These are examples of how you can prompt the agent to get the desired output. The more you explain your current process in 3 to 4 sentences, the better the output will be.
Optimize bullet points using competitor ranking keywords and review analysis
For my ASIN, analyze my top 5 competitors’ top ranking keywords and customer reviews to identify high-performing keywords and customer pain points. Update my bullet points to include competitor ranking keywords while highlighting features customers value most. Keep the same format as my current listing but optimize for conversion and keyword relevance.
Optimize product images based on competitor analysis and reviews
Can you compare my ASIN images with my top competitors and tell me what I should improve? Also look at competitor customer reviews to find out what customers like the most about these products, so I can highlight them in my images. Provide specific recommendations for each image slot.
For my ASIN, identify top relevant competitors and extract keywords they are ranking for but I’m not ranking enough. Sort the keywords by search volume and create a list of backend search terms that complement my current title and bullet points without duplicating title and bullet point keywords.
For my ASIN, analyze my top performing keywords from search term reports and competitor ranking keywords to create a seed keyword list. Prioritize keywords with high search volume (1000+) and low competition that should be integrated into my title, bullets, and backend search terms.
Analyze listings and pricing impact on sales performance
Note: This workflow generates output only after running over two time periods, as it compares data from Time 1 to Time 2.For my ASIN, analyze the correlation between my listing changes (title, bullets, images, price) and sales performance week over week.
Score listing quality against competitors (1-5 rating)
For my ASIN, score my listing quality against competitors on a scale of 1-5 for title optimization, bullet point effectiveness, image quality, keyword coverage, and review sentiment. Provide detailed insights and improvement recommendations for each element.
Provide new ASIN launch recommendations (keywords, images, copy strategy)
For my newly launched ASIN, recommend top keywords, image ideas, and ideal title and bullet points after analyzing the most relevant competitors. Focus on differentiating features and ensure the copy communicates premium quality to customers.
Note: This workflow generates output only after running over two time periods, as it compares data from Time 1 to Time 2.Create a workflow that checks my ASIN listing week over week and alerts me if there are detrimental changes including: Amazon Choice badge removal, Best Seller badge removal, rating drops, buybox changes, title changes, bullet point changes, image changes, and category node changes.
For my ASIN, identify top 10 competitors who have exactly similar products, analyze keywords they are ranking for within top 40 positions with search volume 1000+. Create exact match campaigns for keywords where competitors rank well but I’m not running ads. Include suggested bid recommendations.
Launch campaigns using top-performing PPC keywords
For my ASIN, identify keywords from search term reports that generated at least 3 orders in the last 30 days. Remove keywords already being targeted in current campaigns. Check organic ranking for untapped keywords and group them based on ranking. Select top keywords from each group and create Sponsored Products campaigns.
For my campaigns, analyze the last 30 days targeting report and optimize bids based on performance. Calculate ACoS and spend thresholds, then categorize targetings into good performers (increase bids), bad performers (decrease bids for non-exact, pause exact match), and non-performers (pause). For exact match keywords with poor organic ranking (above 50), decrease bids instead of pausing. Apply bid adjustments automatically and provide summary of changes made.
Increase bids for low visibility high-potential keywords
For my campaigns, identify enabled targetings from the last 30 days with no sales. Create two groups: low clicks (1-4 clicks) and low impressions (0 clicks, under 100 impressions). Remove any targetings that duplicate search terms from other ad groups, then increase bids by 5% for all remaining underperforming targetings.
Add negative keywords for high-click zero-conversion search terms
For my ad group, filter for search terms with zero sales and high clicks above calculated thresholds. Separate into relevant vs non-relevant terms, then competitive vs non-competitive terms. Negate non-relevant terms immediately, negate relevant but non-competitive terms, and negate competitive terms only if clicks are exceptionally high with no conversions.
Add negative targeting for non-competitive ASINs with zero sales
For my campaigns, identify all ASIN search terms from the last 30 days with 0 sales that exceed click thresholds. Assess competitiveness of these ASINs against my advertised products, separate into competitive and non-competitive lists, then negate non-competitive ASINs and competitive ASINs exceeding the competitive clicks threshold. Exclude already negated products from analysis.
Pause underperforming products (no sales or high ACoS)
For my ad group, analyze last 30 days advertised product report data and pause underperforming ASINs based on ACoS and spend thresholds. Pause ASINs with zero sales exceeding spend threshold, exclude top 50% sales contributors from analysis, and pause remaining ASINs with ACoS above group average threshold.
Identify incremental ROAS opportunities from increased ad spend
For my ASIN, analyze last 30 days of ad spend, ad sales and ROAS data week over week for the last 8 weeks. Identify which targeting and ASIN combinations generate higher ROAS on incremental ad spend and recommend optimal spend increases.
For my ASIN, identify seasonal keywords that where my competitors are ranking within top 40 but I’m not spending or ranking well. Focus on keywords with 1000+ search volume and provide seasonal campaign recommendations.
Conduct comprehensive keyword research and trend analysis
For my ASIN, create a comprehensive keyword research workflow: analyze my top search terms, identify competitor ranking keywords, and create a master list of 50 high-potential keywords segmented by search volume, competition level, and relevance score.
For my ASINs, monitor week-on-week competitor price and BSR changes. If a competitor’s BSR increases by more than 10% due to their price change, share a price change recommendation for my ASIN.
Determine optimal pricing thresholds without sales loss
For my ASIN, determine the maximum price I can sell at without losing sales. Consider pricing and BSR trends for my ASIN and competitor ASINs to propose an optimal price I can sell at without losing my BSR.
For my ASIN, analyze my last 30 days of customer reviews and tell me what customers like and don’t like in as much detail as possible. Cross-reference with competitor reviews to identify areas for product improvement and listing optimization.
Identify and flag reviews violating Amazon Terms of Service
For my ASIN, review all customer reviews from the last 30 days and identify any that may violate Amazon’s Terms of Service. Also, identify reviews not related to the product (such as packaging or delivery issues) and reviews that could be fake or incentivized. Show me a final table of all reviews that meet this criteria.
Generate restock recommendations for low inventory ASINs
For my ASINs, analyze sales velocity over 7, 30, and 60 days and select the highest average daily sales rate. Calculate days of cover based on current inventory levels and recommend dispatch quantities to maintain 75 days of stock (10-day lead time plus 65-day for Amazon holding buffer). Show ASIN, sales rate, current inventory, days of cover, and recommended dispatch quantity to avoid stockouts.
For each of my ASINs, compare key metrics week over week and month over month: PPC performance, price changes, inventory levels, impressions, conversions, CTR, units sold. Present data in tabular format with clear trend indicators and anomaly alerts.
Note: This workflow generates output only after running over two time periods, as it compares data from Time 1 to Time 2.For my ASIN, analyze organic and sponsored CVR and CTR for every week and show week over week trends for the last 12 weeks. Identify periods of significant drops and correlate with ad changes, listing changes, or key competitor actions.
Create a dashboard showing week over week, and month over month, total sales and ads data in tabular format. Rows should be ASINs, columns should include: sales, overall sessions, overall orders, overall units, overall conversion rate, ad sales, ad orders, ad spend, ad clicks, ad CVR, ACoS, TACoS, organic sales, organic percentage, impressions, CTR, and CPC for both weeks.
Identify new product opportunities within category
Option 1:For my ASIN, go to its category node and identify products with low review counts but good BSR compared to high-rated products. Show ASIN, product name, rating, review count, estimated monthly sales, category node name, and BSR. Identify market gaps for new product development.Option 2:For my ASIN, identify top keywords by ad sales, check organic search results, and identify products with low review counts and a BSR similar to or slightly lower than my product. Show competitor ASIN, product name, rating, review count, estimated monthly sales, and BSR. Identify market gaps for new product development.
Conduct market gap analysis and expansion recommendations
For my ASIN category, analyze top-selling products, identify underserved customer needs through review analysis, and recommend new product opportunities. Include competition analysis with their details, and suggest product features for development.
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Prioritize keywords with high search volume (1000+) and low competition that should be integrated into my title, bullets, and backend search terms.`}),`\n`,_jsx(Heading,{level:`3`,id:`analyze-listings-and-pricing-impact-on-sales-performance`,children:`Analyze listings and pricing impact on sales performance`}),`\n`,_jsxs(_components.p,{children:[_jsx(_components.strong,{children:`Note:`}),` This workflow generates output only after running over two time periods, as it compares data from Time 1 to Time 2.`]}),`\n`,_jsx(_components.p,{children:`For my ASIN, analyze the correlation between my listing changes (title, bullets, images, price) and sales performance week over week.`}),`\n`,_jsx(Heading,{level:`3`,id:`score-listing-quality-against-competitors-1-5-rating`,children:`Score listing quality against competitors (1-5 rating)`}),`\n`,_jsx(_components.p,{children:`For my ASIN, score my listing quality against competitors on a scale of 1-5 for title optimization, bullet point effectiveness, image quality, keyword coverage, and review sentiment. Provide detailed insights and improvement recommendations for each element.`}),`\n`,_jsx(Heading,{level:`3`,id:`provide-new-asin-launch-recommendations-keywords-images-copy-strategy`,children:`Provide new ASIN launch recommendations (keywords, images, copy strategy)`}),`\n`,_jsx(_components.p,{children:`For my newly launched ASIN, recommend top keywords, image ideas, and ideal title and bullet points after analyzing the most relevant competitors. 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Create exact match campaigns for keywords where competitors rank well but I’m not running ads. Include suggested bid recommendations.`}),`\n`,_jsx(Heading,{level:`3`,id:`launch-campaigns-using-top-performing-ppc-keywords`,children:`Launch campaigns using top-performing PPC keywords`}),`\n`,_jsx(_components.p,{children:`For my ASIN, identify keywords from search term reports that generated at least 3 orders in the last 30 days. Remove keywords already being targeted in current campaigns. Check organic ranking for untapped keywords and group them based on ranking. Select top keywords from each group and create Sponsored Products campaigns.`}),`\n`,_jsx(Heading,{level:`3`,id:`optimize-ads-based-on-inventory-levels`,children:`Optimize ads based on inventory levels`}),`\n`,_jsx(_components.p,{children:`Identify ASINs with more than 5 months of inventory and increase ad spend by 20%. For ASINs with less than 6 weeks inventory, reduce ad spend by 20%.`}),`\n`,_jsx(Heading,{level:`3`,id:`optimize-keyword-bid-strategies`,children:`Optimize keyword bid strategies`}),`\n`,_jsx(_components.p,{children:`For my campaigns, analyze the last 30 days targeting report and optimize bids based on performance. Calculate ACoS and spend thresholds, then categorize targetings into good performers (increase bids), bad performers (decrease bids for non-exact, pause exact match), and non-performers (pause). For exact match keywords with poor organic ranking (above 50), decrease bids instead of pausing. Apply bid adjustments automatically and provide summary of changes made.`}),`\n`,_jsx(Heading,{level:`3`,id:`increase-bids-for-low-visibility-high-potential-keywords`,children:`Increase bids for low visibility high-potential keywords`}),`\n`,_jsx(_components.p,{children:`For my campaigns, identify enabled targetings from the last 30 days with no sales. Create two groups: low clicks (1-4 clicks) and low impressions (0 clicks, under 100 impressions). Remove any targetings that duplicate search terms from other ad groups, then increase bids by 5% for all remaining underperforming targetings.`}),`\n`,_jsx(Heading,{level:`3`,id:`add-negative-keywords-for-high-click-zero-conversion-search-terms`,children:`Add negative keywords for high-click zero-conversion search terms`}),`\n`,_jsx(_components.p,{children:`For my ad group, filter for search terms with zero sales and high clicks above calculated thresholds. Separate into relevant vs non-relevant terms, then competitive vs non-competitive terms. Negate non-relevant terms immediately, negate relevant but non-competitive terms, and negate competitive terms only if clicks are exceptionally high with no conversions.`}),`\n`,_jsx(Heading,{level:`3`,id:`add-negative-targeting-for-non-competitive-asins-with-zero-sales`,children:`Add negative targeting for non-competitive ASINs with zero sales`}),`\n`,_jsx(_components.p,{children:`For my campaigns, identify all ASIN search terms from the last 30 days with 0 sales that exceed click thresholds. Assess competitiveness of these ASINs against my advertised products, separate into competitive and non-competitive lists, then negate non-competitive ASINs and competitive ASINs exceeding the competitive clicks threshold. Exclude already negated products from analysis.`}),`\n`,_jsx(Heading,{level:`3`,id:`pause-underperforming-products-no-sales-or-high-acos`,children:`Pause underperforming products (no sales or high ACoS)`}),`\n`,_jsx(_components.p,{children:`For my ad group, analyze last 30 days advertised product report data and pause underperforming ASINs based on ACoS and spend thresholds. Pause ASINs with zero sales exceeding spend threshold, exclude top 50% sales contributors from analysis, and pause remaining ASINs with ACoS above group average threshold.`}),`\n`,_jsx(Heading,{level:`3`,id:`identify-incremental-roas-opportunities-from-increased-ad-spend`,children:`Identify incremental ROAS opportunities from increased ad spend`}),`\n`,_jsx(_components.p,{children:`For my ASIN, analyze last 30 days of ad spend, ad sales and ROAS data week over week for the last 8 weeks. Identify which targeting and ASIN combinations generate higher ROAS on incremental ad spend and recommend optimal spend increases.`}),`\n`,_jsx(_components.hr,{}),`\n`,_jsx(Heading,{level:`2`,id:`keyword-research-\u0026-seasonal-intelligence`,children:_jsx(_components.strong,{children:`Keyword Research \u0026 Seasonal Intelligence`})}),`\n`,_jsx(Heading,{level:`3`,id:`identify-seasonal-keyword-opportunities`,children:`Identify seasonal keyword opportunities`}),`\n`,_jsx(_components.p,{children:`For my ASIN, identify seasonal keywords that where my competitors are ranking within top 40 but I’m not spending or ranking well. 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For inventory less than 2 weeks, increase prices by 10%.`}),`\n`,_jsx(Heading,{level:`3`,id:`monitor-competitor-price-movements-and-alerts`,children:`Monitor competitor price movements and alerts`}),`\n`,_jsx(_components.p,{children:`For my ASINs, monitor week-on-week competitor price and BSR changes. If a competitor’s BSR increases by more than 10% due to their price change, share a price change recommendation for my ASIN.`}),`\n`,_jsx(Heading,{level:`3`,id:`determine-optimal-pricing-thresholds-without-sales-loss`,children:`Determine optimal pricing thresholds without sales loss`}),`\n`,_jsx(_components.p,{children:`For my ASIN, determine the maximum price I can sell at without losing sales. Consider pricing and BSR trends for my ASIN and competitor ASINs to propose an optimal price I can sell at without losing my BSR.`}),`\n`,_jsx(_components.hr,{}),`\n`,_jsx(Heading,{level:`2`,id:`review-management-\u0026-compliance`,children:_jsx(_components.strong,{children:`Review Management \u0026 Compliance`})}),`\n`,_jsx(Heading,{level:`3`,id:`extract-actionable-insights-from-customer-reviews`,children:`Extract actionable insights from customer reviews`}),`\n`,_jsx(_components.p,{children:`For my ASIN, analyze my last 30 days of customer reviews and tell me what customers like and don’t like in as much detail as possible. Cross-reference with competitor reviews to identify areas for product improvement and listing optimization.`}),`\n`,_jsx(Heading,{level:`3`,id:`identify-and-flag-reviews-violating-amazon-terms-of-service`,children:`Identify and flag reviews violating Amazon Terms of Service`}),`\n`,_jsx(_components.p,{children:`For my ASIN, review all customer reviews from the last 30 days and identify any that may violate Amazon’s Terms of Service. Also, identify reviews not related to the product (such as packaging or delivery issues) and reviews that could be fake or incentivized. Show me a final table of all reviews that meet this criteria.`}),`\n`,_jsx(_components.hr,{}),`\n`,_jsx(Heading,{level:`2`,id:`inventory-management`,children:_jsx(_components.strong,{children:`Inventory Management`})}),`\n`,_jsx(Heading,{level:`3`,id:`generate-restock-recommendations-for-low-inventory-asins`,children:`Generate restock recommendations for low inventory ASINs`}),`\n`,_jsx(_components.p,{children:`For my ASINs, analyze sales velocity over 7, 30, and 60 days and select the highest average daily sales rate. Calculate days of cover based on current inventory levels and recommend dispatch quantities to maintain 75 days of stock (10-day lead time plus 65-day for Amazon holding buffer). Show ASIN, sales rate, current inventory, days of cover, and recommended dispatch quantity to avoid stockouts.`}),`\n`,_jsx(_components.hr,{}),`\n`,_jsx(Heading,{level:`2`,id:`performance-analytics-\u0026-reporting`,children:_jsx(_components.strong,{children:`Performance Analytics \u0026 Reporting`})}),`\n`,_jsx(Heading,{level:`3`,id:`compare-key-asin-metrics-week-over-week-month-over-month`,children:`Compare key ASIN metrics (week-over-week, month-over-month)`}),`\n`,_jsx(_components.p,{children:`For each of my ASINs, compare key metrics week over week and month over month: PPC performance, price changes, inventory levels, impressions, conversions, CTR, units sold. Present data in tabular format with clear trend indicators and anomaly alerts.`}),`\n`,_jsx(Heading,{level:`3`,id:`analyze-and-diagnose-conversion-rate-drops`,children:`Analyze and diagnose conversion rate drops`}),`\n`,_jsxs(_components.p,{children:[_jsx(_components.strong,{children:`Note:`}),` This workflow generates output only after running over two time periods, as it compares data from Time 1 to Time 2.`]}),`\n`,_jsx(_components.p,{children:`For my ASIN, analyze organic and sponsored CVR and CTR for every week and show week over week trends for the last 12 weeks. Identify periods of significant drops and correlate with ad changes, listing changes, or key competitor actions.`}),`\n`,_jsx(Heading,{level:`3`,id:`generate-comprehensive-performance-dashboards`,children:`Generate comprehensive performance dashboards`}),`\n`,_jsx(_components.p,{children:`Create a dashboard showing week over week, and month over month, total sales and ads data in tabular format. Rows should be ASINs, columns should include: sales, overall sessions, overall orders, overall units, overall conversion rate, ad sales, ad orders, ad spend, ad clicks, ad CVR, ACoS, TACoS, organic sales, organic percentage, impressions, CTR, and CPC for both weeks.`}),`\n`,_jsx(_components.hr,{}),`\n`,_jsx(Heading,{level:`2`,id:`product-strategy-\u0026-market-opportunities`,children:_jsx(_components.strong,{children:`Product Strategy \u0026 Market Opportunities`})}),`\n`,_jsx(Heading,{level:`3`,id:`identify-new-product-opportunities-within-category`,children:`Identify new product opportunities within category`}),`\n`,_jsx(_components.p,{children:`Option 1:`}),`\n`,_jsx(_components.p,{children:`For my ASIN, go to its category node and identify products with low review counts but good BSR compared to high-rated products. Show ASIN, product name, rating, review count, estimated monthly sales, category node name, and BSR. Identify market gaps for new product development.`}),`\n`,_jsx(_components.p,{children:`Option 2:`}),`\n`,_jsx(_components.p,{children:`For my ASIN, identify top keywords by ad sales, check organic search results, and identify products with low review counts and a BSR similar to or slightly lower than my product. Show competitor ASIN, product name, rating, review count, estimated monthly sales, and BSR. Identify market gaps for new product development.`}),`\n`,_jsx(Heading,{level:`3`,id:`conduct-market-gap-analysis-and-expansion-recommendations`,children:`Conduct market gap analysis and expansion recommendations`}),`\n`,_jsx(_components.p,{children:`For my ASIN category, analyze top-selling products, identify underserved customer needs through review analysis, and recommend new product opportunities. Include competition analysis with their details, and suggest product features for development.`})]})}function MDXContent(props={}){const{wrapper:MDXLayout}={..._provideComponents(),...props.components};return MDXLayout?_jsx(MDXLayout,{...props,children:_jsx(_createMdxContent,{...props})}):_createMdxContent(props)}return{default:MDXContent};function _missingMdxReference(id,component){throw new Error(`Expected `+(component?`component`:`object`)+\" `\"+id+\"` to be defined: you likely forgot to import, pass, or provide it.\")}","frontmatter":{},"scope":{"config":{},"pageMetadata":{"title":"Prompts examples","description":"These are examples of how you can prompt the agent to get the desired output. The more you explain your current process in 3 to 4 sentences, the better the output will be.","href":"/more-resources/prompt-examples"}}},"mdxSourceWithNoJs":null},"mdxExtracts":{"tableOfContents":[{"title":"Listing Optimization","slug":"listing-optimization","depth":2,"children":[{"title":"Optimize bullet points using competitor ranking keywords and review analysis","slug":"optimize-bullet-points-using-competitor-ranking-keywords-and-review-analysis","depth":3,"children":[]},{"title":"Optimize product images based on competitor analysis and reviews","slug":"optimize-product-images-based-on-competitor-analysis-and-reviews","depth":3,"children":[]},{"title":"Generate backend search terms for ASINs","slug":"generate-backend-search-terms-for-asins","depth":3,"children":[]},{"title":"Add seed keywords to product listings","slug":"add-seed-keywords-to-product-listings","depth":3,"children":[]},{"title":"Analyze listings and pricing impact on sales 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spend","slug":"identify-incremental-roas-opportunities-from-increased-ad-spend","depth":3,"children":[]}]},{"title":"Keyword Research \u0026 Seasonal Intelligence","slug":"keyword-research-\u0026-seasonal-intelligence","depth":2,"children":[{"title":"Identify seasonal keyword opportunities","slug":"identify-seasonal-keyword-opportunities","depth":3,"children":[]},{"title":"Conduct comprehensive keyword research and trend analysis","slug":"conduct-comprehensive-keyword-research-and-trend-analysis","depth":3,"children":[]}]},{"title":"Competitive Intelligence \u0026 Pricing","slug":"competitive-intelligence-\u0026-pricing","depth":2,"children":[{"title":"Reprice products based on inventory levels","slug":"reprice-products-based-on-inventory-levels","depth":3,"children":[]},{"title":"Monitor competitor price movements and alerts","slug":"monitor-competitor-price-movements-and-alerts","depth":3,"children":[]},{"title":"Determine optimal pricing thresholds without sales 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