURES]. Target buyer: [WHO BUYS THIS AND WHY]. Price point: [PRICE]. Include: a headline (under 80 characters, keyword-rich), a benefit-led intro paragraph (2-3 sentences), a bullet list of 5 key features with a benefit twist on each (not just specs), a longer description (150-200 words) that tells the story of why someone buys this, and a call to action. Optimize for [AMAZON / ETSY / SHOPIFY / EBAY].
Optimize existing product copy
Here is my current product listing: [PASTE CURRENT LISTING]. It is underperforming, low click-through or conversion. Diagnose what is weak: headline clarity, benefit communication, keyword density, bullet quality, or missing trust signals. Then rewrite the title, first 2 bullets, and intro paragraph to the improved standard. Explain what you changed and why each change should improve performance.
Write product titles for search ranking
Write 5 optimized product title variations for [PRODUCT] to rank on [AMAZON / ETSY / GOOGLE SHOPPING]. Main keyword: [PRIMARY KEYWORD]. Secondary keywords: [2-3 SECONDARY TERMS]. Each title should: include the primary keyword early, add a differentiating descriptor, stay under 80 characters (60 for Google), and avoid keyword stuffing. Show which variation you recommend and why.
Turn product specs into buyer benefits
Here are the raw specifications for [PRODUCT]: [LIST SPECS]. Rewrite these as buyer benefits, what each spec means for the customer in their real life. For each spec: write a bullet in the format "[FEATURE] so you can [BENEFIT / OUTCOME]." Avoid technical jargon. The reader is [BUYER PERSONA: DESCRIBE THEIR KNOWLEDGE LEVEL AND WHAT THEY CARE ABOUT]. The goal is to help them visualize why each spec matters to them specifically.
Write product descriptions for a full catalog
I need to write product descriptions for [X] products in the same category: [CATEGORY]. Here is a template approach: [PRODUCT NAME] + [KEY DIFFERENTIATOR] + [TOP 3 BENEFITS] + [WHO IT IS FOR] + [CTA]. Apply this template to these [X] products: [LIST PRODUCT NAMES AND 2-3 FACTS ABOUT EACH]. Each description should be 80-120 words, unique, benefit-led, and ready to publish. Output one per product.
Listings only work when the right buyers see them. These prompts build the ad campaigns and traffic strategies that drive qualified visitors.
Write Amazon Sponsored Products ad copy
Write sponsored ad copy for [PRODUCT] on Amazon. Target keywords: [LIST PRIMARY AND SECONDARY KEYWORDS]. Ad type: [SPONSORED PRODUCTS / SPONSORED BRANDS / DISPLAY]. Write: (1) a headline ad (under 50 characters) that includes the top keyword, (2) 3 alternative headline variations testing different angles (price, benefit, audience), and (3) the brand tagline (under 19 characters) for a sponsored brands ad. Include which keywords to bid on and at what match type (exact, phrase, broad).
Create a Meta shopping campaign
Write a Meta (Facebook and Instagram) shopping campaign for [PRODUCT/STORE]. Target audience: [DEMOGRAPHICS AND INTERESTS]. Campaign objective: [AWARENESS / TRAFFIC / CONVERSIONS / RETARGETING]. Write: primary ad text (under 125 characters for mobile), headline (under 40 characters), and description. Create 3 ad variations: one focused on the product benefit, one on social proof, and one on a specific use case or occasion. Include image direction for each.
Build a Google Shopping feed strategy
Help me optimize my Google Shopping feed for [PRODUCT CATEGORY]. My products include: [LIST 3-5 PRODUCTS WITH CURRENT TITLES]. Common search queries for these products include: [LIST QUERIES FROM YOUR SEARCH CONSOLE OR AMAZON DATA]. Rewrite the product titles to include the top search terms while staying natural. Also recommend: what to include in the description field, how to segment products into ad groups, and which bid strategy to start with.
Write a TikTok Shop product video script
Write a 30-second TikTok Shop video script for [PRODUCT]. Hook (0-3 seconds): immediately show or describe the problem this product solves. Demo (3-20 seconds): show the product in use, leading with the most visual or surprising element. Proof (20-25 seconds): one social proof element (reviews, sales number, or customer reaction). CTA (25-30 seconds): clear buy now instruction. Write for natural speech. Include on-screen text suggestions at each moment.
Plan a seasonal sales campaign
Plan a complete seasonal sales campaign for [PRODUCT/STORE] around [HOLIDAY/EVENT: BLACK FRIDAY / PRIME DAY / VALENTINE'S DAY / ETC.]. Campaign window: [DATES]. Budget: [AMOUNT OR "TBD"]. Include: pre-campaign teaser (1 week before), launch day ads and email, mid-sale content to drive urgency, last-chance push (final 24 hours), and post-sale follow-up. For each phase: the message, the channel, and example copy for one ad or email.
Traffic without conversion is wasted spend. These prompts improve the store elements that turn visitors into buyers.
Write homepage copy for an online store
Write homepage copy for [STORE NAME], a [TYPE OF STORE] selling [PRODUCTS]. Target customer: [WHO]. Main value proposition: [WHAT MAKES YOU DIFFERENT]. Include: a hero headline (under 10 words, benefit-led), a sub-headline (1-2 sentences expanding on the value), 3 feature/benefit blocks (headline + 2 sentences each), a social proof element, and a primary CTA button. Keep the hero section under 50 words total.
Write a product FAQ section
Write an FAQ section for [PRODUCT] that handles the questions buyers ask before purchasing. Common concerns for this product category: [LIST WHAT YOU KNOW: SIZING, MATERIALS, SHIPPING, RETURNS, COMPARISONS, COMPATIBILITY]. Write 8-10 FAQ entries that are honest, specific, and written to convert, not just to answer the question but to remove the final objection to buying. Format as expandable Q&A suitable for a Shopify or WooCommerce product page.
Improve abandoned cart emails
Write a 3-email abandoned cart sequence for [STORE/PRODUCT]. Email 1 (1 hour after abandonment): gentle reminder, no discount. Email 2 (24 hours after): address the most likely objection [WHAT YOU THINK STOPPED THEM: PRICE / UNCERTAINTY / JUST BROWSING] with one piece of social proof. Email 3 (72 hours after): a modest incentive if appropriate [DISCOUNT OR BONUS], urgency if stock is limited, clear CTA. Each email under 150 words. Subject lines for each.
Write trust-building elements for a store
Write the key trust elements for [STORE/PRODUCT PAGE]: (1) a returns policy summary (3-4 sentences, clear and generous-sounding), (2) a shipping promise (specific time frame, clear conditions), (3) a "Why buy from us" section (4-5 short bullets, benefit-focused, specific not generic), (4) a review request email to send post-purchase, and (5) a refund/support guarantee statement (under 30 words, goes near the buy button). All should reduce purchase anxiety.
Analyze and improve conversion rate
Help me diagnose a conversion rate problem on my [PRODUCT PAGE / STORE]. My current conversion rate is [X%]. Average for my category is [BENCHMARK IF KNOWN]. My traffic source is mainly [ORGANIC / PAID / SOCIAL]. Here is what my page currently includes: [DESCRIBE: IMAGES, COPY, REVIEWS, PRICE, SHIPPING INFO, ETC.]. Identify the 3 most likely conversion killers and give me a specific fix for each, ranked by expected impact.
Every sale generates data. These prompts turn customer behavior and feedback into actionable improvements.
Respond to negative reviews professionally
Write professional responses to these negative reviews for [PRODUCT/STORE]: [PASTE 3-5 NEGATIVE REVIEWS]. Each response should: acknowledge the specific issue (not a generic apology), take responsibility where warranted without over-apologizing, explain what was done or will be done, and invite the customer to contact you directly. Keep each under 100 words. Do not use the same opening phrase for every response.
Analyze review themes for product improvement
Here are [X] customer reviews for [PRODUCT]: [PASTE OR SUMMARIZE REVIEWS]. Analyze them for: (1) the top 3 things customers love (reinforce in marketing), (2) the top 3 complaints or frustrations (product or experience issues to fix), (3) exact phrases customers use to describe the product (use in listings and ads), (4) what they say they use it for (may reveal unintended use cases to market), and (5) any comparison to competitors mentioned. Summarize in a usable format.
Write a post-purchase email sequence
Write a 4-email post-purchase sequence for [PRODUCT/STORE]. Email 1 (confirmation): order details + excitement + what to expect next. Email 2 (delivery): it's on its way + usage tip or setup guide link. Email 3 (7 days after delivery): check-in, usage tip, invite to review. Email 4 (30 days after): loyalty offer or cross-sell to related product. Each under 150 words. Goal: build loyalty, reduce support contacts, generate reviews.
Identify upsell and cross-sell opportunities
Help me identify upsell and cross-sell opportunities for [STORE]. My top 5 products are: [LIST WITH BRIEF DESCRIPTION]. For each product: recommend 1-2 natural cross-sells (complementary products) and 1 upsell (premium version or bundle). Then write a 2-sentence product recommendation script for each that could appear on the product page, in cart, or in a post-purchase email. Make the recommendations feel helpful, not pushy.
Write a loyalty and repeat purchase campaign
Design a loyalty campaign to drive repeat purchases for [STORE]. My average customer buys [FREQUENCY]. The most common second purchase is [PRODUCT IF KNOWN]. The campaign should include: a thank-you offer for the first purchase (small, creates habit), a re-engagement email at [X DAYS] for customers who have not purchased again, a rewards structure (simple, clear, achievable), and a VIP tier for top buyers. Write the email copy for the first 2 touchpoints.
Yes, with the right inputs. AI needs to know: what the product is, who buys it and why, the primary keywords it should rank for, and the platform (Amazon, Etsy, Shopify each have different optimization priorities). Generic product descriptions produce average results. Product descriptions built from specific buyer language, real use cases, and targeted keywords outperform generic ones consistently.
ChatGPT handles product listing and ad copy well because it produces concise, punchy short-form content quickly. Claude is better for longer store copy, email sequences, and structured content like FAQ sections. For high-volume catalog work (writing descriptions for 50+ products), ChatGPT with a consistent template prompt is faster. For a single high-stakes product page or brand homepage, Claude produces more polished output.
Paste the actual review text and ask the AI to write a response that is specific to that complaint, not a generic template. Always review the output before posting and add any personal detail the AI could not know (a specific resolution you offered, the customer's name, what changed since). The goal is a response that sounds like a real person who read the review carefully, not a customer service template.
Using AI-generated copy without reviewing it for accuracy. AI will produce confident-sounding descriptions, but it does not know your actual product dimensions, materials, or what is included in the box. Always check AI-generated product copy against the real product specs before publishing. Inaccurate listings lead to returns, negative reviews, and account penalties on platforms like Amazon.