Commerce SKU angles from multi-source trends

Why do multi-source curves change assortment meetings?

Amazon may climb while Google Search lags, signaling marketplace-led demand. The opposite pattern hints at education-heavy purchases where blogs and YouTube matter more. Trends MCP lets analysts pull each source with the same keyword string so comparisons stay fair. E-commerce product research collects broader playbooks for operators.

How should planners line up Amazon, Shopping, and TikTok?

Run get_trends on amazon and google shopping first because both describe purchase intent. Add google search when the SKU needs explanatory content, then layer tiktok if influencers drive the category. Close with get_growth using identical percent_growth presets so growth columns align in spreadsheets.

What role do live best seller feeds play?

get_top_trends on Amazon Best Sellers surfaces category snapshots that keyword histories can miss during lightning deals or algorithm shifts. Pair those snapshots with slower-moving weekly series so teams see both immediate shelves and multi-month arcs. Amazon search trends documents the amazon source in more detail.

Where should assistants connect Trends MCP?

Merchandising analysts often live in ChatGPT for narrative drafts and Cursor for SQL or Python follow-ups. Both clients can share one API key when vault policies allow, but production jobs should run on server keys with rotation. Setup links live on MCP server for Cursor and the ChatGPT-specific guide for connector fields.