Merchants and marketplace leads often search for ways to validate new aisles before POs and listing plans lock. Trends MCP lets commerce teams compare Google, Shopping, Amazon, and social curves inside the same AI session.
Expansion decisions need more than a static TAM slide. Buyers want to see whether demand is accelerating, where language diverges between Amazon and Google Shopping, and whether education happens on YouTube before checkout. Listicles on e-commerce APIs rank because they promise faster answers. Trends MCP targets operators who already adopted AI assistants and want those answers without standing up a scraper farm.
Bring three candidate category phrases. For each phrase, capture get_growth on Amazon and Google Shopping with identical windows such as 3M, 6M, and 12M. Flag the phrase where both sources agree on direction. Add YouTube when the product needs demonstration. Add TikTok when packaging aesthetics or use cases are visual. If seasonality matters, pair quantitative pulls with the seasonal analysis page linked below.
Run the same source stack on a competitor brand string found in the related competitor analysis page workflow. If the challenger brand accelerates while the generic head term stays flat, incumbents may be losing share of voice even though the aisle still looks healthy at the category level.
One-week spikes in news volume can reflect PR stunts, recalls, or influencer drama. Read news volume alongside news sentiment before blaming organic demand. Trends MCP makes that pairing a short prompt instead of a second vendor contract.
Tools for this workflow
get_trendsOverlay Amazon search trends with Google Shopping for the same product phrase to see whether demand shows up first on marketplaces or open web shopping.
get_trends(keyword='standing desk mat', source='amazon')get_growthCompare 6M growth across three adjacent category phrases to rank expansion candidates before supplier calls.
get_growth(keyword='standing desk mat', source='google shopping', percent_growth=['6M', '12M'])get_top_trendsPull Amazon Best Sellers by Category when the team wants a snapshot of what is winning inside a target aisle.
get_top_trends(type='Amazon Best Sellers by Category', limit=25)FAQ