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Agent use case: Analyze viral post benchmarks — Koskamo

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Agent use case: Analyze viral post benchmarks

Agent use case: Analyze viral post benchmarks

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

Original source

The user receives a list of high-performing LinkedIn posts related to a specific topic, providing hooks and benchmarks for content creation.

The agent uses the viral_search tool to find posts by topic or creator. It filters for posts with high engagement metrics to identify trends. The agent then summarizes the key hooks and structures of these viral posts to help the user understand what resonates with the audience. No data is changed, only retrieved and analyzed.

Category: Research and knowledge
Effect: Read-only
MCP servers: 2pr.io MCP (https://koskamo.com/explore/2pr-io-mcp)
Source: 2pr.io MCP server for AI agents (https://2pr.io/docs/mcp)
Source quote: "Search 2M+ viral LinkedIn posts by topic or creator for benchmarks and hooks"
Playbook page: https://koskamo.com/explore/use-cases/analyze-viral-post-benchmarks

Prompt: Find the top 5 viral LinkedIn posts from the last month about 'Remote Work Culture'. I need to know what hooks they used and their average engagement rates.

Source and provenance

Original source: 2pr.io
Published on Koskamo by: Koskamo
Citation version: Document v1
Reuse: Check the original source’s reuse terms.

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Version history

Synced from the directory2026-10-18
Version 1