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Agent use case: Research winning Shopify stores and Meta ads

Document v1 · published by Koskamo · updated 2026-10-18

Original source

A detailed dossier on a specific ecommerce store including traffic metrics, top products, and live Meta ad creatives, enabling data-driven competitive analysis without manual searching.

The agent uses the AdLibrarySpy MCP server to search the shops directory for stores based on criteria like platform, category, or traffic. It then retrieves specific store dossiers containing SimilarWeb traffic data, product lists, and app stacks. Additionally, it searches the Meta ads library for the brand to analyze ad copy, placements, and run dates. The agent compiles this information to provide a comprehensive competitive intelligence report.

Prompt: Research the top-performing Shopify stores in the 'fitness' niche with over 100k monthly visits. For the top result, provide a dossier including their traffic trends, top products, and a summary of their current Meta ad creatives.

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Original source
adlibraryspy.com
Published on Koskamo by
Koskamo
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Document v1
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Agent use case: Research winning Shopify stores and Meta ads — Koskamo