I am considering entering the [US] marketplace's [category keyword, e.g. portable fan] market. First find the relevant Xiyou market-insights category, then retrieve the last 24 months: market-size trends, unit sales and revenue in high/mid/low price bands, unit sales and product counts for new versus existing products, and seasonality. Summarize whether the market is growing or shrinking, the most promising price band and the difficulty for new products, and advise whether entry is worthwhile.

Analyze [US] marketplace's [category] brand landscape: retrieve the latest brand market-size ranking and the top five brands' unit-sales and revenue trends over 12 months, plus the top 20 ASINs in monthly sales. Summarize approximate CR5 share, stability among leading brands and fast-growing newcomers.

On the [US] marketplace, I sell [product/category] . Check category seasonality, peak/off seasons and short-term forecasts, alongside 24-month market-size trends and monthly keyword searches. Estimate the months when peak demand begins, peaks and declines, suggest inventory timing and how far ahead to start advertising during the off season.

Help me analyze this competitor in depth on the [US] marketplace: [ASIN or product URL] : basics (price, rating, review count, variations), orders in the last 30 days, monthly sales over 12 months, traffic scores over seven days (organic versus advertising), BSR trends, and title/main-image change history. Summarize pricing strategy, traffic mix and recent adjustments.

Analyze [US] marketplace's [ASIN] and its variation strategy: retrieve parent/child relationships, then batch-query all child ASINs' basics and 30-day orders. Identify the best-selling color/configuration/capacity, pricing tiers, core and traffic-driving variations, and lessons for our variation lineup.

I want to build a keyword strategy for [US] marketplace product [product name/ASIN] . First reverse-search [ASIN, optionally competitor ASINs] for keywords with rankings and traffic in the last seven days. Batch-query search volume, ABA rank, competition and suggested bids, then check ABA weekly growth. Prioritize high searches and low competition, classify core, long-tail and watchlist terms, and suggest exact/phrase/broad targeting for each tier.

My ASIN [B0XXXXXXXX] ( [US] marketplace) has seen orders fall over the past [2] weeks. Check in order: daily organic versus ad traffic decline; daily ranking and traffic for core keywords; BSR; and ad activity changes, including shutdowns or budget cuts. Identify the main cause and suggest advertising, listing or pricing actions.

Assess the difficulty of reaching the first page on the [US] marketplace for keyword [keyword] : retrieve search volume, ABA rank, competition, suggested bid and ABA weekly trends; reverse-search ASINs competing for this keyword's traffic over seven days; and review monthly competitive history. Summarize incumbents' rating/review thresholds and price bands, and likely requirements for a new ASIN to reach page one.

Help me track [US] marketplace's [category] this month's rankings: retrieve the top 20 parent ASINs in monthly sales, new-product and rising lists, compare with last month, and identify new entries and fastest climbers. Review the top three climbers using basics, 30-day orders and traffic scores to assess whether price, new-product traffic or advertising drives them.

Help me monitor [US] marketplace: [ASIN] in the last [6] months: retrieve each title/main-image change with dates and before/after comparisons, alongside price and rating trends. Analyze timing (pre-season growth, bad reviews or traffic declines), direction (keywords, narrower feature expectations or a new visual selling point), and actual traffic/rating changes afterward.

Assess [US] marketplace's [category] and its review entry threshold: retrieve category rating and review-count distributions, then batch-query ratings/reviews for the top 20 monthly-sales ASINs. Address satisfaction, 1–2 star share and common pain points; the approximate reviews needed for top-20 entry; and estimated time/orders for a zero-review launch to reach that threshold, with a judgment on value.

Break down [US] marketplace: [ASIN] and its advertising tactics: retrieve daily newly observed ad activities over the last [12] months and summarize monthly additions for SP / SB / SBV, alongside daily organic/ad traffic shares. Assess continuous versus pulsed advertising, peak timing (season, sale or launch), whether organic traffic grows as the ad-to-organic ratio falls, likely seasonal emphasis, and whether off-season advertising stops or stays low.

Analyze [US] marketplace ASIN [B0XXXXXXXX] in the last [30] days of ad placement traffic: retrieve daily traffic with scores for SP, SB, SBV, SOR (other search-results placements), OR (other product-detail placements), and OOR (off-site). Summarize the dominant placement, SBV share and whether the SOR/OR balance suggests search competition or competitor detail-page traffic. Compare with [competitor ASIN] and describe differences in placement mix.

For the [US] marketplace, review these competitors in a batch: [B0XXXXXXXX, B0YYYYYYYY, B0ZZZZZZZZ … up to 20] . Retrieve basics (price/rating/reviews), 30-day orders and seven-day organic/ad traffic scores for each. Create a table sorted by orders, highlighting price rises/cuts, fastest review growth, healthiest organic-to-ad mix and ratings below 4.2 as potential opportunities.

I want to build a keyword strategy for [US] marketplace product [product] select advertising terms from: [keyword1, keyword2, … up to 20] . Batch-query search volume, ABA rank, competition and suggested bid; then retrieve ABA weekly trends for [5] core candidates to check growth. Create a matrix ranked by value using search volume and competition, distinguishing high-search/low-competition terms, expensive crowded terms and suggested bids above 15% of my order value of [XX] USD (exclude these under the original prompt's cost heuristic).

On the [US] marketplace, I sell [product/category keyword] , and I want to assess Europe and Japan. In each of the [UK] 、 [DE] 、 [JP] marketplaces, find the category's market-insights node. Compare market-size trends, high/mid/low price bands, prices and review thresholds for monthly top-10 ASINs, and keyword search trends. Build a matrix of capacity/growth, competition/review barriers and price fit with my costs, then rank recommended entry markets with reasons.

Help me find candidates in the [US] marketplace's [category] new-product rankings: retrieve the past [3] months' monthly top-20 lists, identify persistent entries whose rankings keep improving, and review the top three using basics, monthly orders, organic/ad traffic, pricing and review growth. Assess new-product support, ad spending or differentiated features as growth drivers, and decide which to follow or avoid.

[US] marketplace's [category] in the monthly rising rankings, [ASIN] has surged. Retrieve basics, monthly orders, daily organic/ad traffic, BSR, newly observed ads, price history and listing changes. Assess whether advertising pulses, low-price volume, off-site promotion (total traffic rises without ad growth) or category-wide seasonality explains it, whether momentum can last and whether I should respond.

I need to price [US] marketplace new product [product/category] at a target of [XX] – [YY] USD. Retrieve 12-month unit-sales and revenue trends across high/mid/low price bands; list ASINs around the target price; and batch-query the top-selling [10] products' prices, ratings and reviews. Show unit/revenue shares (volume is not revenue), review/rating thresholds and concentration, then suggest a specific price gap, launch/list price combination and room for the first promotion.

On sale day ( [2026-07-08] Prime Day), monitor hourly rankings for [US] marketplace ASIN [B0XXXXXXXX] under keyword [keyword] : retrieve its 24-hour ranking curve and compare competitor [B0YYYYYYYY] under the same keyword. Show hourly fluctuations, when rankings reshuffle, whether my listing holds page one during likely traffic peaks (00–06 and 20–24), when the competitor overtakes me and ranking recovery in the following week.

Give my ASIN [B0XXXXXXXX] ( [US] marketplace) a weekly check: seven-day organic/ad traffic scores, daily rankings for core keywords [keyword1, keyword2, keyword3] , BSR, prices, review counts, rating changes and newly observed ads this week. Classify each metric as normal, worse or better week over week; suggest possible causes and weekly actions for declines.